instruction stringclasses 218
values | input stringlengths 78 950 | output stringlengths 5 292 | arc_task stringlengths 233 24.6k | test_index int64 0 1 | earlier_output stringlengths 0 2.95k | benchmark stringlengths 117 204 |
|---|---|---|---|---|---|---|
simon-solve-v1 predict image for O4T | I0
3 5 1,,,,
O0
3 5 2,212,,,2
I1
6 4 0,a5b35,5c35,5d3
O1
6 4 2,,b21a2,2
I2
4 10 6,b18,2a86,8b6,2b6,,,,,6
O2
4 10 2,,,,a212,,,,,2
I3
10 6 3f494,9a3e49,9a4a3d4,d43c4,a9a4a9a3a4,94949b434
O3
10 6 2,e21b2,f21a2,2,,
I4T
6 3 1,0d1,1
O4T
6 3 2,a2b12,2 | 6 3 2,a2b12,2 | {"train":[{"input":[[1,1,1],[1,1,1],[1,1,1],[1,1,1],[1,1,1]],"output":[[2,2,2],[2,1,2],[2,1,2],[2,1,2],[2,2,2]]},{"input":[[0,0,0,0,0,0],[5,5,3,3,3,5],[5,3,3,3,3,5],[5,3,3,3,3,3]],"output":[[2,2,2,2,2,2],[2,2,2,2,2,2],[2,2,2,1,2,2],[2,2,2,2,2,2]]},{"input":[[6,6,6,6],[1,1,1,8],[2,8,8,6],[8,6,6,6],[2,6,6,6],[2,6,6,6],[2... | 0 | [[2,2,2,2,2,2],[2,2,1,1,1,2],[2,2,2,2,2,2]] | dataset=solve_outline group=outline_all8 predict=image earlier_prediction=output_distort_1steps_10percent image_width=small image_height=small task_pixels=a |
Simon-Solve-Version1 predict image for O3T | I0
11 7 8a728e3,3a8498d3,a3a4898c3,b3569a8b3,c389b8a3,d369b83,e3d8
O0
5 7 8a728,a8498,a4898,569a8,89b8,69b8,8
I1
8 4 0b10b3,397931a3,a373b73,b39b70
O1
5 4 0b10,97931,73b7,9b70
I2
6 6 0d3,39c3,a39b3,b37a3,c343,d34
O2
1 6 0,9,,7,4,
I3T
3 2 723,372
O3T
3 2 723,372 | 2 2 72, | {"train":[{"input":[[8,7,7,2,8,3,3,3,3,3,3],[3,8,8,4,9,8,3,3,3,3,3],[3,3,4,4,8,9,8,3,3,3,3],[3,3,3,5,6,9,8,8,3,3,3],[3,3,3,3,8,9,8,8,8,3,3],[3,3,3,3,3,6,9,8,8,8,3],[3,3,3,3,3,3,8,8,8,8,8]],"output":[[8,7,7,2,8],[8,8,4,9,8],[4,4,8,9,8],[5,6,9,8,8],[8,9,8,8,8],[6,9,8,8,8],[8,8,8,8,8]]},{"input":[[0,1,1,1,0,3,3,3],[3,9,7,... | 0 | [[7,2,3],[3,7,2]] | dataset=solve_skew group=unskew_right predict=image earlier_prediction=input_distort_1steps_10percent image_width=medium image_height=small task_pixels=a |
Simon-Solve-V1, O3T, predict image | I0
11 11 4,,b40f4,,,a40g4,,,,4,
O0
4 4 4,a404,40a4,4
I1
11 7 8,b8a7e8,d8a7c8,8,,,
O1
4 4 8,87a8,a878,8
I2
2 12 3,,,43,3,,,,,,,34
O2
2 4 3,43,3,34
I3T
11 12 6,,,d6a3c6,d6368b6,a6a0a68c6,c6a08c6,d683c6,d68d6,c68e6,,b68f6
O3T
8 9 6,c6a3a6,c63686,6b068a6,c608a6,c683a6,c68b6,,a68d6
I4T
4 10 5,9b5,,50a5,,,0b5,,,5
O4T
None | 8 9 6,c6a3a6,c63686,6a0a68a6,b6a08a6,c683a6,c68b6,b68c6,a68d6 | {"train":[{"input":[[4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4],[4,4,4,0,4,4,4,4,4,4,4],[4,4,4,0,4,4,4,4,4,4,4],[4,4,4,0,4,4,4,4,4,4,4],[4,4,0,4,4,4,4,4,4,4,4],[4,4,0,4,4,4,4,4,4,4,4],[4,4,0,4,4,4,4,4,4,4,4],[4,4,0,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4]],"output":[[4,4,4,4],[4,4,0,4],[4,0,... | 0 | [[6,6,6,6,6,6,6,6],[6,6,6,6,3,3,6,6],[6,6,6,6,3,6,8,6],[6,0,0,0,6,8,6,6],[6,6,6,6,0,8,6,6],[6,6,6,6,8,3,6,6],[6,6,6,6,8,6,6,6],[6,6,6,6,8,6,6,6],[6,6,8,6,6,6,6,6]] | dataset=solve_compress group=compressxy predict=image earlier_prediction=output_distort_1steps_10percent image_width=medium image_height=medium task_pixels=b |
simon-solve-version1 predict image for O4T | I0
23 10 a9b5a9b0a9c0a9d0,,,9,,a9b5a9b5a9c5f9,,,9,
O0
4 2 5b0,b59
I1
17 24 a9b4a9b4a9d4,,,,9,,a9b1a9b1a9d4,,,,,9,,a9b2a9b5a9d1,,,,,,9,,a9b2a9b0a9d4,9,
O1
3 4 4,a14,251,204
I2
9 21 a9a7a9b3,,9,,a9a4a9b1,,9,,a9a4a9b1,9,,a9a3a9b6,,,,,9,,a9a4a9b6,9,
O2
2 5 73,41,,36,46
I3
21 17 a90a9b5a9c0a9d2,,,,,9,,d9b4a9c6a9d6,,9,,a96a9... | 4 5 0,,,,09a0 | {"train":[{"input":[[9,9,5,5,5,9,9,0,0,0,9,9,0,0,0,0,9,9,0,0,0,0,0],[9,9,5,5,5,9,9,0,0,0,9,9,0,0,0,0,9,9,0,0,0,0,0],[9,9,5,5,5,9,9,0,0,0,9,9,0,0,0,0,9,9,0,0,0,0,0],[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],[9,9,5,5,5,9,9,5,5,5,9,9,5,5,5,5,9,9,9,9,9,9,9],[9,9,5,5,5,9... | 0 | dataset=solve_grid group=extract_content_from_grid_original predict=image earlier_prediction=none image_width=large image_height=other task_pixels=c | |
SIMONSOLVEVERSION1 'O3T' predict the image | I0
13 15 9,a93i9,b93b1939a39,c9b1e9,b93b1e9,a939b1e9,b93b1e9,a939b193c9,a939b13b9a3,c0b1e0,0,,,,9
O0
13 15 9,a93i9,b93b1939a39,c9b1e9,b93b1e9,a939b1e9,b93b1e9,a939b193c9,a939b13b9a3,0,,,,,9
I1
8 11 9e03,9e09,,,9e03,3e09,9b0a103,9e03,9e09,,9e03
O1
8 11 9e03,9e09,,,9e03,3e09,9e03,,9e09,,9e03
I2T
11 12 c3a91c9,e01c0,,,,,c... | 11 7 a9d193a9,h0a9,,,,, | {"train":[{"input":[[9,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,3,9,9,9,9,9,9,9,9,9,9],[9,9,9,3,1,1,1,9,3,9,3,3,9],[9,9,9,9,1,1,1,9,9,9,9,9,9],[9,9,9,3,1,1,1,9,9,9,9,9,9],[9,9,3,9,1,1,1,9,9,9,9,9,9],[9,9,9,3,1,1,1,9,9,9,9,9,9],[9,9,3,9,1,1,1,9,3,9,9,9,9],[9,9,3,9,1,1,1,3,9,9,9,3,3],[0,0,0,0,1,1,1,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0... | 1 | dataset=solve_zindex group=move_obscured_rectangle_to_top predict=image earlier_prediction=none image_width=medium image_height=medium task_pixels=b | |
SIMON-SOLVE-V1, O5T, predict image | I0
14 10 b95i9,l95,a9d2f9,a9d295b959,a9d2f9,9e15e9,a9d2f9,i95b9,b9a5h9,d95e959
O0
14 10 8,,a8d7f8,,,,,8,,
I1
10 7 c9595a95,9595d95,95b212b9,a9b2129a5,c9515959,a5a951c9,a95a91a959
O1
10 7 8,,a8d7b8,,8,,
I2
13 18 a595h9,5a95c9a5a95,a9f2c9,59f2b95,95f2c9,1,,,,,,,,,,a9f259a5,a9f2c9,95f295a9
O2
13 18 8,,a8f7c8,,,,,,,,,,,,,,... | 12 13 8j7,,,,,,,,,,,, | {"train":[{"input":[[9,9,9,5,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9,5],[9,9,2,2,2,2,2,9,9,9,9,9,9,9],[9,9,2,2,2,2,2,9,5,9,9,9,5,9],[9,9,2,2,2,2,2,9,9,9,9,9,9,9],[9,1,1,1,1,1,1,5,9,9,9,9,9,9],[9,9,2,2,2,2,2,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,5,9,9,9],[9,9,9,5,5,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,5,9,9,9,9,9,9,5,9]]... | 1 | [[8,7,7,7,7,7,7,7,7,7,7,7],[8,7,7,7,7,7,7,7,7,7,7,7],[8,7,7,7,7,7,7,7,7,7,7,7],[8,7,7,7,7,7,7,7,7,7,7,7],[8,7,7,7,7,7,7,7,7,7,7,7],[8,7,7,7,7,7,7,7,7,7,7,7],[8,7,7,7,7,7,7,7,7,7,7,7],[8,7,7,7,7,7,7,7,7,7,7,7],[8,7,7,7,7,7,7,7,7,7,7,7],[8,7,7,7,7,7,7,7,7,7,7,7],[8,7,7,7,7,7,7,2,7,7,7,7],[8,7,7,7,7,7,7,7,7,7,7,7],[8,7,7,... | dataset=solve_zindex group=mask_of_obscured_rectangle predict=image earlier_prediction=repair_1_bad_pixel image_width=medium image_height=medium task_pixels=c |
