Datasets:

neoneye
/

simon-arc-combine-v183

instruction stringclasses 397 values	input stringlengths 96 4.25k	output stringlengths 1 929	arc_task stringlengths 207 13.6k	test_index int64 0 1	benchmark stringclasses 305 values
simon-solve-v1, 'O3T', predict the raw pixels	I0 16 14 4,,,k41b4,4,,j48c4,b47k4,4,,i40d4,4,n47,4 O0 16 14 5,,,,c5j15,,,,,,,,5, I1 13 7 i4346,1k4,4,,g46c4,4, O1 13 7 5,5j15,,,5,, I2 15 6 b40j4,4,,,d46a48b40a4,6m4 O2 15 6 5,5j1b5,,,,5 I3T 12 18 4,i474,h47a4,4,,f46c4,4,,,,,,,,,d49e4,4, O3T None	555555555555 555555555555 555555111155 555555111155 555555111155 555555111155 555555111155 555555111155 555555111155 555555111155 555555111155 555555111155 555555111155 555555111155 555555111155 555555555555 555555555555 555555555555	{"train":[{"input":[[4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,1,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,8,4,4,4,4],[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...	0	dataset=solve_boundingbox group=boundingbox_of_lonely_pixels filled_inner predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
SIMONSOLVEVERSION1 'O4T' predict the pixels	I0 12 40 e1b31a3,1313b13c1,a13a1313c1,b13g1,13d13c1,d13c131,c13a13c1,d1a3d1,d13d13,d13e1,a13c1a3b1,13d13c1,e1313a13,i131,131313e1,1,1313g1,h1a31,3f1a3a1,d1b31b3,494d94a94,b94d94a9,b94c9a4a9,d94b94a9,d94e9,i9a4,d949494a9,d94e9,94b9a4d9,94b9a4a94a9,9,h94a9,94i9,949a4a9494a9,9,b494a949494,494c9494a9,94g949,c9a4c949,9 O0 1...	555555555555 885555558558 555555555558 555855555555 585555588585 555555555558 555555855588 555888585555 555885855585 555555585558 555555555555 555585855555 558558585558 555555555585 558555585555 555585555855 855555555555 855555555855 555555585585 558555555858 558855555585	{"train":[{"input":[[1,1,1,1,1,1,3,3,3,1,3,3],[1,3,1,3,1,1,1,3,1,1,1,1],[1,1,3,1,1,3,1,3,1,1,1,1],[1,1,1,3,1,1,1,1,1,1,1,1],[1,3,1,1,1,1,1,3,1,1,1,1],[1,1,1,1,1,3,1,1,1,1,3,1],[1,1,1,1,3,1,1,3,1,1,1,1],[1,1,1,1,1,3,3,1,1,1,1,1],[1,1,1,1,1,3,1,1,1,1,1,3],[1,1,1,1,1,3,1,1,1,1,1,1],[1,1,3,1,1,1,1,3,3,1,1,1],[1,3,1,1,1,1,1...	0	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=medium image_height=other task_pixels=d
Simon-Solve-V1 predict raw pixels for 'O4T'	I0 4 17 b17,1,,7b1,,1,7b1,,,a171,1,,17a1,1,,71a7,1a71 O0 4 17 b71,7,,1b7,,7,1b7,,,a717,7,,71a7,7,,17a1,7a17 I1 17 4 454c5a4545454a5,4a54c54a5b45a4,b4e5b4a5454,5b45c4a5b4a54 O1 17 4 545c4a5454545a4,5a45c45a4b54a5,b5e4b5a4545,4b54c5a4b5a45 I2 4 26 b19,9b1,19a1,1919,a191,b91,a9a1,b91,1b9,a191,19a1,9191,a9a1,9,,,1,1b9,a9a1...	77777773777777 77773773737777 77777377777777 77377377777377 77373777773337 37777773777377 37777373377377 77777777777777 77777773737777 77737777777777 77777377773777 77733737773733 77773773737777 77773777777777 37337737777377 33777777773733 77377777773777 77777777777777 77737777337773 73777737377773 77377773777777	{"train":[{"input":[[1,1,1,7],[1,1,1,1],[1,1,1,1],[7,1,1,1],[7,1,1,1],[1,1,1,1],[7,1,1,1],[7,1,1,1],[7,1,1,1],[1,1,7,1],[1,1,1,1],[1,1,1,1],[1,7,1,1],[1,1,1,1],[1,1,1,1],[7,1,7,7],[1,7,7,1]],"output":[[7,7,7,1],[7,7,7,7],[7,7,7,7],[1,7,7,7],[1,7,7,7],[7,7,7,7],[1,7,7,7],[1,7,7,7],[1,7,7,7],[7,7,1,7],[7,7,7,7],[7,7,7,7]...	1	dataset=solve_color group=swap_colors predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c
simonsolvev1, O5T, predict raw pixels	I0 31 13 7a3b73a7a3a7a38d73d73b7,c7a37373a7a378n7,3a737a37a37b378c7a3h7,7d3b7a373a78b73b73f7,c7d37b3a78n7,a373a7b37a37a38d73h7,c73b737a37378d73h7,c3a7a37a37a378b73j7,7373a7a3a73c78j73b7,b7a3e7a3a7837373a73b73b7,3a7d3a7b3a787a3e73d7,37b37d37b38d73h7,a73a7373e738n7 O0 15 13 0a9a0a9a0b90a9,c0a90909a0a90,9a0a9090a90b90,0a9...	00909909900000099009 90990900990009099000 09009909099990099990 00999009900909099090 99090990900000990900 00009090990909090090 09900090009099090090 90909990900900900999 99990090900009009099 90099000900090990999 99900090900900999909 00000900009990090000 99909009009990000009 90900990090000009009 09000999090990900000 09999...	{"train":[{"input":[[7,3,3,7,7,7,3,7,7,3,3,7,7,3,3,8,7,7,7,7,7,3,7,7,7,7,7,3,7,7,7],[7,7,7,7,3,3,7,3,7,3,7,7,3,3,7,8,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[3,7,7,3,7,3,3,7,3,3,7,3,3,3,7,8,7,7,7,7,3,3,7,7,7,7,7,7,7,7,7],[7,3,3,3,3,3,7,7,7,3,3,7,3,7,7,8,7,7,7,3,7,7,7,3,7,7,7,7,7,7,7],[7,7,7,7,3,3,3,3,3,7,3,3,3,7,7,8,7,7,7,7,7,7...	1	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=other image_height=large task_pixels=d
SIMONSOLVEVERSION1, O3T, predict raw pixels	I0 9 5 c8a92a9,c82c9,,8, O0 5 3 a91a9,1c9, I1 5 14 8,,b9a8,a29a8,b9a8,,292a8,a29a8,929a8,9a2a8,8,,, O1 3 8 9,a19,9,,191,a19,919,9a1 I2 13 9 8,,,,a8b9a2929b8,a8c92b9b8,,a8g9b8,a8a92a9a29b8 O2 8 5 b9a1919,c91b9,,9,a91a9a19 I3T 13 5 b8a92a9d8,b82a929d8,b82c9d8,8, O3T None I4T 12 9 8,,d8929c8,d8b9c8,d8929c8,d8a29c8,8,, O4T...	99199 19919 19999	{"train":[{"input":[[8,8,8,8,9,9,2,9,9],[8,8,8,8,2,9,9,9,9],[8,8,8,8,2,9,9,9,9],[8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8]],"output":[[9,9,1,9,9],[1,9,9,9,9],[1,9,9,9,9]]},{"input":[[8,8,8,8,8],[8,8,8,8,8],[9,9,9,8,8],[2,2,9,8,8],[9,9,9,8,8],[9,9,9,8,8],[2,9,2,8,8],[2,2,9,8,8],[9,2,9,8,8],[9,2,2,8,8],[8,8,8,8,8],[8,8,8,8,...	0	dataset=solve_color group=replace_color_same_palette crop predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
