instruction stringclasses 439
values | input stringlengths 133 3.77k | output stringlengths 4 899 | arc_task stringlengths 396 21.6k | test_index int64 0 1 | earlier_output stringclasses 1
value | benchmark stringclasses 584
values |
|---|---|---|---|---|---|---|
SIMONSOLVEVERSION1 predict raw pixels for 'O3T' | I0
41 16 0l9a090a94b5e1b5g1,0h90a90c9a04b15151a5151b515a15,0d90b9090f945g1a5151515b1,e90g909a094c51a5a15a15a1a51a5,a90e90a90f945a1a51a51b5e1a5,p9a0941a515b1a5a1a5a1c5,g90b9a0c909451c51a515c1a5151,90m9a0a945b151b5d15a15a1,d9b090c90d94c1515b1515151a5a1,0a90f90a90b9094c1a5a1515a15a151a5,g90b90f94a5c1515a15b15c1,090a90h90b... | 455454445554544
455444444445554
544554455445544
545444454444454
454455445555545
445545454555454
554454545444545
544444554455454
554555555555554
444445545545455
544455545454554
544454554554455
555545554545555
554544545454444
454544454544444
445454445455545
445455454554545
545555455544444
444555544445454 | {"train":[{"input":[[0,9,9,9,9,9,9,9,9,9,9,9,9,9,0,0,9,0,9,9,4,5,5,5,1,1,1,1,1,1,5,5,5,1,1,1,1,1,1,1,1],[0,9,9,9,9,9,9,9,9,9,0,9,9,0,9,9,9,9,0,0,4,1,1,1,5,1,5,1,5,5,1,5,1,5,5,5,1,5,1,1,5],[0,9,9,9,9,9,0,9,9,9,0,9,0,9,9,9,9,9,9,9,4,5,1,1,1,1,1,1,1,1,5,5,1,5,1,5,1,5,1,1,1],[9,9,9,9,9,9,0,9,9,9,9,9,9,9,9,0,9,0,0,9,4,5,5,5... | 0 | dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=other image_height=large task_pixels=d | |
SIMON-SOLVE-V1 predict pixels for O2T | I0
17 17 0,,,,,,,f0848f0,f0a48f0,f04a8f0,0,,,,,,
O0
27 27 k8b4k8,,,h8e4k8,,,h8b4n8,,,b8b4e8b4k8,,,e4b8e4k8,,,b4e8b4n8,,,b8b4t8,,,e4t8,,,b4w8,,
I1
11 11 0,,,,e048b0,e084b0,0,,,,
O1
12 12 b4h8,,,b8b4e8,,,e8b4b8,,,h8b4,,
I2T
10 12 0,,,,a0a84d0,a08a4d0,0,,,,,
O2T
None
I3T
13 11 0,,,,,,,,c0848e0,c0a48e0,0
O3T
None | 888888888888888888888888444
888888888888888888888888444
888888888888888888888888444
888888888888888888888444444
888888888888888888888444444
888888888888888888888444444
888888888888888444888888444
888888888888888444888888444
888888888888888444888888444
888888888888444444888444444
888888888888444444888444444
888888888888... | {"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],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[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],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,8,4,8,0,0,0,0,0,0,0],[0,0,0,0,0,0... | 0 | dataset=solve_fractal group=pattern_to_fractal predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d | |
Simon-Solve-Version1 predict pixels for 'O5T' | I0
10 8 h54,b5a4b549,b545656a9,a5a4b5a95,a49b19195,6549a59595,b59596054,a5459a5b0
O0
10 8 c4e9,b4d949,b4f9,a4g9,c4e9,9494b94a9,c49494a9,a4a94a94a9
I1
13 4 171c7871717,d767451787,87b3a475b78,18a41b371a78
O1
13 4 949b4f9,d4e949,e4f9,a94i9
I2
7 7 2858282,8245428,b84b8,a8a4582,a841a52,24a54a8,452a828
O2
7 7 49494a9,4e9,4b9... | 4449999
4449999
4449999
4449999
4449999
4449999 | {"train":[{"input":[[5,5,5,5,5,5,5,5,5,4],[5,5,5,4,4,5,5,5,4,9],[5,5,5,4,5,6,5,6,9,9],[5,5,4,4,5,5,5,9,9,5],[4,4,9,1,1,1,9,1,9,5],[6,5,4,9,5,5,9,5,9,5],[5,5,5,9,5,9,6,0,5,4],[5,5,4,5,9,5,5,0,0,0]],"output":[[4,4,4,4,9,9,9,9,9,9],[4,4,4,9,9,9,9,9,4,9],[4,4,4,9,9,9,9,9,9,9],[4,4,9,9,9,9,9,9,9,9],[4,4,4,4,9,9,9,9,9,9],[9,... | 1 | dataset=solve_half group=half_right_all8 predict=rawpixels earlier_prediction=none image_width=medium image_height=small task_pixels=b | |
SIMONSOLVEV1 'O5T' predict the raw pixels | I0
5 4 c32,,8a0a2,
O0
4 2 8a02,
I1
9 5 a02d32,,,a0a2a8a02,
O1
5 3 2a8a0,,
I2
9 6 a02a38a02,,,,a0a2a8a02,
O2
2 4 28,,,
I3
12 7 8g3a28,,,,,8a0a2a8a0a28,
O3
8 5 a0a2a8a0,,,,
I4T
10 10 a8a0a2a8a0,,,,,,,,a80d3a0,
O4T
None
I5T
11 9 a0a2a8a0a28,,a0a3a8a0a28,,,,a0a2a8a0a28,,
O5T
None | 22
22
22
22 | {"train":[{"input":[[3,3,3,3,2],[3,3,3,3,2],[8,0,0,2,2],[8,0,0,2,2]],"output":[[8,0,0,2],[8,0,0,2]]},{"input":[[0,0,2,3,3,3,3,3,2],[0,0,2,3,3,3,3,3,2],[0,0,2,3,3,3,3,3,2],[0,0,2,2,8,8,0,0,2],[0,0,2,2,8,8,0,0,2]],"output":[[2,8,8,0,0],[2,8,8,0,0],[2,8,8,0,0]]},{"input":[[0,0,2,3,3,8,0,0,2],[0,0,2,3,3,8,0,0,2],[0,0,2,3,3... | 1 | dataset=solve_mask group=repair_rectangle_and_crop predict=rawpixels earlier_prediction=none image_width=medium image_height=small task_pixels=a | |
simon-solve-version1, 'O3T', predict the pixels | I0
18 15 a4b0c484d0a4,b04054e0d6,04b0g604a05,d65a4a0404d0,0a8b4c080845b0,040a8a4a0808050405,4a0a48508c4a7050,8a4b0a8b0a7405a4,40a404a08a7504a040,c0404a7a845808a0,a08a0a704a0b854a0,a04a70404c0a8a45,5a7h0404a80,c045040505405054,8404b0804b0804a0
O0
18 15 202a4056b0f6,a24060f6a04a0,2c645a4a04040450,20a8a4804508084574,2040a... | 2858585899998
2258588585559
2285558588855
2585525888888
2588258885858
2252588882852
2222222222222 | {"train":[{"input":[[4,4,0,0,0,4,4,4,4,8,4,0,0,0,0,0,4,4],[0,0,0,4,0,5,4,0,0,0,0,0,0,6,6,6,6,6],[0,4,0,0,0,6,6,6,6,6,6,6,6,0,4,0,0,5],[6,6,6,6,6,5,4,4,0,0,4,0,4,0,0,0,0,0],[0,8,8,4,4,4,0,0,0,0,8,0,8,4,5,0,0,0],[0,4,0,8,8,4,4,0,0,8,0,8,0,5,0,4,0,5],[4,0,0,4,4,8,5,0,8,4,4,4,4,7,7,0,5,0],[8,4,4,0,0,0,8,8,0,0,0,7,7,4,0,5,4... | 0 | dataset=solve_probecolor group=probecolor_bottomleft predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d | |