SIMONSOLVEV1 'O4T' predict the image | I0
10 9 d8b3a8,,,c38b3a8,,,8,,
O0
10 9 c83b838,,d3b838,c83b838,,,h38,8,
I1
11 16 b8b3d8,,,8,b8c3c8,,,,,,,8,c8e38,,,8
O1
11 16 a83b83c8,,,a8e3b8,a83c83b8,,,,,,,a8h3,b83e83,,,b8g3
I2
9 15 b3a8b38,,,d8b38,,8b38b38,8b3d8,,8,b8c3a8,,,,,8
O2
9 15 b8a3b83,,,d3b83,,3b83b83,3b8d3,3b83c8,g38,a83c838,,,,,a8e38
I3T
15 9 8,e3h8,e3a... | 9 8 8,3,3b83b83,,,d3b83,c8d3,8 | {"train":[{"input":[[8,8,8,8,8,3,3,3,8,8],[8,8,8,8,8,3,3,3,8,8],[8,8,8,8,8,3,3,3,8,8],[3,3,3,3,8,3,3,3,8,8],[3,3,3,3,8,3,3,3,8,8],[3,3,3,3,8,3,3,3,8,8],[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]],"output":[[8,8,8,8,3,8,8,8,3,8],[8,8,8,8,3,8,8,8,3,8],[3,3,3,3,3,8,8,8,3,8],[8,8,8,8,3,8,8,8,3,8],[8,... | 1 | [[8,8,8,3,8,8,8,8,8],[3,3,3,8,3,3,8,3,3],[3,8,8,8,3,8,3,8,3],[3,8,8,3,8,8,8,8,3],[3,8,8,8,3,8,8,8,3],[3,3,8,3,3,8,8,8,3],[8,8,8,8,3,3,3,3,3],[8,8,3,8,8,8,8,8,8]] | dataset=solve_rectangle group=rectangle mask_outside_the_filled_rectangles predict=image earlier_prediction=output_distort_1steps_10percent image_width=medium image_height=medium task_pixels=c |
simon-solve-v1 'O4T' predict the image | I0
4 13 a919,9191,1b9,9,91a9,3919,7a93,97a3,3939,9193,a919,91a9,9
O0
13 4 c93973a91a9,919197a91a919,a919a391c91,b939a3c919
I1
13 9 1,,,,,,,,
O1
9 13 1,,,,,,,,,,,,
I2
9 10 49f4,309a4b83,409a8b42,94093b43,4b93a434,a40a9a434,47b09a34,47b40a94,e4039,4
O2
10 9 e49434,a4a7494a09,b4a090a94,b40b98a4,b409a38a4,a409c484,4093c484... | 3 9 539,,379,3a9,6a9,790,,950,936 | {"train":[{"input":[[9,9,1,9],[9,1,9,1],[1,9,9,9],[9,9,9,9],[9,1,9,9],[3,9,1,9],[7,9,9,3],[9,7,3,3],[3,9,3,9],[9,1,9,3],[9,9,1,9],[9,1,9,9],[9,9,9,9]],"output":[[9,9,9,9,3,9,7,3,9,9,1,9,9],[9,1,9,1,9,7,9,9,1,9,9,1,9],[9,9,1,9,3,3,9,1,9,9,9,9,1],[9,9,9,3,9,3,3,9,9,9,9,1,9]]},{"input":[[1,1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,... | 0 | dataset=solve_rotate group=rotate_cw predict=image earlier_prediction=none image_width=medium image_height=medium task_pixels=b | |
SIMONSOLVEVERSION1, 'O2T', predict the image | I0
14 16 b8j5,,,,5,,,,a13a5b8e5,,0a8a5b8e5,a06a5b8e5,5,,,
O0
14 16 a13j5,,0a8j5,a06j5,5,,,,a13a5a13e5,,0a8a50a8e5,a06a5a06e5,5,,,
I1
16 10 e54872e5,e5a469e5,e57a63e5,e58682e5,5,,i5c8a5,,,
O1
16 10 e54872e5,e5a469e5,e57a63e5,e58682e5,5,,i54872a5,i5a469a5,i57a63a5,i58682a5
I2T
10 8 b5c8b5,,5,d5c95,d5c25,5,,
O2T
None | 10 8 b5c9b5,b5c2b5,5,d5c95,d5c25,5,, | {"train":[{"input":[[8,8,8,5,5,5,5,5,5,5,5,5,5,5],[8,8,8,5,5,5,5,5,5,5,5,5,5,5],[8,8,8,5,5,5,5,5,5,5,5,5,5,5],[8,8,8,5,5,5,5,5,5,5,5,5,5,5],[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],[1,1,3,5,5,8,8,8,5,5,5,5,5,5],[1,1,3,5,5,8,8,8,5,5,5,5,5,5],... | 0 | dataset=solve_template group=template with_insertion_image predict=image earlier_prediction=none image_width=medium image_height=medium task_pixels=b | |
SIMON-SOLVE-VERSION1, O2T, predict image | I0
13 14 1e4141b4,f4a141a4,1e41d4,i0414,i0b4,0e3b0a41,,0e3b0b4,0e3b0a41,0e3b0b4,0e3b0414,i0b4,f41b4a1,41a4141c4a1
O0
13 14 1e4141b4,f4a141a4,1e41d4,i0414,i0b4,i0a41,,i0b4,i0a41,i0b4,i0414,i0b4,f41b4a1,41a4141c4a1
I1
11 8 4,i04,,a03f04,a03f01,a03f04,,a03f01
O1
11 8 4,i04,,,i01,i04,,i01
I2T
8 14 1f4,b4b141,c01b4,c0c4,3,,... | 8 14 1f4,b4b141,c01b4,c0c4,c0c3,,,,,,,,,c0b41 | {"train":[{"input":[[1,4,4,4,4,4,4,1,4,1,4,4,4],[4,4,4,4,4,4,4,1,1,4,1,4,4],[1,4,4,4,4,4,4,1,4,4,4,4,4],[0,0,0,0,0,0,0,0,0,0,4,1,4],[0,0,0,0,0,0,0,0,0,0,4,4,4],[0,3,3,3,3,3,3,0,0,0,4,4,1],[0,3,3,3,3,3,3,0,0,0,4,4,1],[0,3,3,3,3,3,3,0,0,0,4,4,4],[0,3,3,3,3,3,3,0,0,0,4,4,1],[0,3,3,3,3,3,3,0,0,0,4,4,4],[0,3,3,3,3,3,3,0,0,0... | 0 | dataset=solve_zindex group=move_obscured_rectangle_to_top predict=image earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
simonsolveversion1, O3T, predict image | I0
8 7 a89d8,829d8,8292c8,89682b8,89a8a6a8,8906c8,89e8
O0
8 7 a42a9292,48292926,4a8692a6,48a98a64,4890a8a4,4898c4,4
I1
5 6 86202,26902,69b2,9c2,2,
O1
5 6 42690,b424,4,,,
I2
5 5 80a97,a9097,a9197,a1927,a8989
O2
5 5 49409,a4919,41a82,4a898,4
I3T
13 5 a58b5a25b95,c5d985a8,5b9f585,58b58f5,8b585a858a58
O3T
13 5 a45e95858,41... | 13 5 a45e95858,a4a9e58a5,4585a484a8454,f4a848a4,4 | {"train":[{"input":[[8,8,9,8,8,8,8,8],[8,2,9,8,8,8,8,8],[8,2,9,2,8,8,8,8],[8,9,6,8,2,8,8,8],[8,9,8,8,6,6,8,8],[8,9,0,6,8,8,8,8],[8,9,8,8,8,8,8,8]],"output":[[4,4,2,9,9,2,9,2],[4,8,2,9,2,9,2,6],[4,8,8,6,9,2,6,6],[4,8,9,9,8,6,6,4],[4,8,9,0,8,8,4,4],[4,8,9,8,4,4,4,4],[4,4,4,4,4,4,4,4]]},{"input":[[8,6,2,0,2],[2,6,9,0,2],[... | 0 | [[4,4,5,9,9,9,9,9,9,5,8,5,8],[4,1,9,9,5,5,5,5,5,5,8,5,5],[4,5,8,5,4,4,8,4,8,8,4,5,4],[4,4,4,4,4,4,4,8,8,4,8,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4]] | dataset=solve_probecolor group=probecolor_bottomleft predict=image earlier_prediction=repair_1_bad_pixel image_width=medium image_height=small task_pixels=a |
Simon-Solve-V1, 'O3T', predict the image | I0
5 4 a07a0,a0760,,a0720
O0
5 4 b565,b525,,5
I1
4 5 b97,9b7,97a9,9,a7a8
O1
4 5 b79,7b9,79a8,a7a8,5
I2
8 4 12b3b1,21a48212,1a2c12,827d2
O2
8 4 21a48b2,1a2b125,857c25,5
I3T
1 3 2,,0
O3T
1 3 5,0,5 | 1 3 0,,5 | {"train":[{"input":[[0,0,7,0,0],[0,0,7,6,0],[0,0,7,6,0],[0,0,7,2,0]],"output":[[5,5,5,6,5],[5,5,5,2,5],[5,5,5,2,5],[5,5,5,5,5]]},{"input":[[9,9,9,7],[9,7,7,7],[9,7,9,9],[9,9,9,9],[7,7,8,8]],"output":[[7,7,7,9],[7,9,9,9],[7,9,8,8],[7,7,8,8],[5,5,5,5]]},{"input":[[1,2,3,3,3,1,1,1],[2,1,4,4,8,2,1,2],[1,2,2,1,1,1,1,2],[8,2... | 0 | [[5],[0],[5]] | dataset=solve_probecolor group=probecolor_bottom predict=image earlier_prediction=repair_1_bad_pixel image_width=small image_height=small task_pixels=a |