simon-solve-version1 predict raw pixels for O3T	I0 27 9 a13b1b31a318g1a3b1,d1c313a18d13a1a3b1,f13a13a18a313a1313a1a3,c1e3b18a1b31a3b131,313d1a3b183b131313b13,a13c13b1a381313a1b3a131,3a13b1a3b138a1d3131b3,313a13a13131383a13b1a3a131,1c31a3a131383d1313c1 O0 13 9 a34b3a43b43,e3a43a4a3,a434a3b43b4,a3a434a3a4343,a343434a34a34,3b4a3434b34,4343c4a3a43,a3a43434a3b4,d4a3a4343...	433433434434433 344433334344343 433443444433344 433444343343333 434343333333433 334343433433334	{"train":[{"input":[[1,1,3,1,1,1,3,3,3,1,3,3,1,8,1,1,1,1,1,1,1,1,3,3,1,1,1],[1,1,1,1,1,3,3,3,3,1,3,1,1,8,1,1,1,1,1,3,1,1,3,3,1,1,1],[1,1,1,1,1,1,1,3,1,1,3,1,1,8,3,3,1,3,1,1,3,1,3,1,1,3,3],[1,1,1,1,3,3,3,3,3,3,1,1,1,8,1,1,3,3,3,1,3,3,1,1,1,3,1],[3,1,3,1,1,1,1,1,3,3,1,1,1,8,3,1,1,1,3,1,3,1,3,1,1,1,3],[1,1,3,1,1,1,1,3,1,1...	1	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=other image_height=medium task_pixels=c
simonsolveversion1, 'O3T', predict the raw pixels	I0 14 20 4,,,,b4h1a4,b41f41a4,,,b41c46761a4,b41b476471a4,b41b467a41a4,b41c47641a4,b41f41a4,,b4h1a4,4,,,, O0 14 20 4,,,,b4h1a4,,,,b4c146761a4,b4c176471a4,b4c167a41a4,b4c147641a4,b4h1a4,,,4,,,, I1 14 22 4,,,,,,b4h1a4,b41f41a4,,,,b41d4641a4,b41e471a4,b41d4671a4,b41f41a4,,,,b4h1a4,4,, O1 14 22 4,,,,,,b4h1a4,,,,,b4e1641a4,b...	44444444444444444 44444444444444444 44444444444444444 44444444444444444 44444444444444444 44411111111114444 44411111111114444 44411111764614444 44411111467414444 44411111476714444 44411111111114444 44444444444444444	{"train":[{"input":[[4,4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,1,1,1,1,1,1,1,1,1,4,4],[4,4,4,1,4,4,4,4,4,4,4,1,4,4],[4,4,4,1,4,4,4,4,4,4,4,1,4,4],[4,4,4,1,4,4,4,4,4,4,4,1,4,4],[4,4,4,1,4,4,4,4,6,7,6,1,4,4],[4,4,4,1,4,4,4,7,6,4,7,1,4,4],...	0	dataset=solve_boundingbox group=boundingbox_inner simple_fill predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=d
simonsolveversion1, O2T, predict raw pixels	I0 16 11 71b71b717a17a1,71a71a7b1b7a17,7b1a717921a71a7,171b719710a1b7,71b7a19b70c7,b1a7197c1a7a1,a1b719a717c17,a1b797a1717c1,a17a1971b71a7a1,b179c17c171,717a1a7a17a17a17 O0 16 11 2,,,,,,,,,, I1 11 24 c76727b6,2a7620a70a6,206a0a7a0a7,b706a7b67,a72702b3a7,0a6a7367206,762076a7026,a732760a606,2632a7262a6,a637270a762,76372a...	777777777777777777777777 777777777777777777777777 777777777777777777777777 777777777777777777777777 777777777777777777777777 777777777777777777777777 777777777777777777777777	{"train":[{"input":[[7,1,7,7,7,1,7,7,7,1,7,1,1,7,1,1],[7,1,7,7,1,7,7,1,1,1,7,7,7,1,1,7],[7,1,1,1,7,7,1,7,9,2,1,7,7,1,7,7],[1,7,1,7,7,7,1,9,7,1,0,1,1,7,7,7],[7,1,7,7,7,1,1,9,7,7,7,0,7,7,7,7],[1,1,1,7,7,1,9,7,1,1,1,1,7,7,1,1],[1,1,7,7,7,1,9,7,7,1,7,1,1,1,1,7],[1,1,7,7,7,9,7,1,1,7,1,7,1,1,1,1],[1,1,7,1,1,9,7,1,7,7,7,1,7,7...	0	dataset=solve_color group=mostleast_popular_color least_popular same predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c
simonsolvev1, O4T, predict raw pixels	I0 28 11 b5a0a50e51b71f7a1,a0d50c505b7a1b71717a1,i50b51a71b71e7,a5050h51b7171d717,0a5a0d5a0a517d17171717,0b50a5a0d5a7171a7171a7a1,e50a5a05051a7171c7a171,a50f50b5b7a17a171a717,d5050e5c71d717a1,f50e571e7a1a7a1,f5050c51b7b17a17a17 O0 14 11 2a42b42c4a2,a24a2a4a242a42,2a42b42a42b4,242b42d424,a42a4a242a4a24,242d4a2a4a2,2a424...	22444444444 44242424424 44244422224 42224244442 24444244244 24222224424 44442242424 44222424224 22442422442 42224224244 22424224444 42442242224 22424242244	{"train":[{"input":[[5,5,5,0,0,5,5,0,5,5,5,5,5,5,1,7,7,7,1,7,7,7,7,7,7,7,1,1],[0,0,5,5,5,5,5,0,5,5,5,5,0,5,7,7,7,1,1,7,7,7,1,7,1,7,1,1],[5,5,5,5,5,5,5,5,5,5,0,5,5,5,1,7,7,1,7,7,7,1,7,7,7,7,7,7],[5,5,0,5,0,5,5,5,5,5,5,5,5,5,1,7,7,7,1,7,1,7,7,7,7,7,1,7],[0,5,5,0,0,5,5,5,5,5,0,0,5,5,1,7,1,1,1,1,1,7,1,7,1,7,1,7],[0,5,5,5,0...	0	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=other image_height=large task_pixels=e
simon-solve-version1 predict raw pixels for O4T	I0 11 25 3,b37f3,7f37a3,37a3a7c37,a37g3,a3737a373a7,a37b37c3,7a3737d3,g37a3,3a737d37,37f373,c37e3,5,3a7f37,7f37a3,i37,a7b37b373,c3a7b373,e37c3,7a37c3737,e37b37,e37a373,e3a7b3,b37f3, O0 11 12 3a6f36,6a36c36a3,6f3636,6b36c3a6,a363a6b363,a36363a63a6,63a6a363636,6a363a6b36,e363a63,3a6363a6a36,3636d363,b3a6e3 I1 12 5 d3737c...	33336636363 63363666636 63333633363 36663636363 36333366333 36366333366	{"train":[{"input":[[3,3,3,3,3,3,3,3,3,3,3],[3,3,3,7,3,3,3,3,3,3,3],[7,3,3,3,3,3,3,3,7,3,3],[3,7,3,3,7,7,3,3,3,3,7],[3,3,7,3,3,3,3,3,3,3,3],[3,3,7,3,7,3,3,7,3,7,7],[3,3,7,3,3,3,7,3,3,3,3],[7,3,3,7,3,7,3,3,3,3,3],[3,3,3,3,3,3,3,3,7,3,3],[3,7,7,3,7,3,3,3,3,3,7],[3,7,3,3,3,3,3,3,3,7,3],[3,3,3,3,7,3,3,3,3,3,3],[5,5,5,5,5,5...	0	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=medium image_height=other task_pixels=d