SIMON-SOLVE-V1, 'O5T', predict the pixels | I0
15 8 0a50c50c535,f50f5,5153a5052c5a0,b5105a234530a5,a0a5a8503045050,a5083d514505,b5050a5a150b5,0a5b0350c501
O0
15 8 9a09b0g9,f0g9,0909b0g9,b0a9a0a90a90a9,c0a90d90a9,c09a0g9,b0909090e9,9a0k9
I1
10 5 863a060806,8f0a8,b0a8080a6,h08,a8b080b8
O1
10 5 b90b90a9,9b0e9,c0c909,c0e9,09a0b90a9
I2
12 8 1f01a01,71a06b06b0,0701g0,... | 0090900990999
9090909999099
0090009999099
0000009999999
9009909999999
0099999099099
9099009990999
0099099090999
9000990999999
9009900999999
9900009999999 | {"train":[{"input":[[0,5,5,0,5,5,5,5,0,5,5,5,5,3,5],[5,5,5,5,5,5,5,0,5,5,5,5,5,5,5],[5,1,5,3,5,5,0,5,2,5,5,5,5,0,0],[5,5,5,1,0,5,2,2,3,4,5,3,0,5,5],[0,0,5,5,8,8,5,0,3,0,4,5,0,5,0],[5,5,0,8,3,5,5,5,5,5,1,4,5,0,5],[5,5,5,0,5,0,5,5,1,1,5,0,5,5,5],[0,5,5,0,0,0,3,5,0,5,5,5,5,0,1]],"output":[[9,0,0,9,0,0,0,9,9,9,9,9,9,9,9],[... | 0 | dataset=solve_half group=half_right_all8 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
simonsolveversion1, O3T, predict pixels | I0
23 14 4e94c74a84e14,,,4,4e54c5c4e04,,,,,,4,4e14c14a14e14,,4
O0
4 3 1,04a5,1879
I1
17 20 4d54d54b54,,4,4d54d94b54,,,,,,4,4d24d54b54,,,,4,4d54d54b24,,,,4
O1
3 4 2a5,a52,595,5
I2T
14 24 474d94c34,,4,494d34c34,,4,434d34c34,4,434d94c34,,,,4,434d74c74,,,,,,4,474d94c94,,,4
O2T
None
I3T
22 24 454a54c54c54b3484,,,4,454a54c54... | 555549
559935
395655
566555
835555 | {"train":[{"input":[[4,9,9,9,9,9,9,4,7,7,7,7,4,8,8,4,1,1,1,1,1,1,4],[4,9,9,9,9,9,9,4,7,7,7,7,4,8,8,4,1,1,1,1,1,1,4],[4,9,9,9,9,9,9,4,7,7,7,7,4,8,8,4,1,1,1,1,1,1,4],[4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4],[4,5,5,5,5,5,5,4,5,5,5,5,4,4,4,4,0,0,0,0,0,0,4],[4,5,5,5,5,5,5,4,5,5,5,5,4,4,4,4,0,0,0,0,0,0,4],[4,5,5,5,5,5... | 1 | dataset=solve_grid group=extract_content_from_grid_180 predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c | |
simon-solve-version1, 'O2T', predict the raw pixels | I0
10 7 a5a0a4a5a0,,a0a4a5a0a4,0g14,4g15,,a5a0a4a5a0
O0
8 3 0a4a5a04,4a5a0a45,
I1
8 8 5a0a4a50,,0a4a5a04,,4d145,,5a0a4a50,
O1
5 2 a5a04,
I2T
10 11 a5a0a4a5a0,a0a4a5a0a4,c1a5a0a4,c1a0a4a5,,c1a4a5a0,,c1a5a0a4,,a4a5a0a4a5,
O2T
None | 0044
4455
4455
5500
5500
0044
0044 | {"train":[{"input":[[5,5,0,0,4,4,5,5,0,0],[5,5,0,0,4,4,5,5,0,0],[0,0,4,4,5,5,0,0,4,4],[0,1,1,1,1,1,1,1,1,4],[4,1,1,1,1,1,1,1,1,5],[4,1,1,1,1,1,1,1,1,5],[5,5,0,0,4,4,5,5,0,0]],"output":[[0,4,4,5,5,0,0,4],[4,5,5,0,0,4,4,5],[4,5,5,0,0,4,4,5]]},{"input":[[5,0,0,4,4,5,5,0],[5,0,0,4,4,5,5,0],[0,4,4,5,5,0,0,4],[0,4,4,5,5,0,0,... | 0 | dataset=solve_mask group=repair_rectangle_and_crop predict=rawpixels earlier_prediction=none image_width=small image_height=medium task_pixels=a | |
simonsolvev1, O4T, predict pixels | I0
1 25 6,5,,,,,,,,,3,,,,,6,,,,,,,,,
O0
1 25 3,,,,,,,,,,8,,,,,3,,,,,,,,,
I1
13 9 86838a686a8a6,83a8638b6838,a6a8b6865a38,a6a8a6a853b6,a83868a53c6,8b6856a38368,a8a68a63a6838,8a3a68383c6,68638a3e6
O1
13 9 3,,h38b3,g38c3,e3a8d3,d38f3,3,,
I2
17 10 j1a010a1,a0a1b010a1b0101,10a10c1010a10a1,1k0b10,a01a40b1010a1b0,c10a4a1010d1... | 3333
3383
3383
3833
3833
8333
3333
3333
3333
3333
3333
3333
3333 | {"train":[{"input":[[6],[5],[5],[5],[5],[5],[5],[5],[5],[5],[3],[3],[3],[3],[3],[6],[6],[6],[6],[6],[6],[6],[6],[6],[6]],"output":[[3],[3],[3],[3],[3],[3],[3],[3],[3],[3],[8],[8],[8],[8],[8],[3],[3],[3],[3],[3],[3],[3],[3],[3],[3]]},{"input":[[8,6,8,3,8,6,6,8,6,8,8,6,6],[8,3,8,8,6,3,8,6,6,6,8,3,8],[6,6,8,8,6,6,6,8,6,5,... | 1 | dataset=solve_mass group=mass5_all8 predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=b | |
SIMONSOLVEV1, 'O4T', predict the raw pixels | I0
6 6 a878a7,8d7,a7a878,a2a323,2a3232,a3b23
O0
6 3 b2a52,b2525,c2a5
I1
5 18 a78a7,7,b7a8,c78,8a787,78b7,78a78,7,,b2a3,3a232,3b23,2c3,a2b3,3c2,3a232,2a323,2b32
O1
5 9 a5b2,2a525,,5b25,25252,a2b5,a25a2,5a252,5b25
I2
14 8 8a78a78d787,78c78a78a787,b7878d7a87,a7878e7a87,b23e23b2,a3h2a32,2a323b2323b2,2
O2
14 4 2d52b52525,2d... | 2552555525255222555
5525222225552552255
5555252255255552222
2252522552252222555
2222255555222555222
2222225225555222222
2555525252525222555
2555552255525225225
2222222222222555552
5255555255252525222
2222555225252522525
5522255252255555252
2552252252225525522
5222552222555252225
2252255552552225225 | {"train":[{"input":[[8,8,7,8,7,7],[8,7,7,7,7,7],[7,7,8,8,7,8],[2,2,3,3,2,3],[2,3,3,2,3,2],[3,3,2,2,2,3]],"output":[[2,2,2,5,5,2],[2,2,2,5,2,5],[2,2,2,2,5,5]]},{"input":[[7,7,8,7,7],[7,7,7,7,7],[7,7,7,8,8],[7,7,7,7,8],[8,7,7,8,7],[7,8,7,7,7],[7,8,7,7,8],[7,7,7,7,7],[7,7,7,7,7],[2,2,2,3,3],[3,2,2,3,2],[3,2,2,2,3],[2,3,3,... | 0 | dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=c | |
SIMONSOLVEV1, O3T, predict pixels | I0
32 18 7,,,,,b7w3b1a7,,,b7q3e1b3a7,,,b7e3b1e3b1h3a7,,,b7e1b3e1k3a7,,,7
O0
9 6 e1b3,,,e3b1,,
I1
18 38 7,,,,,,,7k3d7,,,,,,,,,,,,7k1d7,,,7b3b1b3b1d7,,,7k3d7,,,7e3e1d7,,,7h3b1d7,,,7,,,
O1
6 9 1,,,3,,,b1b3,,
I2T