simonsolveversion1, 'O3T', predict the image | I0
14 15 f7d0a7,d0a70b70a7,0b70a70b70a7,,0b70a7d0a7,0b70h7,d07e0a7,e70c70a7,,,,,e7e0a7,7,
O0
14 15 f0d707,d7a0d707,,,,d7g07,d70e707,e0e707,d70e707,,,,,d7g07,7
I1
15 14 e7f0a7,d070d70a7,0b7070d70a7,,,0b707f0a7,d0i7,7,h7b0b7,7f07070b7,70d707b0b7,7f0f7,7,
O1
15 14 e0f707,d70f707,,,,,d7h07,e0a7d0a7,h0b70a7,0f70b70a7,,0f7d0... | 14 13 7,,,,f0f7,e70f7,,,e7g0,e7a0d70,g0d70,f70d70,f7f0 | {"train":[{"input":[[7,7,7,7,7,7,7,0,0,0,0,0,7,7],[0,0,0,0,0,7,7,0,7,7,7,0,7,7],[0,7,7,7,0,7,7,0,7,7,7,0,7,7],[0,7,7,7,0,7,7,0,7,7,7,0,7,7],[0,7,7,7,0,7,7,0,0,0,0,0,7,7],[0,7,7,7,0,7,7,7,7,7,7,7,7,7],[0,0,0,0,0,7,0,0,0,0,0,0,7,7],[7,7,7,7,7,7,0,7,7,7,7,0,7,7],[7,7,7,7,7,7,0,7,7,7,7,0,7,7],[7,7,7,7,7,7,0,7,7,7,7,0,7,7],... | 0 | dataset=solve_rectangle group=rectangle mask_outside_the_hollow_rectangles predict=image earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
SIMONSOLVEV1 predict image for O3T | I0
8 6 567d6,1675c6,678a1b6,8768a6a5,8a686563,a658b63
O0
8 6 0,5a06c0,16756b0,a68a10a6,678a16a5,876a1b5
I1
7 7 5e4,5475454,c4745,c47a4,b452a4,c4a54,e45
O1
7 7 0,a0a4040,5075454,50754a5,50747a5,5075245,507b54
I2
3 7 7a8,,8,476,746,,8
O2
3 7 0,,7a0,8,478,,746
I3T
6 13 b4924,a9a243,4a2a34,242a42,3a2423,923924,a24a24,c2a4,... | 6 13 0,b4924,a94243,424a34,2a4342,342a43,943943,9a4923,9a42a4,2a4a29,4a2a43,939293,434943 | {"train":[{"input":[[5,6,7,6,6,6,6,6],[1,6,7,5,6,6,6,6],[6,7,8,1,1,6,6,6],[8,7,6,8,6,6,5,5],[8,6,6,8,6,5,6,3],[6,6,5,8,6,6,6,3]],"output":[[0,0,0,0,0,0,0,0],[5,0,0,6,0,0,0,0],[1,6,7,5,6,0,0,0],[6,6,8,1,1,0,6,6],[6,7,8,1,1,6,5,5],[8,7,6,1,1,5,5,5]]},{"input":[[5,4,4,4,4,4,4],[5,4,7,5,4,5,4],[4,4,4,4,7,4,5],[4,4,4,4,7,4,... | 0 | [[0,0,0,0,0,0],[4,4,4,9,2,4],[9,9,4,2,4,3],[4,2,4,3,3,4],[2,4,4,3,4,2],[3,4,0,4,4,3],[9,4,3,9,4,3],[9,4,4,9,2,3],[9,4,4,2,4,4],[2,4,4,2,2,9],[4,2,2,4,4,3],[9,3,9,2,9,3],[4,3,4,9,4,3]] | dataset=solve_probecolor group=probecolor_top predict=image earlier_prediction=repair_1_bad_pixel image_width=small image_height=medium task_pixels=a |
SIMON-SOLVE-V1, O2T, predict image | I0
45 27 2,,,,,,,p2i0q2,p20a3b03030q2,p230a3a03030q2,p2a03a03a030q2,2,,,,,,,,,,,,,,,
O0
45 27 3,,,,,,,p3i2q3,p32a0b20202q3,p302a0a20202q3,p3a20a20a202q3,3,,,,,,,,,,,,,,,
I1
28 36 2,,,,,,,,,,,,,,,,q208a0e2,q2a080e2,q2c0e2,q2b08e2,q2a080e2,q2c0e2,2,,,,,,,,,,,,,
O1
28 36 8,,,,,,,,,,,,,,,,q820a2e8,q8a202e8,q8c2e8,q8b20e8,q... | 33 10 4,,,o4a0a202j4,o4d20j4,o4020a20j4,4,,, | {"train":[{"input":[[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],[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2... | 0 | [[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],[4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,0,0,2,2,0,2,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4,4,2,4,2,2,2,2,2,0,4,... | dataset=solve_color group=replace_color_different_palettes padding palette_d predict=image earlier_prediction=repair_1_bad_pixel image_width=other image_height=other task_pixels=e |
simonsolvev1 predict image for 'O3T' | I0
1 12 9,,,,,,,,,,,
O0
1 12 9,,,,,,,,,,,
I1
12 8 8e5a8a48,a8e4a814,81841418c4,8a48a4a8c4,8a4a8a4841a4,81a41a8a4b1,8a41a48d4,c41c4141
O1
12 8 4,,,,,,,
I2
8 3 6d363,a36d3,c363a6
O2
8 3 3,,
I3T
3 5 059,062,306,806,3a8
O3T
3 5 095,062,306,,8
I4T
5 4 b870,5a023,532a5,b5a0
O4T
None | 3 5 0,,,, | {"train":[{"input":[[9],[9],[9],[9],[9],[9],[9],[9],[9],[9],[9],[9]],"output":[[9],[9],[9],[9],[9],[9],[9],[9],[9],[9],[9],[9]]},{"input":[[8,5,5,5,5,5,5,8,8,4,4,8],[8,8,4,4,4,4,4,4,8,8,1,4],[8,1,8,4,1,4,1,8,4,4,4,4],[8,4,4,8,4,4,8,8,4,4,4,4],[8,4,4,8,8,4,4,8,4,1,4,4],[8,1,4,4,1,8,8,4,4,1,1,1],[8,4,4,1,4,4,8,4,4,4,4,4]... | 0 | [[0,9,5],[0,6,2],[3,0,6],[3,0,6],[8,8,8]] | dataset=solve_color group=mostleast_popular_color most_popular same predict=image earlier_prediction=input_distort_1steps_10percent image_width=medium image_height=medium task_pixels=a |
simonsolveversion1, 'O5T', predict the image | I0
8 4 d29a2,2,,
O0
8 4 d37a3,c37373,b37b37,a37d3
I1
15 14 2,,,,,,,,,,,,9m2,2
O1
15 14 k37a3,j37b3,i37c3,h37d3,g37e3,f37f3,e37g3,d37h3,c37i3,b37j3,a37k3,37l3,7m3,37l3
I2
5 5 2,,9c2,2,
O2
5 5 a37a3,37b3,7c3,37b3,a37a3
I3
13 14 2,,,f29d2,2,,,,,,,,,
O3
13 14 c37d37a3,d37b37b3,e3737c3,f37d3,e3737c3,d37b37b3,c37d37a3,b37f37... | 5 12 3,,,,,c37,b373,737a3,37b3,737a3,b373,c37 | {"train":[{"input":[[2,2,2,2,2,9,2,2],[2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2]],"output":[[3,3,3,3,3,7,3,3],[3,3,3,3,7,3,7,3],[3,3,3,7,3,3,3,7],[3,3,7,3,3,3,3,3]]},{"input":[[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],[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2],[2,2,... | 1 | dataset=solve_cross group=cross tlbr_trbl intersection2 bothlines predict=image earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
simon-solve-v1, O3T, predict image | I0
9 9 7g9,9,,,,,,e91a9,a90e9
O0
9 9 71f7,a1f7,7,,,,d7b17,7b171717,71717b17
I1
12 8 9,,,,92i9,g98b9,91i9,c93f9
O1
12 8 7,,,b1h7,171c7b1a7,b1c7171a7,17c17b1a7,c171e7
I2
6 15 9,,,,,,,,,a95b9,9,,,,
O2
6 15 7,,,,,,,,7b1a7,7171a7,7b1a7,7,,,
I3T
9 12 9,c92c9,97f9,9,,,,,,,d98b9,9
O3T