Simon-Solve-Version1 predict raw pixels for O3T	I0 18 14 8,,,,a8l4b8,a84b86f84b8,a84b896e84b8,a84b86a9d84b8,a84j84b8,,a8l4b8,8,, O0 18 14 8,,,,a8l4b8,a8c46a8e4b8,a8c4968e4b8,a8c46a9e4b8,a8l4b8,,,8,, I1 18 18 8,,,,8n4a8,84l84a8,,,,84g89c84a8,84e8969c84a8,84f896c84a8,84d869a6c84a8,84l84a8,8n4a8,8,, O1 18 18 8,,,,8n4a8,,,,,8e4b89d4a8,8e48969d4a8,8e4a896d4a8,8e469a6d4a8...	88888888888888 88888888888888 88844444444448 88844444444448 88844444444448 88844444444448 88844444444448 88844448968948 88844449668848 88844448896648 88844446889948 88844444444448 88844444444448 88844444444448 88844444444448 88844444444448 88844444444448 88888888888888 88888888888888 88888888888888	{"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],[8,8,4,4,4,4,4,4,4,4,4,4,4,4,4,8,8,8],[8,8,4,8,8,8,6,8,8,8,8,8,8,8,4,8,8,8],[8,8,4,8,8,8,9,6,8,8,8,8,8,8,4,8,8,8],[8,8,4,8,8,8,6,9,9,8,8,8,8,8,4,8,8...	1	dataset=solve_boundingbox group=boundingbox_inner simple_fill predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=d
Simon-Solve-Version1 'O3T' predict the raw pixels	I0 4 40 6b1,1,,,6b1,1a61,1,,,,,a161,1,,a161,1,,,16a1,6b1,84a8,a848,8,,,,,84a8,8,b84,8,,4b8,8,,,84a8,,8,a848 O0 4 20 a4a9,a949,9,,4b9,9a49,9,94a9,9,b94,9,a949,4b9,9,a949,9,94a9,,,4949 I1 7 4 16d1,b616a1,d848,4848a48 O1 7 2 94b949, I2 2 8 1,16,,1,84,8,,48 O2 2 4 94,,,49 I3T 15 42 a6a1d6161a61,b161a616a1c6,616b161a6b1a6,1...	444994449449444 999444494994449 999949444999994 449499944999999 449499449449999 949999449444449 944494449944449 999944444449944 949944994444494 499994494994499 994994994949999 944499449944449 949999449949944 449449999999499 999944499994449 449949944944994 444944999444494 999494949994499 994499494494449 994944944994944 ...	{"train":[{"input":[[6,1,1,1],[1,1,1,1],[1,1,1,1],[1,1,1,1],[6,1,1,1],[1,6,6,1],[1,1,1,1],[1,1,1,1],[1,1,1,1],[1,1,1,1],[1,1,1,1],[1,1,6,1],[1,1,1,1],[1,1,1,1],[1,1,6,1],[1,1,1,1],[1,1,1,1],[1,1,1,1],[1,6,1,1],[6,1,1,1],[8,4,8,8],[8,8,4,8],[8,8,8,8],[8,8,8,8],[8,8,8,8],[8,8,8,8],[8,8,8,8],[8,4,8,8],[8,8,8,8],[8,8,8,4],...	0	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=medium image_height=other task_pixels=c
SIMON-SOLVE-VERSION1 predict raw pixels for O3T	I0 15 18 5,,,,5g3e5,53e53e5,,,,535252753e5,53a752a53e5,53e53e5,5g3e5,5,,,, O0 15 18 5,,,,5g3e5,,,,,5352527a3e5,53a7525a3e5,5g3e5,,5,,,, I1 15 16 5,,,,b5g3c5,b5352a5253c5,b53b5a253c5,b535b7a53c5,b535725753c5,b53e53c5,,b5g3c5,5,,, O1 15 16 5,,,,b5g3c5,b5a32a52a3c5,b5a3a5a2a3c5,b5a3b75a3c5,b5a37257a3c5,b5g3c5,,,5,,, I2T 1...	55555555555555 55533333333555 55533333333555 55533333333555 55533333333555 55533333333555 55533333333555 55533573333555 55533573333555 55533223333555 55533333333555 55533333333555 55533333333555 55533333333555 55533333333555 55555555555555 55555555555555 55555555555555 55555555555555 55555555555555 55555555555555	{"train":[{"input":[[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,3,3,3,3,3,3,3,3,5,5,5,5,5,5],[5,3,5,5,5,5,5,5,3,5,5,5,5,5,5],[5,3,5,5,5,5,5,5,3,5,5,5,5,5,5],[5,3,5,5,5,5,5,5,3,5,5,5,5,5,5],[5,3,5,5,5,5,5,5,3,5,5,5,5,5,5],[5,3,5,2,5,2...	1	dataset=solve_boundingbox group=boundingbox_inner simple_fill predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=d
simon-solve-version1 predict pixels for O4T	I0 17 13 4b3a4a3434c343,434a3a4343b43b4,343434d343a434,4a3a4a34b34b3a4,343a4k3,3d4e34c3,9,3,a34i34a34,a3434a34h3,34n3,34c34i3,g34g3 O0 17 6 9b8a9a8989c898,9c8a9898e98,8d989b898a989,a98a9a89b89b8a9,b8a989i8,8d9a89b89c8 I1 10 33 a4e343,a3a4b34a3,a34a3b434,b434b3a4,b3c4a34,a3a4a34b3,e34343,,a4c34b3,c3c434,c3434343,a343434...	98888 98999 98999 88998 98888 99888 88998 98899 88998 88988	{"train":[{"input":[[4,3,3,3,4,4,3,3,4,3,4,3,3,3,3,4,3],[4,3,4,3,3,4,4,3,4,3,4,4,4,3,4,4,4],[3,4,3,4,3,4,3,3,3,3,3,4,3,4,4,3,4],[4,3,3,4,4,3,3,4,3,3,3,4,3,3,3,4,4],[3,4,3,4,4,3,3,3,3,3,3,3,3,3,3,3,3],[3,4,4,4,4,4,3,3,3,3,3,3,4,3,3,3,3],[9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,4,3,3,3...	1	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=medium image_height=other task_pixels=c
simonsolvev1, 'O3T', predict the pixels	I0 9 14 4,,,,,,c4616a4,c4a61a4,c41a6a4,c46a1a4,c4a61a4,4,, O0 3 5 626,a62,2a6,6a2,a62 I1 9 14 4,,,a4b6a1a4,a4d6a4,,a4a6a16a4,a4d6a4,a46a161a4,a4d6a4,4,,, O1 5 7 b6a2,6,,a6a26,6,6a262,6 I2 13 9 4,,,,a41b6a16c4,a4a6c16c4,a4a61a6a1c4,4, O2 7 3 2b6a26,a6c26,a62a6a2 I3T 9 12 4,,c4616a4,c4a61a4,c4616a4,,c41a6a4,c4b6a4,c4616a...	626 662 626 626 266 666 626 662	{"train":[{"input":[[4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4],[4,4,4,4,6,1,6,4,4],[4,4,4,4,6,6,1,4,4],[4,4,4,4,1,6,6,4,4],[4,4,4,4,6,1,1,4,4],[4,4,4,4,6,6,1,4,4],[4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4]],"output":[[6,2,6],[...	0	dataset=solve_color group=replace_color_same_palette crop predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