17 27 7,,,,,,,c7h3b17,,,c7e3b1b37,,,c7b3b1e37,,,c7b1h37,,,7,,,,,,,
O2T
None
I3T
23 33 7,,,d7b1h3e7,,,d7b3b1e3e7... | 333111
333111
333111
111333
111333
111333
111333
111333
111333 | {"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],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[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],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7... | 1 | dataset=solve_fractal group=fractal_to_pattern predict=rawpixels earlier_prediction=none image_width=other image_height=other task_pixels=d | |
SIMON-SOLVE-VERSION1 predict raw pixels for O2T | I0
18 14 0b3c030b3a0b3,03a0a3a0e3a0a3,0303c030b30a3a0,a3c0303a03a0c3,b0c3a03a0303a03,030a303a0c3a0a30,a303030303f03,a3a03a03a0a303a0a3,h303030c3,c30e30c303,0d30g3030,0i30d30,303a03030a3b0c3,b0d3c0e3
O0
18 7 92b9a2a9b2a929a2,92a9a2a929292b9a2,929a2b9292929b29,92e92a92a92929,2a9c2a929a292b9,g9b2a929a29,a9a2929a29a2d92
I1... | 229229229222922922222
222999992929299299229
929229999999299922992
992222222999222299992
922222229922292299299
222992222229292222229
992222922292992222929
929292922992229222299
992999222222299292992
292299299229299299222
229299922999922999999
222929929292299922922
292922229299992992929
292229292992292929229
922929999992... | {"train":[{"input":[[0,3,3,3,0,0,0,0,3,0,3,3,3,0,0,3,3,3],[0,3,0,0,3,3,0,0,3,3,3,3,3,3,0,0,3,3],[0,3,0,3,0,0,0,0,3,0,3,3,3,0,3,3,0,0],[3,3,0,0,0,0,3,0,3,0,0,3,0,0,3,3,3,3],[0,0,0,3,3,3,3,0,0,3,0,0,3,0,3,0,0,3],[0,3,0,3,3,0,3,0,0,3,3,3,3,0,0,3,3,0],[3,3,0,3,0,3,0,3,0,3,0,0,0,0,0,0,0,3],[3,3,0,0,3,0,0,3,0,0,3,3,0,3,0,0,3... | 0 | dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=large image_height=other task_pixels=d | |
Simon-Solve-V1 predict pixels for O5T | I0
8 5 7f9,9,93d98,9,
O0
8 5 73d98,9,,,
I1
5 8 391a9,9,,c90,,9,,
O1
5 8 39190,c90,9,,,,,
I2
4 3 9749,9,a979
O2
4 3 9749,a979,9
I3
9 8 c92c9,d96b9,9,,,,b90d9,e9895
O3
9 8 b9026895,9,,,,,,
I4T
6 3 694b9,8d9,96c9
O4T
None
I5T
8 5 9,b90c9,9,,0f9
O5T
None | 09909999
99999999
99999999
99999999
99999999 | {"train":[{"input":[[7,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9],[9,3,9,9,9,9,9,8],[9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9]],"output":[[7,3,9,9,9,9,9,8],[9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9]]},{"input":[[3,9,1,9,9],[9,9,9,9,9],[9,9,9,9,9],[9,9,9,9,0],[9,9,9,9,0],[9,9,9,9,9],[9,9,9,9,9],[9,9,9,9,9]],... | 1 | dataset=solve_gravity group=gravity_move_bottom_to_top predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
SIMONSOLVEVERSION1, O4T, predict pixels | I0
24 10 c43a43b4343b4a32a434,4a3438643434a3a46942c3,34b348a6a3b4a693432b4,a3a42a383d6a394a32b3,c342a38b3b69a4a324a3,a43a432368b4a3a63a4c3,4a34b3a248349c46a4343,34b343a424839b4a34b34,4a343a4a342383a434b3a43,434b34c3234343a43b43
O0
24 10 c38b6a3643496942b3a0,3423a43a63464a6934a3b40,434a234a3c6a394032b30,a4a3426a4c349a43... | 6622662229000
6662266229000
6666226622900
6666629662900
6666666666290
9999996966660
0000229999990
0000029000000
0000009000000
0000000000000
0000000000000
0000000000000
0000000000000
0000000000000 | {"train":[{"input":[[4,4,4,4,3,4,4,3,4,4,4,3,4,3,4,4,4,3,3,2,4,4,3,4],[4,3,3,4,3,8,6,4,3,4,3,4,3,3,4,4,6,9,4,2,3,3,3,3],[3,4,3,3,3,4,8,6,6,3,3,4,4,4,6,6,9,3,4,3,2,4,4,4],[3,3,4,4,2,3,3,8,3,6,6,6,6,6,3,3,9,4,3,3,2,3,3,3],[3,3,3,3,4,2,3,3,8,3,3,3,6,6,6,9,4,4,3,3,2,4,3,3],[4,4,3,4,4,3,2,3,6,8,4,4,4,3,3,6,6,3,4,4,3,3,3,3],... | 0 | dataset=solve_probecolor group=probecolor_bottomright predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c | |
simon-solve-v1 predict pixels for 'O2T' | I0
10 26 30303a06a0,3e0630,0b3b0630,b30b3639,a0a3030691,0303a09601,0a3a096313,3030906310,30a9036313,39b306313,2b0a361a0,23a0306130,230a306103,23a03061a3,23a0a36030,23a0a36303,20b361a03,323a0610a3,32303603a0,32b3630a3,02a306a303,028a36a3a0,0b31830a3,3b010a303,03a01303a0,3a030a30a3
O0
26 10 b09a130a3a0a30b30a30a303,0b390... | 01155101052101555555051
55555551511510555501505
01005121055505550555152
15552151511555555515120
51555511525155552255555
15505550150101501151252
10555001155551501515521
51555552500000000005555
00000000050555515551515
55515501155515150015550
50515052551511155505512
15105052550005115155021
55512051152525020255055
25525501... | {"train":[{"input":[[3,0,3,0,3,0,0,6,0,0],[3,0,0,0,0,0,0,6,3,0],[0,3,3,3,0,0,0,6,3,0],[3,3,3,0,3,3,3,6,3,9],[0,0,3,3,0,3,0,6,9,1],[0,3,0,3,0,0,9,6,0,1],[0,3,3,0,0,9,6,3,1,3],[3,0,3,0,9,0,6,3,1,0],[3,0,9,9,0,3,6,3,1,3],[3,9,3,3,3,0,6,3,1,3],[2,0,0,0,3,3,6,1,0,0],[2,3,0,0,3,0,6,1,3,0],[2,3,0,3,3,0,6,1,0,3],[2,3,0,0,3,0,6... | 0 | dataset=solve_rotate group=rotate_ccw predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d | |
simon-solve-v1, 'O4T', predict the pixels | I0
7 17 6,,,,,,,,60b4a6,640a4a6,6a404a6,6b40a6,6,,,,
O0
6 6 b4b0,,,b0b4,,
I1
20 16 6,,,,,g6b40g6,g6a404g6,g640a4g6,g60b4g6,6,,,,,,
O1
6 6 b0b4,,,b4b0,,
I2
15 18 6,,,,,b6g40b6,b6e4b0b6,b6h4b6,b6a40a40a40b6,b6h0b6,b6h4b6,,,,6,,,
O2
9 9 e0b4,,,4,,,0,,
I3