9 12 9,d92b9,97f9,9,,,,,,,c98c9,9 | 9 12 b7b1b7,c171b7,17c1b7,b1e7,7,,,,,c7b1a7,c7171a7,c7b1a7 | {"train":[{"input":[[7,9,9,9,9,9,9,9,9],[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],[9,9,9,9,9,9,1,9,9],[9,9,0,9,9,9,9,9,9]],"output":[[7,1,7,7,7,7,7,7,7],[1,1,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7],[7,7,7,7,... | 0 | [[9,9,9,9,9,9,9,9,9],[9,9,9,9,9,2,9,9,9],[9,7,9,9,9,9,9,9,9],[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],[9,9,9,9,8,9,9,9,9],[9,9,9,9,9,9,9,9,9]] | dataset=solve_ray group=emit_rays_from_lonely_pixels predict=image earlier_prediction=input_distort_1steps_10percent image_width=medium image_height=medium task_pixels=b |
SIMONSOLVEV1 predict image for O4T | I0
12 11 b81g8,8,,,,,,,,,
O0
12 11 b69g6,6,,,,,,,,,
I1
6 5 b81a8,8,,,
O1
6 5 b69a6,6,,,
I2
7 12 8,,,,,,,,,,81d8,8
O2
7 12 7,,,,,,,,,,69d6,6
I3
6 5 8,,,81c8,8
O3
6 5 7,,,69c6,6
I4T
10 12 8,,,,,,,,,,h81,8
O4T
None
I5T
11 6 f81b8,8,,,,
O5T
None | 10 12 7,,,,,,,,,,h69,6 | {"train":[{"input":[[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],[8,8,8,8,8,8,8,8,8,8,8,8],[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]],"output":[[6,... | 0 | dataset=solve_halfplane group=halfplane_with_one_pixel_top predict=image earlier_prediction=none image_width=medium image_height=medium task_pixels=b | |
Simon-Solve-Version1 predict image for O4T | I0
12 13 f3838a3,g3a8a3,3,h3a83,h3838,h38a3,,,,,,,
O0
12 13 1,,h19a1,1,,,,,,,,,
I1
6 11 a38b3,,,,,,,838b3,3a8b3,3,a3a8a3
O1
6 11 1,,,,,,,,,a19b1,1
I2
8 12 8f3,,,,,,3,a8e3,838d3,8a38c3,8b38b3,8c38a3
O2
8 12 1,,,,,,9f1,1,,,,
I3
10 15 a38f3,838f3,3a8f3,3,a3a8e3,a3838d3,a38a38c3,a38b38b3,a38c38a3,a38d383,a38e38,a38f3,,,
O3... | 11 13 1,,,,,,,,,,f19b1,1, | {"train":[{"input":[[3,3,3,3,3,3,3,8,3,8,3,3],[3,3,3,3,3,3,3,3,8,8,3,3],[3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,8,8,3],[3,3,3,3,3,3,3,3,3,8,3,8],[3,3,3,3,3,3,3,3,3,8,3,3],[3,3,3,3,3,3,3,3,3,8,3,3],[3,3,3,3,3,3,3,3,3,8,3,3],[3,3,3,3,3,3,3,3,3,8,3,3],[3,3,3,3,3,3,3,3,3,8,3,3],[3,3,3,3,3,3,3,3,3,8,3,3],[3,3,3,3,3,3,3... | 0 | [[3,3,3,3,3,3,3,3,8,3,3],[3,3,3,3,3,3,3,8,3,3,3],[3,3,3,3,3,3,3,8,3,3,3],[3,3,3,3,3,3,3,8,3,3,3],[8,8,3,3,3,3,3,8,3,3,3],[3,3,3,8,3,3,3,8,3,3,3],[3,3,3,8,3,3,3,8,3,3,3],[3,3,3,3,8,3,3,8,3,3,3],[3,3,3,3,3,8,8,3,3,3,3],[3,3,3,3,3,3,8,3,8,3,3],[3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,8,8,3,3],[3,3,3,3,3,3,3,8,3,8,3]] | dataset=solve_cross group=cross tlbr_tb mask2 intersection predict=image earlier_prediction=input_distort_1steps_10percent image_width=medium image_height=medium task_pixels=c |
simon-solve-v1, 'O3T', predict the image | I0
10 16 d7d8,7b87d8,d7d8,8,,b7a8c78,787a87a878,b7a87a878,d87a878,c787a878,7a8787a878,7a878c78,7a87e8,c7e8,8,
O0
10 16 d7d8,,,8,,b7a8c78,,,d8c78,c78c78,,,c7e8,,8,
I1
16 16 8d7i8,87b87i8,8d7i8,8,d8f7c8,b7a87d87c8,787a87d87c8,b7a87d87c8,d87d87c8,,d8f7c8,8,,,,
O1
16 16 8d7i8,,,8,d8f7c8,b7a8f7c8,,,d8f7c8,,,8,,,,
I2
16 13 e... | 13 12 e8d7a8,d78d7a8,,,,d7g8,,8,8e7e8,,,8 | {"train":[{"input":[[7,7,7,7,7,8,8,8,8,8],[7,8,8,8,7,8,8,8,8,8],[7,7,7,7,7,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8],[7,7,7,8,8,7,7,7,7,8],[7,8,7,8,8,7,8,8,7,8],[7,7,7,8,8,7,8,8,7,8],[8,8,8,8,8,7,8,8,7,8],[7,7,7,7,8,7,8,8,7,8],[7,8,8,7,8,7,8,8,7,8],[7,8,8,7,8,7,7,7,7,8],[7,8,8,7,8,8,8,8,8,8],[7,7,7,7,8,8,8... | 0 | [[8,8,8,8,8,8,7,7,7,7,7,8,8],[7,7,7,7,7,8,7,7,7,7,7,8,8],[7,7,7,7,7,8,7,7,7,7,7,8,8],[7,7,7,7,7,8,7,7,7,7,8,7,8],[7,7,7,7,7,8,7,7,8,7,7,8,8],[7,7,7,7,7,8,8,8,7,8,8,8,8],[7,8,7,7,7,8,8,8,8,8,8,8,8],[8,7,8,8,8,8,8,8,8,8,8,8,8],[8,7,7,7,7,7,7,8,8,8,8,8,8],[8,7,7,7,7,7,7,8,8,8,8,8,8],[8,7,7,7,7,7,7,8,8,8,8,8,8],[8,8,8,8,8,... | dataset=solve_rectangle group=rectangle fill_the_hollow_rectangles predict=image earlier_prediction=output_distort_1steps_10percent image_width=medium image_height=medium task_pixels=c |
Simon-Solve-V1 predict image for 'O4T' | I0
18 13 7,o797,h70g7,7,e78j7,a70n7,7,,,,,,p71
O0
18 13 a78a7170f79a7,7,,0p7,7,,,,,,,,
I1
24 19 7,,n73g7,7,,,,u757,7,,,,,,,,73u7,7,
O1
24 19 l7375g7,7,,,,,,,,,,,,,,3v7,7,,
I2
9 20 7,,,,,,,,,,,,,,a70e7,7,,,f787,c70c7
O2
9 20 7,,,,,,,,,,,8g7,0g7,7,,0g7,7,,,
I3
26 4 s79d7,r79e7,s76d7,l78k7
O3
26 4 i78f7979d7,r76e7,7,
I4T
... | 29 18 i78q7,j71p7,7,,,,,,,,,,,,,,, | {"train":[{"input":[[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,9,7],[7,7,7,7,7,7,7,7,7,0,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,8,7,7,7,7,7,7,7,7,7,7,7],[7,7,0,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7... | 0 | [[7,7,7,7,7,7,7,7,7,7,8,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,1,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,... | dataset=solve_gravity group=gravity_move_bottomright_to_topleft predict=image earlier_prediction=output_distort_1steps_10percent image_width=large image_height=medium task_pixels=d |
simon-solve-version1 predict image for O4T | I0
7 4 80c21,01c24,14c28,4801480
O0
7 4 a8c28,,,8
I1
6 6 014801,148014,48c2,80c2,01c2,14c2
O1
6 6 8,,a8c2,,,
I2
5 7 48014,80a28,01a20,14a21,48a24,80148,01480
O2
5 7 8,a8a28,,,,8,
I3
8 5 80148014,014c28,148c20,480c21,801c24
O3
8 5 8,b8c28,,,
I4T
8 6 48014801,80148014,0c2148,1c2480,4c2801,8c2014
O4T
8 6 8,,8b2c8,8d2a8,8c... | 8 6 8,,8c2b8,,, | {"train":[{"input":[[8,0,2,2,2,2,1],[0,1,2,2,2,2,4],[1,4,2,2,2,2,8],[4,8,0,1,4,8,0]],"output":[[8,8,2,2,2,2,8],[8,8,2,2,2,2,8],[8,8,2,2,2,2,8],[8,8,8,8,8,8,8]]},{"input":[[0,1,4,8,0,1],[1,4,8,0,1,4],[4,8,2,2,2,2],[8,0,2,2,2,2],[0,1,2,2,2,2],[1,4,2,2,2,2]],"output":[[8,8,8,8,8,8],[8,8,8,8,8,8],[8,8,2,2,2,2],[8,8,2,2,2,2... | 0 | [[8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8],[8,2,2,2,8,8,8,8],[8,2,2,2,2,2,8,8],[8,2,2,2,2,8,8,8],[8,2,2,2,2,8,8,8]] | dataset=solve_mask group=identify_the_masked_rectangle predict=image earlier_prediction=output_distort_1steps_10percent image_width=small image_height=small task_pixels=a |
SIMON-SOLVE-V1 predict image for 'O3T' | I0
48 27 b4e6b4w6b4e6b4,,,b6b4b6b4z6b4b6b4,,,e4z6b6e4e6,,,k6b4e6b4k6b4e6b4,,,n6b4b6b4n6b4b6b4,,,k6e4q6e4e6,,,b4e6e4e6b4w6,,,b6b4b6b4b6b4b6b4w6,,,e4e6e4z6b6,,