simon-solve-version1, 'O4T', predict the raw pixels	I0 9 11 8,,5g8,8,,a80e8,8,,,f848,8 O0 9 11 7,,,7e6a7,,,,,,7, I1 22 6 6t8,p87c8,s838,8,c86p8,8 O1 22 6 7,7r6a7,,,7, I2 9 18 8,,,,,,,,,,,,,2g8,85f8,8,,d83b8 O2 9 18 7,,,,,,,,,,,,,,7c6c7,,,7 I3T 21 10 8,i87i8,8,,a83e86j8,8,,,, O3T None I4T 21 7 8,,,i83h87,8,,g86k8 O4T None	777777777777777777777 777777777777777777777 777777777777777777777 777777777777777777777 777777777666666666667 777777777666666666667 777777777777777777777	{"train":[{"input":[[8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8],[5,8,8,8,8,8,8,8,8],[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],[8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,4,8],[8,8,8,8,8,8,8,8,8]],"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],[7,6,6,6,...	1	dataset=solve_boundingbox group=boundingbox_of_lonely_pixels filled_inner predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=c
simon-solve-v1 'O3T' predict the pixels	I0 18 18 6,b62a7b2a7a2a7b6,b67b27a272727b6,b6a27g27b6,b627c2727b2b6,b62d72727a2b6,b6b7c27b27b6,b6a27h2b6,b627b27b2727b6,b67a272727a2a7b6,b67a2b7a27b2b6,b6a7a2727b272b6,b672d7c27b6,b62a7b2a7a272b6,b6a7c2a72727b6,6,, O0 12 14 7a2b7a2a7a2,2b72a727272,a72g72,72c7272b7,7d27272a7,b2c72b72,a72h7,72b72b7272,2a727272a7a2,2a7b2a...	444442 444244 242242 244444 444242	{"train":[{"input":[[6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6],[6,6,6,2,7,7,2,2,2,7,7,2,2,7,7,6,6,6],[6,6,6,7,2,2,2,7,2,2,7,2,7,2,7,6,6,6],[6,6,6,2,2,7,2,2,2,2,2,2,2,2,7,6,6,6],[6,6,6,2,7,2,2,2,2,7,2,7,2,2,2,6,6,6],[6,6,6,2,7,7,7,7,7,2,7,2,7,2,2,6,6,6],[6,6,6,7,7,7,2,2,2,2,7,2,2,2,7,6,6,6],[6,6,6,2,2,7,2,2,2,2,2,2,2,2,2,6,6...	0	dataset=solve_color group=replace_color_different_palettes crop palette_h predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=c
Simon-Solve-Version1 'O2T' predict the pixels	I0 3 29 9,,9a8,9,,,a89,8a9,a98,989,898,9,989,a89,7,a89,898,a89,,,,a98,8a9,a98,9a8,,9,8a9,a98 O0 3 14 a38,383,,a38,,,3,8,,a83,a38,8,a38,3 I1 16 5 b9b8b9b89898,8a989a89a89a8b9,7,b8a98b98d98,c98d98a98a9 O1 16 2 d3d8a383a8,3a8c38e3a8 I2T 5 37 a98a9,8c9,98b9,8c9,b989,c98,8a9a8,b989,8c9,98b9,b8a9,89898,98a98,b989,b9a8,a98a9,...	88388 38888 83388 88838 83338 88833 83838 88833 88333 38838 83333 33333 88383 38833 83833 38388 38333 38383	{"train":[{"input":[[9,9,9],[9,9,9],[9,8,8],[9,9,9],[9,9,9],[9,9,9],[8,8,9],[8,9,9],[9,9,8],[9,8,9],[8,9,8],[9,9,9],[9,8,9],[8,8,9],[7,7,7],[8,8,9],[8,9,8],[8,8,9],[8,8,9],[8,8,9],[8,8,9],[9,9,8],[8,9,9],[9,9,8],[9,8,8],[9,8,8],[9,9,9],[8,9,9],[9,9,8]],"output":[[3,3,8],[3,8,3],[3,8,3],[3,3,8],[3,3,8],[3,3,8],[3,3,3],[...	0	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=medium image_height=other task_pixels=b
SIMON-SOLVE-VERSION1, O3T, predict raw pixels	I0 9 18 3,,,,,b3d43,,,,b31c43,b34a1a43,b3c413,b3a41a43,b31c43,,b3c143,b3c413,3 O0 9 18 3,,,,,,,,,b34d3,c3a4b3,f343,d34b3,b34d3,,b3c4a3,f343,3 I1 18 11 3,,,,,3i464d3,3b46b46c4d3,36d4a646a4d3,3a4646a46c4d3,3a46e46a4d3,3 O1 18 11 3,,,,,j34e3,c34b34h3,34d3a434f3,b3434a34h3,b34e34f3,3 I2 10 8 3,,347a47c3,3b474c3,34b74c3,3,,...	3333333 3333333 3333333 3344333 3334433 3333433 3344433 3333333 3333433 3343333 3343333 3333333 3343433 3344433 3344433 3333433 3343333 3333333 3333333 3333333 3333333	{"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],[3,3,3,4,4,4,4,4,3],[3,3,3,4,4,4,4,4,3],[3,3,3,4,4,4,4,4,3],[3,3,3,4,4,4,4,4,3],[3,3,3,1,4,4,4,4,3],[3,3,3,4,1,1,4,4,3],[3,3,3,4,4,4,4,1,3],[3,3,3,4,4,1,4,4,3],[3,3,3,1,4,4,4,4,3],[3,3,3,1,4,4,4,4,3],...	0	dataset=solve_color group=replace_color_different_palettes padding palette_e predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=c
simonsolvev1 'O4T' predict the raw pixels	I0 18 8 f85i8,8,,a83d85h8,8,,h804f8,8 O0 18 8 a1h0f1,a10f10f1,,,,,a1h0f1,1 I1 17 7 8,i89e8,8,89b87j8,e87i8,8,o83 O1 17 7 1,1o0,10m10,,,,1o0 I2 17 7 8,i89e8,8,89b87j8,e87i8,8,o83 O2 17 7 1,1o0,10m10,,,,1o0 I3T 19 18 8,,,,,,,m89c8,8,,p868,g80i8,8,,80p8,8,, O3T None I4T 14 15 8,,,,,a85j8,8,e82f8,8,,,,d89g8,8,e83f8 O4T Non...	11111111111111 11111111111111 11111111111111 11111111111111 11111111111111 11000001111111 11011101111111 11011101111111 11011101111111 11011101111111 11011101111111 11011101111111 11011101111111 11011101111111 11000001111111	{"train":[{"input":[[8,8,8,8,8,8,8,5,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,3,8,8,8,8,8,5,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,0,4,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8...	1	dataset=solve_boundingbox group=boundingbox_of_lonely_pixels hollow predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
simon-solve-v1, O3T, predict raw pixels	I0 17 17 20b2020a20202b0,e2a020f2,20a20b202020a202,b0a2b02a0a20a20,02a02c0a2d02,20f2g0,20a20a2b020a2b0,b0a2d020b2a0,1,a585858d5a8585,e58d58c5,a58h58a5a8,58d58c5a8b5,8e58f585,a8i5a8b5,5a85a8j5,5 O0 17 8 9a49c4a94a9a494,f9494a94c9,9a494b9494d94,494a9a4a9a494b94,a9a49a494a9c4a9,4g9b4a9b4,a94a949b494a9b4,b4a9d494b9a4 I1 4 ...	49 94 99 49 99 49 99 94 99 94	{"train":[{"input":[[2,0,2,2,2,0,2,0,2,2,0,2,0,2,0,0,0],[2,2,2,2,2,2,0,0,2,0,2,2,2,2,2,2,2],[2,0,2,2,0,2,2,2,0,2,0,2,0,2,2,0,2],[0,0,0,2,2,0,0,0,2,0,0,2,2,0,2,2,0],[0,2,0,0,2,0,0,0,0,2,2,0,0,0,0,0,2],[2,0,2,2,2,2,2,2,2,0,0,0,0,0,0,0,0],[2,0,2,2,0,2,2,0,0,0,2,0,2,2,0,0,0],[0,0,0,2,2,0,0,0,0,0,2,0,2,2,2,0,0],[1,1,1,1,1,1...	1	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=medium image_height=other task_pixels=c