12 20 6,,,,,a6c0e6,a6c4e6,a60404e6,a6c4e6,,,a6a0a4e6,a6c4e6,a60b4e6,... | 000444
000444
000444
444000
444000
444000 | {"train":[{"input":[[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],[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],[6,0,4,4,4,6,6],[6,4,0,4,4,6,6],[6,4,4,0,4,6,6],[6,4,4,4,0,6,6],[6,6,6,6,6,6,6],[6,6,6,6,6,6,6],[6,6,6,6,6,6,6],[6,6,6,6,6,6,6],[6,6,6,6,6,6,6]],"output":[[4,4,4,0,0,0],[4,... | 0 | dataset=solve_fractal group=fractal_to_pattern predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
SIMON-SOLVE-V1 predict raw pixels for O4T | I0
8 9 5,,,54e5,e545,0f5,5,,
O0
8 9 7,,,,7d1a7,7,,,
I1
13 19 5,,2k5,5,,,,,,,,,,,g59c5,5,f54d5,51j5,5
O1
13 19 7,,,7f1d7,,,,,,,,,,,,,,7,
I2
8 20 5,f51,5,,,,,,,,,,,59e5,,5,,,,
O2
8 20 7,,a7d17,,,,,,,,,,,,7,,,,,
I3T
20 12 o547a5,5,n57c5,5,,,,,,,,
O3T
None
I4T
7 21 5,3e5,5,,,,,,,,,,,,,a59c5,5,,,a52c5,5
O4T
None | 7777777
7777777
7177777
7177777
7177777
7177777
7177777
7177777
7177777
7177777
7177777
7177777
7177777
7177777
7177777
7177777
7177777
7177777
7177777
7777777
7777777 | {"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],[5,4,5,5,5,5,5,5],[5,5,5,5,5,5,4,5],[0,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5]],"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],[7,1,1,1,1,1,7,7],[7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7],[... | 1 | dataset=solve_boundingbox group=boundingbox_of_lonely_pixels filled_inner predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=c | |
Simon-Solve-Version1 predict raw pixels for 'O4T' | I0
14 24 6,,,,,,,,,b69d8d6,b69i6,,,c69h6,,,c63h6,,c62h6,d62g6,e62f6,,f62e6,g62d6
O0
14 24 1,,,,,,,,,b1e6d1,b169d8c1,b16a9d8b1,b16b9d8a1,c16b9d81,c16c9d8,c16d9c8,c16e9b8,c163e9a8,c16a3e98,d16a3e9,e16a3d9,e162a3c9,f162a3b9,g162a3a9
I1
17 10 c92b96b93a969,3a96c9392396b9,9a3a9693963960b9,a93a293b93a90a96,a9636396963906a93,... | 1111111
1571511
1577655
1577766
1577776
1577777
1577777
1577777
1355577
1973355
1177333
1597733
1599773 | {"train":[{"input":[[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],[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],[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],[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],[6,6,6,6,6,6,6,6,6,6,6,6,6,6],[6,6,6,9,8,8,8,8,8,6,6,6,6,6],... | 0 | dataset=solve_probecolor group=probecolor_topleft predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=c | |
SIMONSOLVEVERSION1 predict raw pixels for 'O5T' | I0
9 12 0,,,,,,,,,g02,0,
O0
9 12 g23,,,,,,,,,g20,g23,
I1
11 10 0,,,,,,f02b0,0,,
O1
11 10 f2c3,,,,,,f20b3,f2c3,,
I2
10 5 0,,,,f02a0
O2
10 5 f2b3,,,,f20a3
I3
9 8 0,,,,,,,02f0
O3
9 8 2g3,,,,,,,20f3
I4T
5 5 0,,,,c02
O4T
None
I5T
9 10 0,,,,g02,0,,,,
O5T
None | 222222223
222222223
222222223
222222223
222222220
222222223
222222223
222222223
222222223
222222223 | {"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],[0,0,0,0,0,0,0,0,0],[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],[0,0,0,0,0,0,0,0,2],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]],"output":[[2,2,2,2,2,2,2,2,3],[2,2,2,2,2,2,2,2,3],[2,2,2,2,... | 1 | dataset=solve_halfplane group=halfplane_with_one_pixel_left predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b | |
SIMON-SOLVE-V1 predict pixels for O5T | I0
10 10 8,,,,,,,,,g838
O0
10 10 7,,,,,,,,,g696
I1
10 5 e83b8,8,,,
O1
10 5 e69b6,6,,,
I2
5 8 8,,,,,c83,8,
O2
5 8 7,,,,,c69,6,
I3
11 12 83h8,8,,,,,,,,,,
O3
11 12 69h6,6,,,,,,,,,,
I4T
9 6 8,,a83e8,8,,
O4T
None
I5T
6 8 8,,,,,,b83a8,8
O5T
None | 777777
777777
777777
777777
777777
777777
666966
666666 | {"train":[{"input":[[8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,3,8]],"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,... | 1 | dataset=solve_halfplane group=halfplane_with_one_pixel_top predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b | |
SIMONSOLVEVERSION1 predict raw pixels for O4T | I0
9 4 308380303,078c343,0738a3a04,3a4b0a30
O0
9 4 7b8a7878,787d87,e7a87,7
I1
11 9 a7a0a740b7,e74c7,b747474740,74c7a0470,0a7474074a7,a4c740b7,0c7a07474,b4b740470,40b74c74
O1
11 9 a8a7b87b8,8,b878787878,87e8787,d7a8c7,7,g78a7,b8b78c7,7
I2
11 4 a31c31b3,a3231c313,f32b3,2i3
O2
11 4 a87c87b8,a8787c878,7,
I3
7 10 7,b78b7,b7... | 788787877878778
777777888777777
777777777777777
777777777777777 | {"train":[{"input":[[3,0,8,3,8,0,3,0,3],[0,7,8,3,3,3,3,4,3],[0,7,3,8,3,3,0,0,4],[3,4,4,0,0,0,3,3,0]],"output":[[7,8,8,8,7,7,8,7,8],[7,8,7,8,8,8,8,8,7],[7,7,7,7,7,7,8,8,7],[7,7,7,7,7,7,7,7,7]]},{"input":[[7,7,0,0,7,7,4,0,7,7,7],[7,7,7,7,7,7,4,7,7,7,7],[7,7,7,4,7,4,7,4,7,4,0],[7,4,7,7,7,7,0,0,4,7,0],[0,7,7,4,7,4,0,7,4,7,... | 0 | dataset=solve_half group=half_bottom_all8 predict=rawpixels earlier_prediction=none image_width=medium image_height=small task_pixels=b | |
SIMONSOLVEVERSION1 predict raw pixels for 'O4T' | I0
11 6 3,,d32d3,3,d37d3,3
O0
11 6 b1d5b1,,,,,
I1
10 5 3,d38a373,3,,
O1
10 5 b1f5,b1a51a515,b1f5,,1
I2
14 15 3,,,b35i3,a35j3,3,,,,,,0l3,3,,
O2
14 15 1,1d5g1,e5g1,,,,d5h1,1,,b5j1,,1a5j1,b5j1,,1