O0
12 9 b6e4b6,,,b4b6b4b6,,,e6e4,,
I1
48 12 h4b6h4b6h4n6,,,b4h6b4h6b4t6,,,h4z6k6,,,b4z6q6,,
O1
12 6 h6b4,,,b6h4,,
I2
75 75 z6z6b4q6,,,z6w6h4n6,,,,,,z6w6e4q6,,,z6t... | 9 6 b6e4,,,e6b4,, | {"train":[{"input":[[4,4,4,6,6,6,6,6,6,4,4,4,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,4,4,4,6,6,6,6,6,6,4,4,4],[4,4,4,6,6,6,6,6,6,4,4,4,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,4,4,4,6,6,6,6,6,6,4,4,4],[4,4,4,6,6,6,6,6,6,4,4,4,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,4,4,4,6,6,6,6,6,6,4,4,4],[6,6,6... | 0 | [[4,4,4,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6],[4,4,4,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6],[4,4,4,4,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6],[4,4,4,6,4,4,4,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6],[4,4,4,4,4,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6],[4,4,4,4,4,4,6,6,6,6,6,6,6,6,6,6,6,6,6,... | dataset=solve_fractal group=fractal_to_pattern predict=image earlier_prediction=input_distort_1steps_10percent image_width=other image_height=other task_pixels=other |
simon-solve-v1 'O4T' predict the image | I0
11 13 4,,a43e474,4,,,e40c4,4,,,,i45,4
O0
11 13 6b06a06b0,a606c0606,0a6e0a6,0b6c0b6,6a0a6a0a6a0,c0c6b0,d0a6c0,c0c6b0,b0a6a0a6a0,a0a6c0a60,0a6e0a6,a6g06,6g060
I1
11 5 4,d49d4,b46f4,e40c4,4
O1
11 5 060c6a060,a060a6a06a0,b0d6b0,a0b60a6b0,0a6a060a6a0
I2
9 6 4,,,42b43b4,e45a4,4
O2
9 6 a0606b06,b06b060,606060606,06b06060,6... | 8 12 d06a0,e060,f06,e060,d06a0,c06b0,b06b06,a06b060,06b06a0,6b06b0,0606c0,a06d0 | {"train":[{"input":[[4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4],[4,4,3,4,4,4,4,4,4,7,4],[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],[4,4,4,4,4,4,0,4,4,4,4],[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],[4,4,4,4,4,4... | 0 | [[0,0,0,0,0,6,0,0],[0,0,0,0,0,0,6,0],[0,0,0,0,0,0,0,6],[0,0,0,0,0,0,6,0],[0,0,0,0,0,6,0,0],[0,0,0,0,6,0,0,0],[0,8,0,6,0,0,0,6],[0,0,6,0,0,0,6,0],[0,6,0,0,0,6,0,0],[6,0,0,0,6,0,0,0],[0,6,0,6,0,0,0,0],[0,0,6,0,0,0,0,0]] | dataset=solve_ray group=emit_rays_from_lonely_pixels predict=image earlier_prediction=repair_1_bad_pixel image_width=medium image_height=medium task_pixels=c |
simonsolveversion1 predict image for 'O4T' | I0
6 4 9,a4a7a9,9a7a29,7295a9
O0
6 4 6,c6a9,a69a69,d69
I1
4 10 07a0,02a0,0,07a0,a0a7,0292,a797,,0797,b07
O1
4 10 6,96a9,,,9b6,,a696,9,6b9,9a69
I2
10 3 b375d3,a3b1a5b3,c6d83
O2
10 3 6,a9d6b9,h69
I3
5 4 2,,,
O3
5 4 6,9,,
I4T
5 3 b978,387a8,83868
O4T
5 3 b696,c69,
I5T
5 10 a45a4,a4584,,b454,a4854,b454,a4a54,a41a4,4,
O5T
N... | 5 3 6,c69, | {"train":[{"input":[[9,9,9,9,9,9],[4,4,7,7,9,9],[9,7,7,2,2,9],[7,2,9,5,9,9]],"output":[[6,6,6,6,6,6],[6,6,6,6,9,9],[6,6,9,6,6,9],[6,6,6,6,6,9]]},{"input":[[0,7,0,0],[0,2,0,0],[0,0,0,0],[0,7,0,0],[0,0,7,7],[0,2,9,2],[7,7,9,7],[7,7,9,7],[0,7,9,7],[0,0,0,7]],"output":[[6,6,6,6],[9,6,9,9],[9,6,9,9],[9,6,9,9],[9,6,6,6],[9,6... | 0 | [[6,6,6,9,6],[6,6,6,6,9],[6,6,6,6,9]] | dataset=solve_edge group=edge_top predict=image earlier_prediction=repair_1_bad_pixel image_width=small image_height=small task_pixels=a |
simonsolveversion1, 'O4T', predict the image | I0
6 10 6,,,,,b68a6,68c6,a8b68,68c6,a8c6
O0
1 2 6,
I1
12 10 4a84a8e2,a8c4c282,b4848e2,4a8a4a8a28a2,848484e2,h98a9,9,,,a98e98a9
O1
2 2 42,9
I2
12 10 i818,e8c181,f818b1,e8e1,f818b1,e8b6868,e8e6,,,
O2
2 2 81,86
I3
12 10 a68686e1,d68e1,e6e1,68a686e1,6868a6e1,b98d98a9,c989b8a98,f98a989,j98,e98c98
O3
2 2 61,9
I4T
12 5 a858a5... | 2 1 5 | {"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],[6,6,6,8,6,6],[6,8,6,6,6,6],[8,8,6,6,6,8],[6,8,6,6,6,6],[8,8,6,6,6,6]],"output":[[6],[6]]},{"input":[[4,8,8,4,8,8,2,2,2,2,2,2],[8,8,4,4,4,4,2,2,2,2,8,2],[4,4,4,8,4,8,2,2,2,2,2,2],[4,8,8,4,4,8,8,2,2,8,2,2],[8,4,8,4,8,4,2,2,2,2,2,2]... | 0 | [[5,5]] | dataset=solve_scale group=scale_x6down_y5down_noise8 predict=image earlier_prediction=output_distort_1steps_10percent image_width=medium image_height=small task_pixels=b |
simon-solve-version1 'O5T' predict the image | I0
10 3 6c2d6,3a6a8d6,6
O0
10 3 4,e4b14,4
I1
4 10 45a4,4,1a41,4,,,,1a45,4,b45
O1
4 10 4,,,,4a14,,4,,,
I2
9 8 2,0c2a0a2,a02b02a0,20a20a2a0,d20b2,2,a0f2,b20a2b0
O2
9 8 4,,,,,b41b414,4,
I3
5 7 c21,1,,13b1,1,a13a1,1
O3
5 7 4,,b414,,4,,
I4T
9 10 b18a17a1,1a4817131,4a1817131,a18d13,g13,1,,e14a1,,1
O4T
None
I5T
8 5 5,b48c4,f4... | 8 5 4,,41b41a4,d41a4,4 | {"train":[{"input":[[6,2,2,2,2,6,6,6,6,6],[3,6,6,8,8,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6]],"output":[[4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,1,1,1,4],[4,4,4,4,4,4,4,4,4,4]]},{"input":[[4,5,4,4],[4,4,4,4],[1,4,4,1],[4,4,4,4],[4,4,4,4],[4,4,4,4],[4,4,4,4],[1,4,4,5],[4,4,4,4],[4,4,4,5]],"output":[[4,4,4,4],[4,4,4,4],[4,4,4,4],[4,4... | 1 | dataset=solve_outline group=outline_all8 predict=image earlier_prediction=none image_width=small image_height=small task_pixels=b | |
Simon-Solve-Version1 predict image for 'O3T' | I0
10 8 d9b8a9,9b89b8a9,9b8e9,9,,,b9b1c9,b95e9
O0
10 8 d9b1a9,9b195c9,95g9,9,,,,
I1
10 9 9,,,a9a5e9,a915e9,a935c9a8,g9a8,,9
O1
10 9 9,,,,,g9a5,g915,g935,9
I2
10 7 b932d9,b903d9,b934d9,a89a4b9a8,a8e9a8,,
O2
10 7 9,,,32e932,03e903,34e934,a4e9a4
I3T
7 13 c8b9,,9,950a7a9,90592a9,9,,,c8b9,,9,,
O3T
7 13 50a7b9,0592b9,9,,,,,0... | 7 13 50a7b9,0592b9,9,,,,,,50a7b9,0592b9,9,, | {"train":[{"input":[[9,9,9,9,9,8,8,8,9,9],[9,8,8,8,9,8,8,8,9,9],[9,8,8,8,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9],[9,9,9,1,1,1,9,9,9,9],[9,9,9,5,9,9,9,9,9,9]],"output":[[9,9,9,9,9,1,1,1,9,9],[9,1,1,1,9,5,9,9,9,9],[9,5,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9],[9,... | 0 | [[5,0,7,7,9,9,9],[0,5,9,2,9,9,9],[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],[0,9,9,9,9,9,9],[9,5,7,7,9,9,9],[0,5,9,9,9,9,9],[9,9,9,2,9,9,9],[9,9,9,9,9,9,9],[9,9,9,9,9,9,9]] | dataset=solve_template group=template without_insertion_image predict=image earlier_prediction=output_distort_1steps_10percent image_width=medium image_height=medium task_pixels=b |