SIMON-SOLVE-VERSION1 'O2T' predict the pixels	I0 18 14 31b3c1313b1a31,313b13a131a31a313,13e1c3a13b1,a13c13c13b131,b131a3131a3131313,a13b1b3a1a3d1,a1a3131a313c1313,b4b040i4,40o4,d40b40g4,a40c4a0c404b0,0p4,0g40c4b04,c40c40404040a4 O0 18 7 535a35353535b3a53,b5b35a353a53a535,35b35a353a5a35b3,g35b3a53535,5a353a5353a5353535,535b3c53a53b53,a3c53d535b35 I1 17 28 131a3131b...	5333535533 3333533333 3333533535 5553553535 5533533533 3553335335 3333335535 5353555533 3353555335 5333533335 5553355533 3335355533	{"train":[{"input":[[3,1,3,3,3,1,1,1,1,3,1,3,1,1,1,3,3,1],[3,1,3,1,1,1,3,1,1,3,1,3,3,1,3,3,1,3],[1,3,1,1,1,1,1,1,3,3,3,3,1,1,3,1,1,1],[1,1,3,1,1,1,1,3,1,1,1,1,3,1,1,1,3,1],[1,1,1,3,1,3,3,1,3,1,3,3,1,3,1,3,1,3],[1,1,3,1,1,1,3,3,3,1,1,3,3,1,1,1,1,1],[1,1,3,3,1,3,1,3,3,1,3,1,1,1,1,3,1,3],[4,4,4,0,0,0,4,0,4,4,4,4,4,4,4,4,4...	0	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=c
simonsolveversion1 'O4T' predict the pixels	I0 17 3 e63a67f6,6,7j695b6 O0 17 3 n3a6,, I1 15 20 6,g6a1d6,6,,,,,k60a6,6,e62g6,6,,,,,,,,l616,6 O1 15 20 d6i3,,,,,,,,,,,,,,,,,,, I2 8 5 6,c64b6,6,,4b61b6 O2 8 5 e3a6,,,, I3T 3 11 6,,,,,,,,5a6,6,5a6 O3T None I4T 4 12 6,,,,,,,,,6762,6, O4T None	6666 6666 6666 6666 6666 6666 6666 6666 3333 3333 3333 6666	{"train":[{"input":[[6,6,6,6,6,6,3,6,6,7,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6],[7,6,6,6,6,6,6,6,6,6,6,6,9,5,6,6,6]],"output":[[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,6,6],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,6,6],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,6,6]]},{"input":[[6,6,6,6,6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,1,1,6,6,6,6,...	1	dataset=solve_boundingbox group=boundingbox_of_lonely_pixels filled_outer predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
Simon-Solve-Version1, O4T, predict raw pixels	I0 11 3 a9a5a2b5a9,a9b5a2a5a9,a92a5b25a9 O0 11 3 a9a5a4b5a9,a9b5a4a5a9,a94a5b45a9 I1 8 9 a9a52b9,a95a2b9,,a92a5b9,,a9a52b9,a95a2b9,9, O1 8 9 a9a54b9,a95a4b9,,a94a5b9,,a9a54b9,a95a4b9,9, I2 11 10 9,,b952d59,b9a52a5259,b95b2b59,b9f59,,b9a52a5259,9, O2 11 10 9,,b954d59,b9a54a5459,b95b4b59,b9f59,,b9a54a5459,9, I3T 7 8 9,,9...	99999999 99999999 99999999 55599999 54599999 45599999 99999999	{"train":[{"input":[[9,9,5,5,2,2,5,5,5,9,9],[9,9,5,5,5,2,2,5,5,9,9],[9,9,2,5,5,2,2,2,5,9,9]],"output":[[9,9,5,5,4,4,5,5,5,9,9],[9,9,5,5,5,4,4,5,5,9,9],[9,9,4,5,5,4,4,4,5,9,9]]},{"input":[[9,9,5,5,2,9,9,9],[9,9,5,2,2,9,9,9],[9,9,5,2,2,9,9,9],[9,9,2,5,5,9,9,9],[9,9,2,5,5,9,9,9],[9,9,5,5,2,9,9,9],[9,9,5,2,2,9,9,9],[9,9,9,...	1	dataset=solve_color group=replace_color_same_palette padding predict=rawpixels earlier_prediction=none image_width=medium image_height=small task_pixels=b
SIMONSOLVEVERSION1, 'O5T', predict the pixels	I0 40 19 3a53b53h5b3a53a53h53b53,a53h53a53b53g5353a5a3d5,b53d5a3b53b53j53b53535a3,f5a3k5a3f53535a353a5,j53c5a3b5a3a5d3c5353b5,5353b53d53d53e5b3e53c5,a53c53c53f5a3c5a353i5,53g53d535353a53a5a3b5a3d535,c53f53c53g5a3a5a3a53d5,e5b3a5353c53d535a3a53a5353a535,a535353a53a53b53b5b3i5a3b535,q53a5a35a3b53a53a5b3a5,e53b5353d53g53a...	8228228222822222288 2882822282828288822 2888228282882822282 2282888228282828828 8828822282282222228 8882288228888828228 8222288888282282822 2888222222222882288 2288882282222828222 8228828282228882888 2222888282222828282 2288822888222828282 8828282288282888882 2822228822882282888 2822822888282282228 2222288282822822282 ...	{"train":[{"input":[[3,5,5,3,5,5,5,3,5,5,5,5,5,5,5,5,5,3,3,3,5,5,3,5,5,3,5,5,5,5,5,5,5,5,5,3,5,5,5,3],[5,5,3,5,5,5,5,5,5,5,5,5,3,5,5,3,5,5,5,3,5,5,5,5,5,5,5,5,3,5,3,5,5,3,3,5,5,5,5,5],[5,5,5,3,5,5,5,5,5,3,3,5,5,5,3,5,5,5,3,5,5,5,5,5,5,5,5,5,5,5,3,5,5,5,3,5,3,5,3,3],[5,5,5,5,5,5,5,3,3,5,5,5,5,5,5,5,5,5,5,5,5,3,3,5,5,5,5...	1	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=other image_height=medium task_pixels=d
SIMON-SOLVE-VERSION1, 'O3T', predict the raw pixels	I0 21 18 a52c5a2a5a252e5,k52f57,d52c52a5a2c567,d5252j575,c5252f52b5675,52g52a52b567a2,f52h567a5,b52b52c52b567b5,f54a5a2c5a12a5,d524a52c5a1a52a5,d54c525a165a9b5,c5452a5b1a569a5252,c5452a1c5652d5,a5242a1a5a25652e5,254a1e5265a2b525,5412d5256a525b2a5,e5a2b562a52c52,e52b56a2f52 O0 1 1 9 I1 18 30 656a56565b6565656,56a56a525b...	5	{"train":[{"input":[[5,5,2,5,5,5,5,2,2,5,5,2,2,5,2,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,2,5,5,5,5,5,5,5,7],[5,5,5,5,5,2,5,5,5,5,2,5,5,2,2,5,5,5,5,6,7],[5,5,5,5,5,2,5,2,5,5,5,5,5,5,5,5,5,5,5,7,5],[5,5,5,5,2,5,2,5,5,5,5,5,5,5,2,5,5,5,6,7,5],[5,2,5,5,5,5,5,5,5,5,2,5,5,2,5,5,5,6,7,2,2],[5,5,5,5,5,5,5,2,5,5,5,5,5,5,5,5,5,6...	1	dataset=solve_color group=mostleast_popular_color least_popular 1x1 predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c