I3
18 17 m34b3,3,,,,,k37d3,3,,,,,,,h30g3,e36j3,3
O3
18 17 k1a51a51,k1d51,,1,i1d5b1,,i1a51a5b1,i1d5b1,,1,,,f1d5e1,c1g5e1,c1d51a5... | 5555111111111111
5555111111111111
5155111111111111
5555551111111111
5555551111111111
1555555111111111
1555555111111111
1555555111111111
1155555111111111
1155555111111111 | {"train":[{"input":[[3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,2,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,7,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3]],"output":[[1,1,1,5,5,5,5,5,1,1,1],[1,1,1,5,5,5,5,5,1,1,1],[1,1,1,5,5,5,5,5,1,1,1],[1,1,1,5,5,5,5,5,1,1,1],[1,1,1,5,5,5,5,5,1,1,1],[1,1,1,5,5,5,5,5,1,1,1]]}... | 0 | dataset=solve_ray group=emit_rays_from_lonely_pixels predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=d | |
simon-solve-version1 predict raw pixels for O3T | I0
7 20 31a2a12,c2121,321a843,a121241,d241,32a1242,a131342,b3a142,313a142,c3143,12b124,b2a134,a2a1a24,a2a1314,212b34,b21a34,a2b124,a1c24,a3b123,31a2131
O0
20 7 3231231b31e21a3,1a21a21313c21a2131,a21a21c312a1a21212,a2812c13c13a1212,a18b23d12b312a1,12g42321a3b23,213a1c23g431
I1
20 2 41o041,41a4a14a1a4a1a7b147
O1
2 20 4,1... | 8888388383988333988988888888
8889899999999999999999999833
9338385999639838388986683838
8389353988999988888663888883
9883958899833899966888838883
8898583893338336699983838898
8888539339836663888399398398
9985333338668888898893839838
3383383366999888883888839388
8388836683338838838988888389
8398663893389883898889889933
9... | {"train":[{"input":[[3,1,2,2,1,1,2],[2,2,2,2,1,2,1],[3,2,1,8,8,4,3],[1,1,2,1,2,4,1],[2,2,2,2,2,4,1],[3,2,1,1,2,4,2],[1,1,3,1,3,4,2],[3,3,3,1,1,4,2],[3,1,3,1,1,4,2],[3,3,3,3,1,4,3],[1,2,1,1,1,2,4],[2,2,2,1,1,3,4],[2,2,1,1,2,2,4],[2,2,1,1,3,1,4],[2,1,2,3,3,3,4],[2,2,2,1,3,3,4],[2,2,1,1,1,2,4],[1,1,2,2,2,2,4],[3,3,1,1,1,2... | 0 | dataset=solve_rotate group=flipa predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c | |
SIMON-SOLVE-VERSION1 predict raw pixels for O5T | I0
15 5 696b9a6b968a9,692d96b7969,892869a57906986,e986a5096a9,b6a9e28686
O0
15 5 862862a96b79a6,869862a5790a686,96b9286a5296a9,b6a4e28486,4
I1
8 21 151a6251,c21b2,2a1a5a16,5a2526a2,b161b6,6b2a152,52161b2,c12612,a19152a1,a159a126,b19a651,b169a56,15a21915,16518291,a1a21a85,1215a128,256a1561,26216121,c12151,6a1a51a2,6c151... | 668
668
608
888
388
008
008
010
010
014
014
444
444 | {"train":[{"input":[[6,9,6,9,9,9,6,6,9,9,9,6,8,9,9],[6,9,2,9,9,9,9,9,6,7,7,7,9,6,9],[8,9,2,8,6,9,5,5,7,9,0,6,9,8,6],[9,9,9,9,9,9,8,6,5,5,0,9,6,9,9],[6,6,6,9,9,2,2,2,2,2,2,8,6,8,6]],"output":[[8,6,2,8,6,2,9,9,6,7,7,7,9,6,6],[8,6,9,8,6,2,5,5,7,9,0,6,6,8,6],[9,6,9,9,9,2,8,6,5,5,2,9,6,9,9],[6,6,6,4,4,2,2,2,2,2,2,8,4,8,6],[... | 1 | dataset=solve_probecolor group=probecolor_bottom predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=c | |
simonsolveversion1 predict raw pixels for 'O4T' | I0
10 22 9,,,,,,,,,e94b9,9,,,,,96g9,b96e9,9,,,,
O0
10 22 0,,,,,,,,,0e5b0,,,,,,,,0,,,,
I1
15 7 m90,c96i9,9,,a95i949,9,d93h9
O1
15 7 a0l5,,,,,,
I2
11 6 h979,a98g9,h909,9,,
O2
11 6 a0g50,,,0,,
I3T
12 11 9,a92h9,9,a2i9,9,,,g98b9,9,,
O3T
None
I4T
16 16 9,,,i93d9,9,,,,,,b9391i9,m919,9,,,n91
O4T
None | 0000000000000000
0000000000000000
0000000000000000
0005555555555555
0005555555555555
0005555555555555
0005555555555555
0005555555555555
0005555555555555
0005555555555555
0005555555555555
0005555555555555
0005555555555555
0005555555555555
0005555555555555
0005555555555555 | {"train":[{"input":[[9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,4,9,9,9],[9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9... | 1 | dataset=solve_boundingbox group=boundingbox_of_lonely_pixels filled predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=c | |
Simon-Solve-V1 predict raw pixels for O4T | I0
11 10 7,,,,,,,,,
O0
11 10 d5e7,,,,,,,,,
I1
5 13 728a5,b2a8,85b8,58252,58a78,8a582,57825,c52,a5257,2b57,c82,a8725,2a8a2
O1
5 13 b757,5c7,a5b7,,b5a7,a5b7,57a57,a5b7,,75b7,a5b7,a5757,75757
I2
10 4 9a69659a29,b9a252a19,9a2a7a1269,d96a9a8
O2
10 4 a5g7,a5c75b7,c57a5b7,a5c75757
I3
5 5 6,62616,64216,a62a6,6
O3
5 5 a5b7,,5c7... | 755755557777
557555775777
555577777777
757575777577
555555777577
577575755777
557555777777
777555555777
555555577777
555555757777 | {"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],[7,7,7,7,7,7,7,7,7,7,7],[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]],"output":[[5,5,5,5,5,7,7,7,7,7,7],[5,5,5,5,5,7,7,7,7,7,7],[... | 0 | dataset=solve_half group=half_right_all8 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
simonsolvev1 'O4T' predict the pixels | I0
6 6 3d2,b1817,7138a7,a7b17,781817,781a71
O0
6 6 5,c656,a6a5a6,a6c5,56c5,5
I1
7 15 b42474,a74a2a4,d1a4,2424174,24297a4,2729274,70219a4,a7019a4,4710797,4710292,a717079,a71a709,4742a47,4c747,a4a7b4
O1
7 15 d656,d5a6,6,b6a5a6,a5a6b5,5656b5,a65a6a5,d6a5,c6b5,56d5,b56565,5,6b5b6,5,
I2
13 9 8181f878,c8186a86b8,1b81817b878,... | 5555555665555
5566666666666
5555666566566
5556555656555
6556655555565
5555555555555