simon-solve-v1, 'O3T', predict the image | I0
8 17 6,,b6c06,,,,,a6d06,,,,,6,,,,
O0
5 10 0,,,,,6c0,,,,
I1
17 15 6,,,,,d6f1b0a6,d68c0180a8a6,d6a0801b080a6,d68b01d0a6,d6a0818d0a6,d6a01b08080a6,d601d08a0a6,6,,
O1
10 7 01d08a0,a01b08080,a0818d0,8b01d0,a0801b080,8c0180a8,f1b0
I2
17 18 6,,,,,6j1d6,,,6f1a3a1d6,6e13c1d6,6d13d1d6,6a1b3e1d6,6a181a3d1d6,6e13c1d6,6,,,
O2
11... | 11 7 7,g7a37,c7c3a97,7b39c747,g74a7,, | {"train":[{"input":[[6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6],[6,6,6,0,0,0,0,6],[6,6,6,0,0,0,0,6],[6,6,6,0,0,0,0,6],[6,6,6,0,0,0,0,6],[6,6,6,0,0,0,0,6],[6,6,0,0,0,0,0,6],[6,6,0,0,0,0,0,6],[6,6,0,0,0,0,0,6],[6,6,0,0,0,0,0,6],[6,6,0,0,0,0,0,6],[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],[6,6,6,6,6,6... | 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],[6,6,6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,4,6,6,6],[6,7,7,7,7,7,7,7,7,6,7,7,6],[6,7,7,7,7,7,7,7,7,4,6,7,7],[6,7,3,3,7,7,7,7,7,7,7,7,6],[7,7,7,7,3,9,7,7,7,4,9,7,6],[6,6,7,7,7,3,3,3,3,9,4,7,6],[6,7,7,7,7,7,7,7,3,7,3,7,6],[7,6,7,7,7,... | dataset=solve_flip group=flipy predict=image earlier_prediction=input_distort_1steps_10percent image_width=medium image_height=medium task_pixels=c |
SIMON-SOLVE-VERSION1, 'O3T', predict the image | I0
8 12 c0b20,b0a2020,7f2,7232a020,97302a02,973202a0,973a20a2,a97a02a0,90730202,0273a2a0,0a272a02,2a072a02
O0
12 8 a020202020a2,c2a02d0,202a020b2a0,b20202a0b2,0b20a20a3a7,a02c3b720,a0a2b790a20,a0a7d9a02
I1
12 2 9,
O1
2 12 9,,,,,,,,,,,
I2T
2 3 92,69,79
O2T
None
I3T
3 10 7a1,721,724,742,4a1,1,,,,
O3T
10 3 a142e1,1a24e1,c... | 10 3 a142e1,1a24e1,c74d1 | {"train":[{"input":[[0,0,0,0,2,2,2,0],[0,0,0,2,2,0,2,0],[7,2,2,2,2,2,2,2],[7,2,3,2,0,0,2,0],[9,7,3,0,2,0,0,2],[9,7,3,2,0,2,0,0],[9,7,3,2,2,0,2,2],[9,9,7,0,0,2,0,0],[9,0,7,3,0,2,0,2],[0,2,7,3,2,2,0,0],[0,2,2,7,2,0,0,2],[2,0,0,7,2,0,0,2]],"output":[[0,0,2,0,2,0,2,0,2,0,2,2],[2,2,2,2,0,0,2,0,0,0,0,0],[2,0,2,0,0,2,0,2,2,2,... | 1 | [[1,1,4,2,1,1,1,1,1,1],[1,2,2,4,1,1,1,1,1,1],[7,7,7,7,4,1,4,1,1,1]] | dataset=solve_rotate group=rotate_ccw predict=image earlier_prediction=repair_1_bad_pixel image_width=medium image_height=medium task_pixels=a |
SIMONSOLVEV1, 'O4T', predict the image | I0
19 7 2q9,9,,b92b9a2i9,9,,
O0
19 7 2q9,,,2a92b9a2i9,,,
I1
19 6 9,,c92g92d9,d92l9,,f92j9
O1
19 6 9,,c92g92d9,c9a2f92d9,,c9a292d92d9
I2
18 12 9,p92,9,c92b92h9,9,,,,,o929,i92f9,9
O2
18 12 9,p92,,c92b92g92,,,,,,c92b92f9a2,c92b9292d9a2,
I3T
9 22 d92b9,9,,,,,,,d92b9,9,,,,,,,b92d9,9,,,,
O3T
None
I4T
18 16 g92h9,9,,,n92a9,9,... | 18 16 g92h9,,,,g92e92a9,,,,f9a2e92a9,,,,,f9a292c92a9,92d9a292c92a9, | {"train":[{"input":[[2,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9],[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],[9,9,9,2,9,9,9,2,2,9,9,9,9,9,9,9,9,9,9],[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]],"output":[[2,9,9,9,... | 1 | [[9,9,9,9,9,9,9,9,2,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,2,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,2,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,2,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,2,9,9,9,9,9,9,2,9,9],[9,9,9,9,9,9,9,9,2,9,9,9,9,9,9,9,2,9],[9,9,9,9,9,9,9,9,2,9,9,9,9,9,9,2,9,9],[9,9,9,9,9,9,9,2,2,9,9,9,9,9,9,2,9,9],[9,9,9,9,9,9,9,... | dataset=solve_gravity group=gravity_draw_top_to_bottom predict=image earlier_prediction=output_distort_1steps_10percent image_width=medium image_height=large task_pixels=c |
simon-solve-v1 predict image for O3T | I0
18 19 0,,b8a0c4a0d8a0,,,,,,0,,b3a0c4a0d5a0,0,,b1a0c1a0d1a0,,,,0,
O0
3 3 848,345,1
I1
13 23 0,,b5i0,,,,0,,b6a0e6a0,,0,,b8a0e6a0,,0,,b8a0e8a0,,,,,0,
O1
2 4 50,6,86,8
I2
21 23 0,,1a0d2a0a3a0d7a0,0,,1a0d2a0a3a0d3a0,,,,,0,,6h0a2a0d4a0,,0,,3a0d1a0a1a0d1a0,,,,,0,
O2
4 4 1237,12a3,6024,3b1
I3T
28 16 0,,3a0b9a0c9a0e9a0c9a0,,... | 5 2 3c9,30b9 | {"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],[8,8,8,0,0,4,4,4,4,0,0,8,8,8,8,8,0,0],[8,8,8,0,0,4,4,4,4,0,0,8,8,8,8,8,0,0],[8,8,8,0,0,4,4,4,4,0,0,8,8,8,8,8,0,0],[8,8,8,0,0,4,4,4,4,0,0,8,8,8,8,8,0,0],[8,8,8,0,0,4,4,4,4,0,0,8,8,8,8,8,0,0],[8,8,8,0,0,4,4,4,4,0,0,8,8,8,8,8,0... | 0 | [[3,9,9,9,9],[3,0,7,9,9]] | dataset=solve_grid group=extract_content_from_grid_original predict=image earlier_prediction=repair_1_bad_pixel image_width=large image_height=large task_pixels=d |
SIMON-SOLVE-VERSION1 predict image for O3T | I0
1 7 0,,,,,9,
O0
1 7 0,,,,,9,
I1
7 7 a7857a5,d582,7e5,e57,5,,8c595
O1
7 7 a5a7857,82d5,a57c5,57d5,5,,958c5
I2
7 7 0,,,,,,d060
O2
7 7 0,,,,,,6e0
I3T
7 12 6a93a91,93c96,3c960,9a3a960,b36969,a919a69,3919369,9193191,6a91396,3b9691,1916a91,a91c9
O3T
7 12 916a939,9693b9,603c9,609a3a9,69b369,6b9193,6939193,9191931,9a6a913,9... | 7 12 916a939,9693b9,603c9,609a3a9,69b369,6b9196,6939193,9191931,9a6a913,913b96,9a19169,c91a9 | {"train":[{"input":[[0],[0],[0],[0],[0],[9],[9]],"output":[[0],[0],[0],[0],[0],[9],[9]]},{"input":[[7,7,8,5,7,5,5],[5,5,5,5,5,8,2],[7,5,5,5,5,5,5],[5,5,5,5,5,5,7],[5,5,5,5,5,5,5],[5,5,5,5,5,5,5],[8,5,5,5,5,9,5]],"output":[[5,5,7,7,8,5,7],[8,2,5,5,5,5,5],[5,5,7,5,5,5,5],[5,7,5,5,5,5,5],[5,5,5,5,5,5,5],[5,5,5,5,5,5,5],[9... | 0 | [[9,1,6,9,9,3,9],[9,6,9,3,9,9,9],[6,0,3,9,9,9,9],[6,0,9,3,3,9,9],[6,9,3,3,3,6,9],[6,9,9,9,1,9,3],[6,9,3,9,1,9,3],[9,1,9,1,9,3,1],[9,6,6,9,9,1,3],[9,1,3,9,9,9,6],[9,1,1,9,1,6,9],[9,9,9,9,1,9,9]] | dataset=solve_translate group=translate_xplus2 predict=image earlier_prediction=repair_1_bad_pixel image_width=medium image_height=medium task_pixels=b |