simon-solve-version1, O3T, predict pixels	I0 18 8 f85i8,8,,a83d85h8,8,,h804f8,8 O0 18 8 a1h0f1,a10f10f1,,,,,a1h0f1,1 I1 17 7 8,i89e8,8,89b87j8,e87i8,8,o83 O1 17 7 1,1o0,10m10,,,,1o0 I2 17 7 8,i89e8,8,89b87j8,e87i8,8,o83 O2 17 7 1,1o0,10m10,,,,1o0 I3T 19 18 8,,,,,,,m89c8,8,,p868,g80i8,8,,80p8,8,, O3T None I4T 14 15 8,,,,,a85j8,8,e82f8,8,,,,d89g8,8,e83f8 O4T Non...	1111111111111111111 1111111111111111111 1111111111111111111 1111111111111111111 1111111111111111111 1111111111111111111 1111111111111111111 1000000000000000001 1011111111111111101 1011111111111111101 1011111111111111101 1011111111111111101 1011111111111111101 1011111111111111101 1000000000000000001 1111111111111111111 ...	{"train":[{"input":[[8,8,8,8,8,8,8,5,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,3,8,8,8,8,8,5,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,0,4,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8...	0	dataset=solve_boundingbox group=boundingbox_of_lonely_pixels hollow predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
simonsolvev1, 'O3T', predict the pixels	I0 3 21 0,,,,,,,,,a05,0,,,,,,,,030,0, O0 3 21 2,,,,,,,,9,,,,,,,,,,,,2 I1 12 7 f05c0,0,b06g0,7j0,0,, O1 12 7 h9b2,,,,,2, I2 11 19 0,,,,,,,i04,0,,,g08a0,0,,,h020,0,,d03d0 O2 11 19 2,,,,,,c2f9,,,,,,,,,,,, I3T 4 9 0,,94a0,0,,,,, O3T None I4T 19 8 0,,,,01l03b0,0,, O4T None	2222 9992 9992 9992 2222 2222 2222 2222 2222	{"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],[0,0,5],[0,0,0],[0,0,0],[0,0,0],[0,0,0],[0,0,0],[0,0,0],[0,0,0],[0,0,0],[0,3,0],[0,0,0],[0,0,0]],"output":[[2,2,2],[2,2,2],[2,2,2],[2,2,2],[2,2,2],[2,2,2],[2,2,2],[2,2,2],[9,9,9],[9,9,9],[9,9,9],[9,9,9],[9,9,9],[9,9,9],[9,9,9],[...	0	dataset=solve_boundingbox group=boundingbox_of_lonely_pixels filled_outer predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=c
SIMON-SOLVE-VERSION1, O3T, predict raw pixels	I0 21 19 5,c5l6c5,c56j56c5,,c56c57572b56c5,c56d5a7c56c5,c56c527a2b56c5,c56c52e56c5,c56j56c5,,,,c5l6c5,5,,,,, O0 21 19 5,c5l6c5,,,c5d67572c6c5,c5d65a75c6c5,c5d627a2c6c5,c5d62b5c6c5,c5l6c5,,,,,5,,,,, I1 15 14 5,,,c5g6b5,c56e56b5,,c56a52b56b5,c56b57a56b5,c56e56b5,,c5g6b5,5,, O1 15 14 5,,,c5g6b5,,,c5b625b6b5,c5b657b6b5,c5g...	55555555555555555 56666666666666665 56666666666666665 56666657556666665 56666655576666665 56666677226666665 56666625256666665 56666622776666665 56666666666666665 56666666666666665 56666666666666665 56666666666666665 55555555555555555 55555555555555555 55555555555555555 55555555555555555 55555555555555555	{"train":[{"input":[[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,6,6,6,6,6,6,6,6,6,6,6,6,6,5,5,5,5],[5,5,5,5,6,5,5,5,5,5,5,5,5,5,5,5,6,5,5,5,5],[5,5,5,5,6,5,5,5,5,5,5,5,5,5,5,5,6,5,5,5,5],[5,5,5,5,6,5,5,5,5,7,5,7,2,5,5,5,6,5,5,5,5],[5,5,5,5,6,5,5,5,5,5,7,7,5,5,5,5,6,5,5,5,5],[5,5,5,5,6,5,5,5,5,2,7,2,2,5,5,5,6,5...	1	dataset=solve_boundingbox group=boundingbox_inner simple_fill predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d
SIMON-SOLVE-VERSION1, 'O3T', predict the raw pixels	I0 12 8 767a6b7c6,76a7b67a676,6f76b7,a7a6b76c7,a76c7b676,b767a6b767,a676c76a76,767a6c7a67 O0 12 4 1c6a16a161,161a6b1c6,1616f16,1a616a161a61 I1 22 6 7676b767676767a67c6,6a7b676c76b76c76,a767a6767a6767c6a7a6,b76d76k7,d76h76e7,c76k76c7 O1 22 3 16d16b16161a61c6,6a1a6a16c16a1a6c16,a16a16161a6161b6b1a6 I2T 21 40 c67a676a76a7...	61161161166616611611 61661616161116166661 61166616616111111166 61166161166116611666	{"train":[{"input":[[7,6,7,6,6,7,7,7,6,6,6,6],[7,6,7,7,6,6,6,7,6,6,7,6],[6,7,7,7,7,7,7,7,6,7,7,7],[7,7,6,6,7,7,7,6,7,7,7,7],[7,7,6,7,7,7,7,6,6,6,7,6],[7,7,7,6,7,6,6,7,7,7,6,7],[6,6,7,6,7,7,7,7,6,7,7,6],[7,6,7,6,6,7,7,7,7,6,6,7]],"output":[[1,6,6,6,6,1,1,6,1,1,6,1],[1,6,1,6,6,1,1,1,6,6,6,6],[1,6,1,6,1,1,1,1,1,1,1,6],[1,...	1	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=large image_height=other task_pixels=c
SIMON-SOLVE-V1 predict pixels for 'O3T'	I0 19 4 l56a50a5,5,o53a5,5 O0 19 4 7,m7a3b7,7, I1 8 20 5,,,,,,,,,,,,,,a58d5,5,c560a5,5,, O1 8 20 7,,,,,,,,,,,,,,,b7a3b7,7,,, I2 19 13 p515,5,,,l51d5,5,,,,e56k5,g51i5,5, O2 19 13 7,f7i3a7,,,,,,,,,7,, I3T 20 11 5,g57i56,5,b56o5,h59i5,5,,,d59m5,5, O3T None	77777777777777777777 77777777777777777777 77773333333333333337 77773333333333333337 77773333333333333337 77773333333333333337 77773333333333333337 77773333333333333337 77777777777777777777 77777777777777777777 77777777777777777777	{"train":[{"input":[[5,5,5,5,5,5,5,5,5,5,5,5,5,6,5,5,0,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,3,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5]],"output":[[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,3,3,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,...	0	dataset=solve_boundingbox group=boundingbox_of_lonely_pixels filled_inner predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