5555555555555 | {"train":[{"input":[[3,2,2,2,2,2],[1,1,1,8,1,7],[7,1,3,8,7,7],[7,7,1,1,1,7],[7,8,1,8,1,7],[7,8,1,7,7,1]],"output":[[5,5,5,5,5,5],[6,6,6,6,5,6],[6,6,5,5,6,6],[6,6,5,5,5,5],[5,6,5,5,5,5],[5,5,5,5,5,5]]},{"input":[[4,4,4,2,4,7,4],[7,7,4,2,2,4,4],[1,1,1,1,1,4,4],[2,4,2,4,1,7,4],[2,4,2,9,7,4,4],[2,7,2,9,2,7,4],[7,0,2,1,9,4,... | 0 | dataset=solve_half group=half_bottom_all8 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
simonsolveversion1, O3T, predict raw pixels | I0
19 5 q87,q83,m8c73,e8g7c83,a8f7h13
O0
19 5 e5k78,d5m7,c5i71c8,b5b7c5h1,5
I1
16 21 9a4a949a49a46069,46a4940a4a9a6090,b46a46949040606,0604b96a9c490,49340b4a046a096,a493694b9064649,4643494096964694,b9634094906c4,b4630490a964049,906903a4649694a9,b4943a404a6a909,9494943a6469b40,0b4a943a06a49a4,a4b6a936460a9a4,4a649a49396... | 555636063
553333000
566663006
555666006
555333063
556366003
553633063
536366063
556553065
565563555
555555555 | {"train":[{"input":[[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,7],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,3],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,7,7,7,7,3],[8,8,8,8,8,8,7,7,7,7,7,7,7,7,8,8,8,8,3],[8,8,7,7,7,7,7,7,7,1,1,1,1,1,1,1,1,1,3]],"output":[[5,5,5,5,5,5,7,7,7,7,7,7,7,7,7,7,7,7,8],[5,5,5,5,5,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[5,5,5,5,... | 0 | dataset=solve_probecolor group=probecolor_bottomleft predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=c | |
simon-solve-version1 predict raw pixels for O3T | I0
8 11 e818,8,,,,,,,c80b8,8,
O0
8 11 e846,e8a6,,,d8b6,,,,c84b6,c8c6,
I1
6 11 8,,,,,,1c80,8,,,
O1
6 11 6,,,,,,4c64,8,,,
I2
10 7 8,,81g8,8,,,0h8
O2
10 7 a8g6,,84g6,8h6,,,4h6
I3T
12 7 8,1j8,j80,8,,,
O3T
None | 666666666666
466666666666
888888888884
888888888888
888888888888
888888888888
888888888888 | {"train":[{"input":[[8,8,8,8,8,8,1,8],[8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8],[8,8,8,8,0,8,8,8],[8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8]],"output":[[8,8,8,8,8,8,4,6],[8,8,8,8,8,8,6,6],[8,8,8,8,8,8,6,6],[8,8,8,8,8,8,6,6],[8,8,8,8,8,6,6,6],[... | 0 | dataset=solve_halfplane group=halfplane_with_two_pixels predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b | |
simonsolvev1 'O4T' predict the raw pixels | I0
8 7 e373,3,,,,,
O0
8 7 e692,d6b2,c6c2,b6d2,a6e2,6f2,2
I1
7 8 c37a3,3,,,,,,
O1
7 8 c69a2,b6c2,a6d2,6e2,2,,,
I2
11 12 3,,,,,c37e3,3,,,,,
O2
11 12 h6a2,g6b2,f6c2,e6d2,d6e2,c69e2,b6g2,a6h2,6i2,2,,
I3
12 6 d37e3,3,,,,
O3
12 6 d69e2,c6g2,b6h2,a6i2,6j2,2
I4T
9 6 3,,7g3,3,,
O4T
None | 662222222
622222222
922222222
222222222
222222222
222222222 | {"train":[{"input":[[3,3,3,3,3,3,7,3],[3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3]],"output":[[6,6,6,6,6,6,9,2],[6,6,6,6,6,2,2,2],[6,6,6,6,2,2,2,2],[6,6,6,2,2,2,2,2],[6,6,2,2,2,2,2,2],[6,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2]]},{"input":[[3,3,3,3,7,3,3],[3,3,3,3,... | 0 | dataset=solve_halfplane group=halfplane_with_one_pixel_topleft predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b | |
simonsolvev1, 'O5T', predict the raw pixels | I0
6 4 d95,b9a59,a950a9,9
O0
6 4 2,b2a52,5,
I1
7 8 b51b5,b514a5,351a545,351c5,,531c5,53d5,
O1
7 8 2,,d252,a25c2,2e5,5,,
I2
6 11 a7c9,d97,a9a7a9,a97979,a979a7,9,97b97,d97,7d9,,c7a9
O2
6 11 a5c2,d25,2,a25252,a252a5,5,d52,5,2d5,5,
I3
12 14 9272d9a29,a2i9,929a7c9729,2a9a2c92a9,2d9797b9,97a9a2a98b9,a9a29b28a92,9a297b9a8a9,2... | 22222222
22222222
22222222
22222222
22222222
55255555
55555555
55555555
55555555
55555555 | {"train":[{"input":[[9,9,9,9,9,5],[9,9,9,5,5,9],[9,9,5,0,9,9],[9,9,9,9,9,9]],"output":[[2,2,2,2,2,2],[2,2,2,5,5,2],[5,5,5,5,5,5],[5,5,5,5,5,5]]},{"input":[[5,5,5,1,5,5,5],[5,5,5,1,4,5,5],[3,5,1,5,5,4,5],[3,5,1,5,5,5,5],[3,5,1,5,5,5,5],[5,3,1,5,5,5,5],[5,3,5,5,5,5,5],[5,3,5,5,5,5,5]],"output":[[2,2,2,2,2,2,2],[2,2,2,2,2... | 0 | dataset=solve_half group=half_bottom_all8 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b | |
SIMONSOLVEVERSION1 predict pixels for O5T | I0
6 7 9,,,,,,92c9
O0
6 7 6,,d60,c6a0,b6b0,a6c0,63c0
I1
12 5 9,,,g92b9,9
O1
12 5 j60,i6a0,h6b0,g63b0,f6d0
I2
8 5 9,e929,9,,
O2
8 5 f60,e630,d6b0,c6c0,b6d0
I3
8 11 9,,,,,,,,,2f9,9
O3
8 11 6,,f60,e6a0,d6b0,c6c0,b6d0,a6e0,6f0,3f0,0
I4T
12 6 92i9,9,,,,
O4T
None
I5T
11 12 9,,e92c9,9,,,,,,,,
O5T
None | 66666666000
66666660000
66666630000
66666000000
66660000000
66600000000
66000000000
60000000000
00000000000
00000000000
00000000000
00000000000 | {"train":[{"input":[[9,9,9,9,9,9],[9,9,9,9,9,9],[9,9,9,9,9,9],[9,9,9,9,9,9],[9,9,9,9,9,9],[9,9,9,9,9,9],[9,2,9,9,9,9]],"output":[[6,6,6,6,6,6],[6,6,6,6,6,6],[6,6,6,6,6,0],[6,6,6,6,0,0],[6,6,6,0,0,0],[6,6,0,0,0,0],[6,3,0,0,0,0]]},{"input":[[9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9],[9,... | 1 | dataset=solve_halfplane group=halfplane_with_one_pixel_topleft predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b | |
simon-solve-version1 predict pixels for O3T | I0