simonsolveversion1 predict image for O3T | I0
6 6 a5b45,24c5,2b585,,5,
O0
6 6 5,,a57b5,,5b7a5,5
I1
6 7 c252,b25a2,2825a2,028b2,750b2,7520a2,7d2
O1
6 7 5,,,c575,,5,
I2T
7 6 e40,d4a0,c4a04,d404,c4040,4
O2T
None
I3T
6 7 b75a7,576574,76b74,4b747,7,74b74,4d7
O3T
6 7 5,,,57c5,a5a7a5,b57a5,5 | 6 7 5,,,a57b5,a5a7a5,b57a5,5 | {"train":[{"input":[[5,5,4,4,4,5],[2,4,5,5,5,5],[2,5,5,5,8,5],[2,5,5,5,8,5],[5,5,5,5,5,5],[5,5,5,5,5,5]],"output":[[5,5,5,5,5,5],[5,5,5,5,5,5],[5,5,7,5,5,5],[5,5,7,5,5,5],[5,7,7,7,5,5],[5,5,5,5,5,5]]},{"input":[[2,2,2,2,5,2],[2,2,2,5,2,2],[2,8,2,5,2,2],[0,2,8,2,2,2],[7,5,0,2,2,2],[7,5,2,0,2,2],[7,2,2,2,2,2]],"output":[... | 1 | [[5,5,5,5,5,5],[5,5,5,5,5,5],[5,5,5,5,5,5],[5,7,5,5,5,5],[5,5,7,7,5,5],[5,5,5,7,5,5],[5,5,5,5,5,5]] | dataset=solve_erosion group=erosion nearest4 predict=image earlier_prediction=output_distort_1steps_10percent image_width=small image_height=small task_pixels=a |
Simon-Solve-V1 predict image for O2T | I0
16 14 0,,,,b0i7b0,b07a04d07b0,b070a6d07b0,b0704e07b0,b07g07b0,,,,b0i7b0,0
O0
16 14 7,,,,b7i0b7,b7b04e0b7,b7a0a6e0b7,b7a04f0b7,b7i0b7,,,,,7
I1
13 13 0,0h7b0,07f07b0,,,,07e047b0,07c04a67b0,07c06407b0,0h7b0,0,,
O1
13 13 7,7h0b7,,,,,7f040b7,7d04a60b7,7d064a0b7,7h0b7,7,,
I2T
14 18 0,,0h7c0,07f07c0,,,,07b0a6a47c0,07a0a606... | 14 18 7,,7h0c7,,,,,7c0a6a40c7,7b0a60640c7,7c04a040c7,7h0c7,,,,,7,, | {"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],[0,0,0,7,7,7,7,7,7,7,7,7,7,0,0,0],[0,0,0,7,0,0,4,0,0,0,0,0,7,0,0,0],[0,0,0,7,0,6,6,0,0,0,0,0,7,0,0,0],[0,0,0,7,0,4,0,0,0,0,0,0,7,0,0,0],[0,0,0,7,0,0,0,0,0,0,0,0,7,0... | 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],[0,7,0,7,7,7,7,7,7,7,0,0,0,0],[0,7,7,0,0,0,0,0,0,7,0,0,0,0],[0,7,0,0,0,0,0,0,0,7,0,0,0,0],[0,7,0,0,0,0,0,0,0,7,0,0,0,0],[0,7,0,0,0,0,0,0,0,7,0,0,0,0],[0,7,0,0,0,6,6,6,7,4,0,0,0,0],[0,7,0,0,6,6,0,4,4,7,0,0,0,0],[0,7,0,0,0,4,0,0,4,7,0,0,0,0],[0,7,0,0,0,0,0,0,0,... | dataset=solve_boundingbox group=boundingbox_inner swap_background_outer predict=image earlier_prediction=input_distort_1steps_10percent image_width=medium image_height=medium task_pixels=c |
simonsolvev1 predict image for O2T | I0
9 14 0,c07c0,07d070,07e07,a07e0,07f0,e9b0,,,,,,,b07d0
O0
9 14 9,,,,,,e4b9,,,,,,,9
I1
14 16 0b707f90,b0a70f97,e0f97,a07a07c07070,070707c0a7a0,b0a7e07a0,b07e0a7a0,a0707b07d0,7d0b7a0b7,07a07a0707c0,07f07c0,07070b7e0,07070a7a07b07,d07c0b70,a07a0707a07b0,b070a7f0
O1
14 16 e9f49,,,9,,,,,,,,,,,,
I2T
16 11 b0707d07a0a7,7e07... | 16 11 9,,,b4l9,,,,,,,9 | {"train":[{"input":[[0,0,0,0,0,0,0,0,0],[0,0,0,0,7,0,0,0,0],[0,7,0,0,0,0,0,7,0],[0,7,0,0,0,0,0,0,7],[0,0,7,0,0,0,0,0,0],[0,7,0,0,0,0,0,0,0],[9,9,9,9,9,9,0,0,0],[9,9,9,9,9,9,0,0,0],[9,9,9,9,9,9,0,0,0],[9,9,9,9,9,9,0,0,0],[9,9,9,9,9,9,0,0,0],[9,9,9,9,9,9,0,0,0],[9,9,9,9,9,9,0,0,0],[0,0,0,7,0,0,0,0,0]],"output":[[9,9,9,9,... | 0 | [[0,0,0,7,0,7,0,0,0,0,0,7,0,0,7,7],[7,0,0,0,0,0,0,7,0,0,7,0,0,0,0,7],[7,9,0,7,0,0,0,7,7,7,7,0,0,7,0,7],[9,7,9,9,0,7,0,0,0,7,0,0,0,0,0,7],[9,9,0,9,0,0,7,0,0,0,0,0,7,0,7,7],[9,9,0,7,0,0,0,0,7,0,0,0,7,0,7,0],[9,9,9,0,7,7,0,7,7,0,0,7,7,7,0,7],[9,9,9,0,0,7,7,0,0,7,7,0,0,0,7,0],[9,9,9,0,7,7,7,7,7,7,0,7,7,0,0,7],[9,9,9,0,0,0,... | dataset=solve_zindex group=mask_of_primary_rectangle predict=image earlier_prediction=input_distort_1steps_10percent image_width=medium image_height=medium task_pixels=c |
simonsolvev1, O4T, predict image | I0
8 8 2a69a4a1,9a64a1a2,,4a61a2a9,a4a1a2a9,a1a2a9a4,,a2a9a4a1
O0
8 8 3a2d3,,,,3,,,
I1
7 8 a9a4a12,a9a4b6,a4a1b6,a4a1a29,a1a2a94,,a2a9a41,
O1
7 8 3,c3b2,,3,,,,
I2
5 8 2a9a4,,c61,,c62,4a1a2,1a2a9,
O2
5 8 3,,c23,,,3,,
I3T
5 7 a9a41,,4c6,,1c6,a1a29,a2a94
O3T
None
I4T
7 6 a9a4a12,a94a612,a41a629,,a1a2a94,
O4T
7 6 3,b3a2a3,... | 7 6 3,b3a2a3,,,3, | {"train":[{"input":[[2,6,6,9,4,4,1,1],[9,6,6,4,1,1,2,2],[9,6,6,4,1,1,2,2],[4,6,6,1,2,2,9,9],[4,4,1,1,2,2,9,9],[1,1,2,2,9,9,4,4],[1,1,2,2,9,9,4,4],[2,2,9,9,4,4,1,1]],"output":[[3,2,2,3,3,3,3,3],[3,2,2,3,3,3,3,3],[3,2,2,3,3,3,3,3],[3,2,2,3,3,3,3,3],[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]]}... | 1 | [[3,3,3,3,3,3,3],[3,3,3,2,2,3,3],[3,3,3,9,2,3,3],[3,3,3,2,2,3,3],[3,3,3,3,3,3,3],[3,3,3,3,3,3,3]] | dataset=solve_mask group=identify_the_masked_rectangle predict=image earlier_prediction=repair_1_bad_pixel image_width=small image_height=small task_pixels=a |
SIMONSOLVEV1 'O4T' predict the image | I0
19 17 1,,,,3k13d1,j13f1,1,,,,,,,,,,i13g1
O0
19 17 1,,,,m3d1,k3f1,1,,,,,,,,,,j3g1
I1
17 26 1,,,,,,,,3o1,m13a1,c13k1,i13e1,1,,,,,,j13d1,1,,,,,,
O1
17 26 1,,,,,,,,3o1,n3a1,d3k1,j3e1,1,,,,,,k3d1,1,,,,,,
I2
29 30 k13o1,1,,,,u13e1,1,,,,,,,,,,,,,,,t13f1,1,,,,m13m1,1,,3z11
O2
29 30 l3o1,1,,,,v3e1,1,,,,,,,,,,,,,,,u3f1,1,,,,n... | 19 21 1,,,,,,j3g1,1,,,l3e1,1,,,,,,i3h1,1,e3l1,1 | {"train":[{"input":[[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],[3,1,1,1,1,1,1,1,1,1,1,1,1,3,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,3,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1... | 0 | [[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],[3,3,3,3,3,3,3,3,3,3,3,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1]... | dataset=solve_gravity group=gravity_draw_right_to_left predict=image earlier_prediction=repair_1_bad_pixel image_width=large image_height=large task_pixels=e |
Simon-Solve-V1, O5T, predict image | I0
8 6 7,4f7,7,c74b7,b74c7,e747
O0
16 4 6,a67b67b67b676,697a697a697a6976,a6a9a6a9a6a9a6a9
I1
10 5 d74b74,7,,g747,7
O1
12 4 6,a67b67b676,697a697a6976,a6a9a6a9a6a9
I2
8 8 4f7,7,c74b7,7,,,,
O2
8 4 6,a67b676,697a6976,a6a9a6a9
I3