simonsolvev1, O4T, predict raw pixels	I0 4 13 7,57a5,b75,5b7,a7a5,a5a7,a7a5,a575,5b7,7,b57,75a7, O0 4 13 7,87a8,b78,8b7,a7a8,a8a7,a7a8,a878,8b7,7,b87,78a7, I1 13 14 7a17171717171,c717c1717,b1b71d71,17c1a71b71,7c1a7a17b1,a1a71a717c1,d7a17a1b7,c7c171717,17a171a717b1,71a717a1d7,1a7a1b71c7,1a717a17c17,1a7b1b71b7,e1a7b171 O1 13 14 7a87878787878,c787c8787,b8b78d...	888 877 788 787 778 788 787 788 788 877 778 777 877 777 878 778 777 777 778	{"train":[{"input":[[7,7,7,7],[5,7,5,5],[7,7,7,5],[5,7,7,7],[7,7,5,5],[5,5,7,7],[7,7,5,5],[5,5,7,5],[5,7,7,7],[7,7,7,7],[5,5,5,7],[7,5,7,7],[7,5,7,7]],"output":[[7,7,7,7],[8,7,8,8],[7,7,7,8],[8,7,7,7],[7,7,8,8],[8,8,7,7],[7,7,8,8],[8,8,7,8],[8,7,7,7],[7,7,7,7],[8,8,8,7],[7,8,7,7],[7,8,7,7]]},{"input":[[7,1,1,7,1,7,1,7,...	1	dataset=solve_color group=replace_color_different_palettes no_padding palette_a predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
SIMONSOLVEVERSION1, O3T, predict pixels	I0 19 8 o56a5,5,,,,g56i5,j53f5,5 O0 19 8 f0j40,,,,,,, I1 3 19 5,3a5,5,,,,,,,,,,a51,5,,,,, O1 3 19 4,,,,,,,,,,,,,,0,,,, I2 14 13 d51g5,5,,,e51f5,f51e5,5,,,,b59i5,5, O2 14 13 a0f4d0,,,,,,,,,,,,0 I3T 3 10 5,2a5,5,,505,5,,,, O3T None	444 444 444 444 444 444 000 000 000 000	{"train":[{"input":[[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,6,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,6,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,3,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5...	0	dataset=solve_boundingbox group=boundingbox_of_lonely_pixels filled_outer predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
Simon-Solve-V1, O4T, predict raw pixels	I0 27 11 a7a875c78k7a8a7,d75c78c75b7a8b78a7,a78a758a78a78a75j7,8b787578787a875c78e7,d7a5a78c795a78b78b78,b7a5d78787958c78c78,7a5j79a1b7a8a78a7,h5d89a8a1f78,78h7d8b7b1b787,b78c78a78a787e8a1b7,b7a8e78g787c87 O0 1 1 9 I1 11 22 87d8b78,78d787a8,78a787a8787,a7c8a78a7,787b878a78,8a7a87b878,7a87a8a78a7,8a7b878b7,a8787878b7,87...	3	{"train":[{"input":[[7,7,8,8,7,5,7,7,7,7,8,7,7,7,7,7,7,7,7,7,7,7,7,8,8,7,7],[7,7,7,7,7,5,7,7,7,7,8,7,7,7,7,5,7,7,7,8,8,7,7,7,8,7,7],[7,7,8,7,7,5,8,7,7,8,7,7,8,7,7,5,7,7,7,7,7,7,7,7,7,7,7],[8,7,7,7,8,7,5,7,8,7,8,7,8,8,7,5,7,7,7,7,8,7,7,7,7,7,7],[7,7,7,7,7,5,5,7,7,8,7,7,7,7,9,5,7,7,8,7,7,7,8,7,7,7,8],[7,7,7,5,5,7,7,7,7,7...	0	dataset=solve_color group=mostleast_popular_color least_popular 1x1 predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c
simonsolvev1 'O4T' predict the pixels	I0 11 10 a090909c0,b9a09a0a90,a090909c0,d0b9b0,c09e0,b0a909c0,a909f0,9a09e09,9090b9a090,g0909 O0 11 10 a949494c9,b4a94a9a49,a949494c9,d9b4b9,c94e9,b9a494c9,a494f9,4a94e94,4949b4a949,g9494 I1 10 10 0,g030,c03d0,b03d03,3e0b3,f03a0,30a3c030,a03c03a0,030a3c03,g030 O1 10 10 3,g343,c34d3,b34d34,4e3b4,f34a3,43a4c343,a34c34a3,...	477 747 447 744 474 474 777 777 744 777 747 747 777 744 774 747 744	{"train":[{"input":[[0,0,9,0,9,0,9,0,0,0,0],[9,9,9,0,0,9,0,0,9,9,0],[0,0,9,0,9,0,9,0,0,0,0],[0,0,0,0,0,9,9,9,0,0,0],[0,0,0,0,9,0,0,0,0,0,0],[0,0,0,9,9,0,9,0,0,0,0],[9,9,0,9,0,0,0,0,0,0,0],[9,0,0,9,0,0,0,0,0,0,9],[9,0,9,0,9,9,9,0,0,9,0],[0,0,0,0,0,0,0,0,9,0,9]],"output":[[9,9,4,9,4,9,4,9,9,9,9],[4,4,4,9,9,4,9,9,4,4,9],[...	1	dataset=solve_color group=replace_color_different_palettes no_padding palette_b predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
simonsolvev1, O4T, predict raw pixels	I0 42 20 b39b3b93d93d93939g3a93a9b3,c39b3e9a3c9e393b939e3a93,b3939c3a9a3a9a393a9a39a39b39c39d3,c9a39f3a9b3939e39d39a39b39,3a93b9a39b3a9a3a939b3939c3a9a39d39,a39b3939a3b939a393a93a939a39c39a39c3,3a9c393c9a3b9a39a3b9b3c9c3939a3,a3b939a3a9a3a9393939a3a9c39e3a93b9,9b3d939b39b3b9a3a9d39c39e3,3a9393939d39d3a9a3a9f393a939a39,...	7737377777337773377737 3777773337777737333373	{"train":[{"input":[[3,3,3,9,3,3,3,9,9,9,3,9,9,9,9,9,3,9,9,9,9,9,3,9,3,9,3,3,3,3,3,3,3,3,9,9,3,9,9,3,3,3],[3,3,3,3,9,3,3,3,9,9,9,9,9,9,3,3,9,9,9,9,3,3,3,3,3,3,9,3,9,9,9,3,9,3,3,3,3,3,3,9,9,3],[3,3,3,9,3,9,3,3,3,3,9,9,3,3,9,9,3,3,9,3,9,9,3,3,9,3,3,9,3,3,3,9,3,3,3,3,9,3,3,3,3,3],[9,9,9,9,3,3,9,3,3,3,3,3,3,3,9,9,3,3,3,9,3...	0	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=other image_height=medium task_pixels=d
simon-solve-v1 predict raw pixels for 'O4T'	I0 10 25 d97c9,a97c97a9,d97c9,f97a9,9,7c97c9,9,7e97a9,9,a97c97a9,f97a9,9,4,b565656a5,5656d56,56a5a65656,6a5b6a565,6d56b5,h56,56a5e6,656a5c65,5b6c5a6,a656e5,b6a565656,6a56e5 O0 10 12 b06b06a0,0b6b0606,06a06a0606,6a0b60a60,6d06b0,6c06b06,06a0e6,a06a0a6060,0b6c0a6,c6b06a0,b6a06b06,6a06e0 I1 6 25 97a979,9797a9,97b97,97c9,a...	6060 0666 0000 6600 0060 0600 0606 0060 6006 0000 0660 0660 6066 6000 0600 6060	{"train":[{"input":[[9,9,9,9,9,7,9,9,9,9],[9,9,7,9,9,9,9,7,9,9],[9,9,9,9,9,7,9,9,9,9],[9,9,9,9,9,9,9,7,9,9],[9,9,9,9,9,9,9,9,9,9],[7,9,9,9,9,7,9,9,9,9],[9,9,9,9,9,9,9,9,9,9],[7,9,9,9,9,9,9,7,9,9],[9,9,9,9,9,9,9,9,9,9],[9,9,7,9,9,9,9,7,9,9],[9,9,9,9,9,9,9,7,9,9],[9,9,9,9,9,9,9,9,9,9],[4,4,4,4,4,4,4,4,4,4],[5,5,5,6,5,6,5...	0	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=medium image_height=other 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.jsonl
dataset_solve_rotate.jsonl
dataset_solve_translate.jsonl
dataset_cellular_automaton.jsonl - added.
dataset_shape.jsonl - added.