29 17 e16d36e36e0636,6,e06d36e36e1636,,,,,6,e36d16e36e0616,,6,e36d36e3g606,,,,,
O0
5 4 1a303,0a313,31301,b360
I1
20 13 06e46e56b86,,,6,9g6e56b56,,,6,56e96e56b56,,,,
O1
4 3 0458,96a5,59a5
I2
10 25 c16c16,,,,6,c76c76,,,6,c76c76,,6,c86c76,6,c36c36,,,,6,c76c36,,,,,
O2
2 6 1,7,,87,3,73
I3T
12 26 a8656e56,,,,,,6,a9656e96,... | 855
959
999
993
399
997 | {"train":[{"input":[[1,1,1,1,1,1,6,3,3,3,3,3,6,3,3,3,3,3,3,6,0,0,0,0,0,0,6,3,6],[6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6],[0,0,0,0,0,0,6,3,3,3,3,3,6,3,3,3,3,3,3,6,1,1,1,1,1,1,6,3,6],[0,0,0,0,0,0,6,3,3,3,3,3,6,3,3,3,3,3,3,6,1,1,1,1,1,1,6,3,6],[0,0,0,0,0,0,6,3,3,3,3,3,6,3,3,3,3,3,3,6,1,1,1,1,1,1,6,3,6],... | 0 | dataset=solve_grid group=extract_content_from_grid_original predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c | |
SIMON-SOLVE-VERSION1 predict raw pixels for 'O4T' | I0
14 8 1,7a4d7b4b7,c7a4a7a47a47,b4a7a4f7,b74c7e4,74747b4c7a4,4g74a7a4,c2a121b2121
O0
14 8 c1a717b1714,7a47a171b4171,g7a4a747,b47b4c74a7,b7474a7b4747,7474a74c7b4,4c747474a7a4,c2a121b2121
I1
22 16 1,b74a74b7b4b7b4b7,b4a74a7a47a4a747474a7,b747474a7a47474747a47,a474b7a47474a74a74b7,a74a7b4b74a747474747,47a4b74a747474c74a7... | 117111717117771
471777171471117
747474747777777
777477447474447
477747777744747
774747447477774
744447474774447
747474477777777
777774744474447
474777774447777
774474747444447
777747474774447
744747774744447
774477474777747
747474447474447
747474747777777
747477477477447
777774744774477
747444447447747
774777747774744
... | {"train":[{"input":[[1,1,1,1,1,1,1,1,1,1,1,1,1,1],[7,4,4,7,7,7,7,7,4,4,4,7,7,7],[7,7,7,7,4,4,7,7,4,4,7,4,4,7],[4,4,4,7,7,4,4,7,7,7,7,7,7,7],[7,7,7,4,7,7,7,7,4,4,4,4,4,4],[7,4,7,4,7,4,4,4,7,7,7,7,4,4],[4,7,7,7,7,7,7,7,7,4,7,7,4,4],[2,2,2,2,1,1,2,1,2,2,2,1,2,1]],"output":[[1,1,1,1,7,7,1,7,1,1,1,7,1,4],[7,4,4,7,1,1,7,1,4,... | 1 | dataset=solve_deform group=deform_line rotate_1 displacement_1 predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d | |
SIMON-SOLVE-V1, O3T, predict pixels | I0
18 22 1a8m05,108a080b80a808a01,1080a80808a0808085,10a8b080c808081,1d08b08b0a801,10a80a80a8a080a801,18b0a8c0e85,10808a0b80d805,1080808c08b0805,1b08080a8b0b805,1a80808080b8c01,1a0a80808b08a0801,1d08a08a08a0805,1a8a08a08080a8a085,1a8080b8b0c805,18e080b8c05,1b0a80a808b0a801,1a08d080b8b05,180e808a080805,18e080c80801,18a0... | 1888000000000000005
1008008088880808005
0008080800080080811
0808080800880080011
0888080088088000011
8000888880008088011
1888000000808000005
1800888800008808005
0000000880800088011
8088880008008008011
1800000080008880805
1088880880880800805
1000080008000080805
1080808880888080805
0808808000080008011
1000800800880888805
... | {"train":[{"input":[[1,8,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5],[1,0,8,0,0,8,0,8,8,8,0,8,8,0,8,0,0,1],[1,0,8,0,8,8,0,8,0,8,0,0,8,0,8,0,8,5],[1,0,8,8,0,0,0,8,0,8,8,8,8,0,8,0,8,1],[1,0,0,0,0,0,8,0,0,0,8,0,0,0,8,8,0,1],[1,0,8,8,0,8,8,0,8,8,0,0,8,0,8,8,0,1],[1,8,0,0,0,8,8,0,0,0,0,8,8,8,8,8,8,5],[1,0,8,0,8,0,0,8,8,8,0,8,8,8,8,8,0... | 0 | dataset=solve_deform group=deform_line rotate_2 displacement_-1 predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=d | |
simon-solve-version1 predict raw pixels for O5T | I0
8 11 8,d87a8,8,,,,,,89e8,8,d86a8
O0
8 11 1,1d4a1,,,,,,,,,
I1
21 18 8,f85l8,8,k82c87b8,8,,f82l8,8,,,,,,,,,,
O1
21 18 1,f1j4b1,,,,,,1,,,,,,,,,,
I2
9 20 a89e8,8,,,,,e81a8,8,,,,,,,,,a83e8,8,,
O2
9 20 a1d4a1,,,,,,,,,,,,,,,,,1,,
I3
12 13 b82e818,8,,,,,,,,,j81,8,f85c8
O3
12 13 b1h4,,,,,,,,,,,,
I4T
3 15 8,898,8,,,,,,,,a86,8... | 1111111111111111111111
1111111111111111111111
1111111111111111111111
1111111111111111111111
1111111111111111111111
1111444444444444444111
1111444444444444444111
1111444444444444444111
1111444444444444444111
1111444444444444444111
1111444444444444444111
1111444444444444444111
1111444444444444444111
111111111111111111111... | {"train":[{"input":[[8,8,8,8,8,8,8,8],[8,8,8,8,8,7,8,8],[8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8],[8,9,8,8,8,8,8,8],[8,8,8,8,8,8,8,8],[8,8,8,8,8,6,8,8]],"output":[[1,1,1,1,1,1,1,1],[1,4,4,4,4,4,1,1],[1,4,4,4,4,4,1,1],[1,4,4,4,4,4,1,1],[1,4,4,4,4,4,1,1],[... | 1 | dataset=solve_boundingbox group=boundingbox_of_lonely_pixels filled predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=d | |
SIMONSOLVEVERSION1, O5T, predict pixels | I0
2 17 8,35,45,5,45,85,5,85,45,85,,,95,,45,,
O0
2 17 45,,,95,,85,,,45,85,5,85,45,5,45,35,8
I1
17 14 1691c9191c919,9a6a919a1a391c9,9a6a1a9a34f9,96969a3a419a1c9,161a3941a9b1b91,9a3164b91f9,369149a191c91a9,96a496b91a91c9,941a96a10b91c9,4191a060191a91919,1b0a96a91d9a1,91a91a96g91,91c91h91,1g919a1c9
O1
17 14 1g919a1c9,91c9... | 882888828
988888828
981188881
098812881
092288888
089888888
189888888
168988821
168988888
016192888
011698882
011269188
081869182
081826918
088188682
088182868
088818268
081281286
010081811