13 9 7,,g74c7,7,,,,k74,7
O3
8 4 6,a67b676,697a6976,a6a9a6a9
I4T
11 3 i74,c7a4d7,7
O4T
None
I5T
... | 4 4 6,a676,6976,a6a9 | {"train":[{"input":[[7,7,7,7,7,7,7,7],[4,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7],[7,7,7,7,4,7,7,7],[7,7,7,4,7,7,7,7],[7,7,7,7,7,7,4,7]],"output":[[6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6],[6,6,7,6,6,6,7,6,6,6,7,6,6,6,7,6],[6,9,7,6,6,9,7,6,6,9,7,6,6,9,7,6],[6,6,9,9,6,6,9,9,6,6,9,9,6,6,9,9]]},{"input":[[7,7,7,7,7,4,7,7,7,4],[7,7,7,7,7,... | 1 | dataset=solve_count group=count_pixels_and_repeat_output_pattern repeat_x predict=image earlier_prediction=none image_width=medium image_height=small task_pixels=b | |
simonsolveversion1, 'O6T', predict the image | I0
4 4 64a6,54a7,6167,b67
O0
4 4 4,46a4,4,6
I1
6 5 6b9a6,b9679,b9696,c6a9,a6c9
O1
6 5 4,,b6b4,6,
I2
4 6 2323,2432,29a2,32a3,3493,2a32
O2
4 6 4,a464,64a6,46a4,4,4a64
I3
4 5 8,,,,
O3
4 5 4,,,6,
I4
5 6 c84,b848,a8348,584a8,7,8
O4
5 6 4,,a64a6,4c6,4,
I5T
5 5 0,,,,
O5T
None
I6T
5 4 2c0,954a5,04b0,065a0
O6T
None | 5 4 4,,46b4,6a4a6 | {"train":[{"input":[[6,4,6,6],[5,4,7,7],[6,1,6,7],[6,6,6,7]],"output":[[4,4,4,4],[4,6,4,4],[4,4,4,4],[6,6,6,6]]},{"input":[[6,9,9,9,6,6],[9,9,9,6,7,9],[9,9,9,6,9,6],[6,6,6,6,9,9],[6,6,9,9,9,9]],"output":[[4,4,4,4,4,4],[4,4,4,4,4,4],[6,6,6,4,4,4],[6,6,6,6,6,6],[6,6,6,6,6,6]]},{"input":[[2,3,2,3],[2,4,3,2],[2,9,2,2],[3,2... | 1 | dataset=solve_half group=half_top_all8 predict=image earlier_prediction=none image_width=small image_height=small task_pixels=a | |
Simon-Solve-Version1 predict image for 'O3T' | I0
6 8 5d2,2,b2525,a54212,24a212,,4c25,4a2a52
O0
6 8 524a25,a25b2,2,25b25,12a542,1a24a2,,254b2
I1
8 10 2474a2a4,4a7a2624,26476747,d4727,2a4a7276,7a464247,767a27a2,46764727,74246472,474242a4
O1
8 10 b474242,a42474a2,2a4a7a26,47264767,27d47,762a4a72,4a7a4642,a2767a27,27467647,72742464
I2T
10 6 c06d0,b06e0,,a06a04c0,c0804... | 6 7 7,81b75,1a7825,5a7217,5a72a7,a72b7,7 | {"train":[{"input":[[5,2,2,2,2,2],[2,2,2,2,2,2],[2,2,2,5,2,5],[5,5,4,2,1,2],[2,4,2,2,1,2],[2,4,2,2,1,2],[4,2,2,2,2,5],[4,2,2,5,5,2]],"output":[[5,2,4,2,2,5],[2,2,5,2,2,2],[2,2,2,2,2,2],[2,5,2,2,2,5],[1,2,5,5,4,2],[1,2,2,4,2,2],[1,2,2,4,2,2],[2,5,4,2,2,2]]},{"input":[[2,4,7,4,2,2,4,4],[4,7,7,2,2,6,2,4],[2,6,4,7,6,7,4,7]... | 1 | [[7,7,7,7,7,7],[8,7,7,7,7,5],[1,7,1,8,2,5],[5,7,7,1,2,7],[5,7,7,2,7,7],[7,7,2,7,7,7],[7,7,7,7,7,7]] | dataset=solve_translate group=translate_xplus2yplus1 predict=image earlier_prediction=output_distort_1steps_10percent image_width=small image_height=small task_pixels=a |
SIMON-SOLVE-VERSION1 predict image for O4T | I0
1 8 6,,2,,,,,
O0
2 4 6,2,,
I1
4 8 3,,3085,,31a8,,0a83,
O1
8 4 3,a3a0a8a5,a3a1c8,a0c8a3
I2
4 10 a6a9,,6939,,9a13,,7b6,,7696,
O2
8 5 c6c9,a6a9a3a9,a9c1a3,a7e6,a7a6a9a6
I3T
5 4 c91,,a9b1,
O3T
None
I4T
2 4 37,,,
O4T
None | 4 2 a3a7, | {"train":[{"input":[[6],[6],[2],[2],[2],[2],[2],[2]],"output":[[6,6],[2,2],[2,2],[2,2]]},{"input":[[3,3,3,3],[3,3,3,3],[3,0,8,5],[3,0,8,5],[3,1,8,8],[3,1,8,8],[0,8,8,3],[0,8,8,3]],"output":[[3,3,3,3,3,3,3,3],[3,3,0,0,8,8,5,5],[3,3,1,1,8,8,8,8],[0,0,8,8,8,8,3,3]]},{"input":[[6,6,9,9],[6,6,9,9],[6,9,3,9],[6,9,3,9],[9,1,1... | 1 | dataset=solve_scale group=scale_x2up_y2down predict=image earlier_prediction=none image_width=small image_height=small task_pixels=a | |
Simon-Solve-Version1 'O5T' predict the image | I0
16 5 38g36d3,3,m303,h39e3,h38e3
O0
16 5 38f396b303,h38e3,3,,
I1
23 17 3,,c38q3,u37,3,,h37l3,3,,,,,,,,d36p3,3
O1
23 17 c386b37k37,3,,,,,,,,,,,,,,,
I2
28 12 3,,,,,p34i3,3,,,c307u3,3,
O2
28 12 c307j34i3,3,,,,,,,,,,
I3
14 6 f3439c3,3,,,c3830f3,3
O3
14 6 c3830439c3,3,,,,
I4T
28 19 3,,,g34r3,3,,,,,,,,,,,,j35o3,3,
O4T
None... | 17 29 a38a38b349b31a3,3,,,,,,,,,,,,,,,,,,,,,,,,,,, | {"train":[{"input":[[3,8,3,3,3,3,3,3,3,3,6,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,0,3],[3,3,3,3,3,3,3,3,3,9,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,8,3,3,3,3,3,3]],"output":[[3,8,3,3,3,3,3,3,3,9,6,3,3,3,0,3],[3,3,3,3,3,3,3,3,3,8,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,... | 1 | [[3,3,8,3,8,3,3,3,3,4,9,3,3,3,1,3,3],[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],[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,... | dataset=solve_gravity group=gravity_move_bottom_to_top predict=image earlier_prediction=output_distort_1steps_10percent image_width=large image_height=large task_pixels=d |
Simon-Solve-Version1 predict image for 'O5T' | I0
11 11 2,,,,,,2c3e2,,2a5a3e2,2a3a5e2,2
O0
4 8 3,,a5a3,a3a5,a5a3,a3a5,3,
I1
10 5 2,,b267d2,b2a6d2,2
O1
2 4 67,6,,76
I2
11 10 2,,,,,,e2687a2,e2863a2,e2a49a2,2
O2
3 6 687,863,a49,9a4,368,786
I3
20 14 2,,,,,g2a540g2,g2a406g2,g28108g2,g25a08g2,2,,,,
O3
4 8 a540,a406,8108,5a08,8a05,8018,60a4,04a5
I4
10 10 2,,,,,,,25g2,a26f... | 4 8 9,3095,5925,93a2,a239,5295,5903,9 | {"train":[{"input":[[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],[2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2],[2,3,3,3,3,2,2,2,2,2,2],[2,3,3,3,3,2,2,2,2,2,2],[2,5,5,3,3,2,2,2,2,2,2],[2,3,3,5,5,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2]],"output":[[3,3,3,3],[3,3,3,3],[5,5,... | 0 | dataset=solve_symmetry group=square vstack(orig 180) padded predict=image 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 166
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 167
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 168
Only these datasets.
dataset_solve_boundingbox.jsonldataset_solve_rectangle.jsonl
Versin 169
Enabled all the _solve_ datasets.
Version 170
Regenerated all the _solve_ datasets with new seed.
Version 171
Regenerated all the _solve_ datasets with new seed.
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