001811128 | {"train":[{"input":[[8,8],[3,5],[4,5],[5,5],[4,5],[8,5],[5,5],[8,5],[4,5],[8,5],[8,5],[8,5],[9,5],[9,5],[4,5],[4,5],[4,5]],"output":[[4,5],[4,5],[4,5],[9,5],[9,5],[8,5],[8,5],[8,5],[4,5],[8,5],[5,5],[8,5],[4,5],[5,5],[4,5],[3,5],[8,8]]},{"input":[[1,6,9,1,9,9,9,9,1,9,1,9,9,9,9,1,9],[9,6,6,9,9,1,9,1,1,3,3,9,1,9,9,9,9],[... | 1 | dataset=solve_rotate group=flipy predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
SIMONSOLVEV1 predict raw pixels for O2T | I0
17 4 9a4a64a6a047464a1,67j8a149,04d76b1a60646,6a757a51a6a4b606
O0
17 4 8,,j8a686a8,k8b6a8
I1
22 24 478646b48c46a4a2474,487874746876476a2a47a4,64a74a78a486b2c4764,6746a468a4a28c46a746,a467b4b2b48646a7464,67464a2864a686a467a484,464827a46764a6a478a474,64a8a46464646a4a7b476,7a8a484a64686a74764647,a8a46a474676a47a4648a7,... | 888888866866
888888888686
888888888888
888888888888
888888888888
888888888888
888888888888
888888888888
888888888888
888888888888
888888888888
888888888888
888888888888
888888888888
888888888888
888888888888
888888888888
888888866888
888888866868
888888888688 | {"train":[{"input":[[9,4,4,6,6,4,6,6,0,0,4,7,4,6,4,1,1],[6,7,8,8,8,8,8,8,8,8,8,8,8,1,1,4,9],[0,4,7,7,7,7,7,6,1,1,1,6,6,0,6,4,6],[6,7,7,5,7,5,5,1,6,6,4,4,6,6,6,0,6]],"output":[[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,6,6,8,6,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,6,6,6,8,8]]}... | 0 | dataset=solve_mass group=mass6_all8 predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c | |
Simon-Solve-V1, 'O5T', predict the pixels | I0
10 6 47a47b472,c6b4a27,c46a2b4,b402d4,a4a7e4,b4747c4
O0
10 6 a5a0c505,a0a50d5,c05a0b5,b050d5,,
I1
15 13 9a6b96c96a96,96a9a69b6a9b6,9d696a969b6,69696d96b96,9b69a69696c9,a9b696b96a969,6c96a9c69a6,69e6d9a6,d9e6a969,696c9d69a6,969a6b96a9a6a9,69a69b6a969a69,969c6a9a6a969
O1
15 13 f0c50b5,f0d50a5,,f0g5,,,5e0g5,,f0g5,,,,
I... | 0005555
0005555
5005555
0055555
5005555
0005555
0005555
0005555
0005555
0005555
0005555
0005555
0005555
0505555 | {"train":[{"input":[[4,7,4,4,7,4,4,4,7,2],[6,6,6,6,4,4,4,2,2,7],[4,4,4,4,6,2,2,4,4,4],[4,4,4,0,2,4,4,4,4,4],[4,4,7,7,4,4,4,4,4,4],[4,4,4,7,4,7,4,4,4,4]],"output":[[5,5,0,0,5,5,5,5,0,5],[0,0,5,5,0,5,5,5,5,5],[0,0,0,0,5,0,0,5,5,5],[0,0,0,5,0,5,5,5,5,5],[0,0,0,5,0,5,5,5,5,5],[0,0,0,5,0,5,5,5,5,5]]},{"input":[[9,6,6,9,9,9,... | 1 | dataset=solve_half group=half_right_all8 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
Simon-Solve-Version1 'O3T' predict the pixels | I0
4 6 3b7,7,,,7478,7
O0
4 6 3b7,,,,3478,
I1
4 8 0b7,7,b72,7,,,,74a7
O1
4 8 0b7,,0a72,,,,,0472
I2
9 5 7,,a72c727,d72b7,7
O2
9 5 7,,a72c727,a72a72727,
I3T
8 9 73e7,7,,,,,,a74d7,7
O3T
None
I4T
6 8 a78b7,7,d74,7,c717,b71a7,7,a75b7
O4T
None | 73777777
73777777
73777777
73777777
73777777
73777777
73777777
73477777
73477777 | {"train":[{"input":[[3,7,7,7],[7,7,7,7],[7,7,7,7],[7,7,7,7],[7,4,7,8],[7,7,7,7]],"output":[[3,7,7,7],[3,7,7,7],[3,7,7,7],[3,7,7,7],[3,4,7,8],[3,4,7,8]]},{"input":[[0,7,7,7],[7,7,7,7],[7,7,7,2],[7,7,7,7],[7,7,7,7],[7,7,7,7],[7,7,7,7],[7,4,7,7]],"output":[[0,7,7,7],[0,7,7,7],[0,7,7,2],[0,7,7,2],[0,7,7,2],[0,7,7,2],[0,7,7... | 0 | dataset=solve_gravity group=gravity_draw_top_to_bottom predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
SIMON-SOLVE-V1, 'O4T', predict the raw pixels | I0
7 11 9,c93a9,9,,,,94d9,9,,,
O0
7 11 d7a3,c70a3,c7b3,b7c3,,a7d3,70d3,7e3,3,,
I1
7 9 9,,,,d949,9,3e9,9,
O1
7 9 3,,,,d307,b3c7,0e7,7,
I2
8 7 f94,9,,,,3f9,9
O2
8 7 f30,e3a7,d3b7,b3d7,a3e7,0f7,7
I3T
5 5 9,4c9,3c9,9,
O3T
None
I4T
5 9 c93,9,,,,,a94a9,9,
O4T
None | 77770
77773
77773
77733
77733
77733
77033
77333
77333 | {"train":[{"input":[[9,9,9,9,9,9,9],[9,9,9,9,3,9,9],[9,9,9,9,9,9,9],[9,9,9,9,9,9,9],[9,9,9,9,9,9,9],[9,9,9,9,9,9,9],[9,4,9,9,9,9,9],[9,9,9,9,9,9,9],[9,9,9,9,9,9,9],[9,9,9,9,9,9,9],[9,9,9,9,9,9,9]],"output":[[7,7,7,7,7,3,3],[7,7,7,7,0,3,3],[7,7,7,7,3,3,3],[7,7,7,3,3,3,3],[7,7,7,3,3,3,3],[7,7,3,3,3,3,3],[7,0,3,3,3,3,3],[... | 1 | dataset=solve_halfplane group=halfplane_with_two_pixels predict=rawpixels earlier_prediction=none image_width=small image_height=medium task_pixels=b | |
SIMON-SOLVE-V1 predict raw pixels for 'O4T' | I0
34 17 3,,a3b2a3c0a3e4a3a4a3c4a34a3,,,,,,3,,a3b2a3c4a3e4a3a4a3c5a35a3,,3,,a3b5a3c5a3e4e3c5a35a3,,
O0
6 3 20c4,2b4a5,a543a5
I1
34 13 3,,a3c7a3d7a37a3e7a3e7a3,,,3,,a3c1a3d7a37i3e7a3,,3,,a3c7a3d1a37a3e1a3e7a3,
O1
5 3 7,1a737,71717
I2
36 12 3,,a3a6a3d6a3c6a3a6a3d6a3c6a3,,,3,,a3a6a3d6a3c6a3a6a3d6a3c6a3,,3,,a3a6a3d6g3a7a3d... | 787473
787877 | {"train":[{"input":[[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,2,2,2,3,3,0,0,0,0,3,3,4,4,4,4,4,4,3,3,4,4,3,3,4,4,4,4,3,3,4,3,3],[3,3,2,2,2,3,3,0,0,0,0,3,3,4,4,4,4,4,4,3,3,4,4,3,3,4,4,4,4,3,3,4,3,3],[3,3,2,2,2,3,3,0,0,0... | 0 | dataset=solve_grid group=extract_content_from_grid_original predict=rawpixels earlier_prediction=none image_width=other image_height=large task_pixels=d |
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.
Version 190
Generated data.
Version 191
Generated data.
Version 192
Generated data.
Version 193
Generated data.
Version 194
Generated data.
Version 195
Generated data.
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