Verison 19

Added dataset.

Datasets:

dataset_solve_color.jsonl
dataset_solve_rotate.jsonl
dataset_solve_translate.jsonl
dataset_cellular_automaton.jsonl
dataset_shape.jsonl
dataset_image.jsonl - added.

Verison 20

Bigger images.

Verison 21

Added dataset. Disabled some datasets.

Datasets:

dataset_cellular_automaton.jsonl
dataset_shape.jsonl
dataset_mass.jsonl - added.

Verison 22

Added dataset.

Datasets:

dataset_solve_color.jsonl
dataset_solve_rotate.jsonl
dataset_solve_translate.jsonl
dataset_cellular_automaton.jsonl
dataset_shape.jsonl
dataset_image.jsonl
dataset_mass.jsonl
dataset_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 - disabled
dataset_image.jsonl - disabled
dataset_mass.jsonl
dataset_shape.jsonl
dataset_solve_color.jsonl - disabled
dataset_solve_rotate.jsonl - disabled
dataset_solve_translate.jsonl - disabled
dataset_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 - disabled
dataset_histogram.jsonl - disabled
dataset_image.jsonl - disabled
dataset_mass.jsonl
dataset_scale.jsonl
dataset_shape.jsonl - disabled
dataset_solve_color.jsonl
dataset_solve_rotate.jsonl
dataset_solve_translate.jsonl

Verison 37

Enabled all datasets

Datasets:

dataset_cellular_automaton.jsonl
dataset_histogram.jsonl
dataset_image.jsonl
dataset_mass.jsonl
dataset_scale.jsonl
dataset_shape.jsonl
dataset_solve_color.jsonl
dataset_solve_rotate.jsonl
dataset_solve_translate.jsonl

Verison 38

Added dataset

Datasets:

dataset_cellular_automaton.jsonl
dataset_histogram.jsonl
dataset_image.jsonl
dataset_mass.jsonl
dataset_scale.jsonl
dataset_shape.jsonl
dataset_solve_color.jsonl
dataset_solve_rotate.jsonl
dataset_solve_translate.jsonl
dataset_symmetry.jsonl - added

Version 39

Regenerated all datasets with new random seeds.

Version 40

Added dataset

Datasets:

dataset_cellular_automaton.jsonl
dataset_histogram.jsonl
dataset_image.jsonl
dataset_image_pair.jsonl - added
dataset_mass.jsonl
dataset_scale.jsonl
dataset_shape.jsonl
dataset_solve_color.jsonl
dataset_solve_rotate.jsonl
dataset_solve_translate.jsonl
dataset_symmetry.jsonl

Version 41

Regenerated all datasets with new random seeds.

Version 42

Added dataset. Disabled some datasets.

Datasets:

dataset_cellular_automaton.jsonl
dataset_histogram.jsonl - disabled
dataset_image.jsonl - disabled
dataset_image_pair.jsonl - disabled
dataset_mass.jsonl - disabled
dataset_scale.jsonl
dataset_shape.jsonl
dataset_solve_color.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl - added
dataset_solve_translate.jsonl
dataset_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.jsonl
dataset_histogram.jsonl
dataset_image.jsonl - disabled
dataset_image_pair.jsonl - disabled
dataset_mass.jsonl - disabled
dataset_scale.jsonl - disabled
dataset_shape.jsonl - disabled
dataset_solve_color.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl - added
dataset_solve_translate.jsonl
dataset_symmetry.jsonl

Version 48

Enabled all datasets.

Version 49

Bigger max_mass. From 6 to 8.

Version 50

Added dataset.

Datasets:

dataset_cellular_automaton.jsonl
dataset_histogram.jsonl
dataset_image.jsonl - disabled
dataset_image_pair.jsonl - disabled
dataset_mass.jsonl - disabled
dataset_scale.jsonl - disabled
dataset_shape.jsonl - disabled
dataset_solve_color.jsonl
dataset_solve_compress.jsonl - added
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_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.jsonl
dataset_erotion.jsonl - added
dataset_histogram.jsonl
dataset_image.jsonl
dataset_image_pair.jsonl
dataset_mass.jsonl
dataset_scale.jsonl
dataset_shape.jsonl
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_symmetry.jsonl

Version 55

Added dataset. Disabled most datasets.

Datasets:

dataset_cellular_automaton.jsonl
dataset_dilation.jsonl - added
dataset_erotion.jsonl
dataset_histogram.jsonl - disabled
dataset_image.jsonl - disabled
dataset_image_pair.jsonl - disabled
dataset_mass.jsonl - disabled
dataset_scale.jsonl - disabled
dataset_shape.jsonl - disabled
dataset_solve_color.jsonl - disabled
dataset_solve_compress.jsonl - disabled
dataset_solve_rotate.jsonl - disabled
dataset_solve_scale.jsonl - disabled
dataset_solve_symmetry.jsonl - disabled
dataset_solve_translate.jsonl - disabled
dataset_symmetry.jsonl - disabled

Version 56

Enabled all datasets.

Datasets:

dataset_cellular_automaton.jsonl
dataset_dilation.jsonl
dataset_erotion.jsonl
dataset_histogram.jsonl
dataset_image.jsonl
dataset_image_pair.jsonl
dataset_mass.jsonl
dataset_scale.jsonl
dataset_shape.jsonl
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_symmetry.jsonl

Version 57

Regenerated all datasets with new random seeds.

Version 58

Disabled most datasets.

Datasets:

dataset_cellular_automaton.jsonl - disabled
dataset_dilation.jsonl - disabled
dataset_erotion.jsonl - disabled
dataset_histogram.jsonl - disabled
dataset_image.jsonl - disabled
dataset_image_pair.jsonl - disabled
dataset_mass.jsonl - disabled
dataset_scale.jsonl - disabled
dataset_shape.jsonl - disabled
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_symmetry.jsonl - disabled

Version 59

Added new datasets.

Disabled most datasets.

Datasets:

dataset_cellular_automaton.jsonl - disabled
dataset_dilation.jsonl - disabled
dataset_erotion.jsonl - disabled
dataset_histogram.jsonl - disabled
dataset_image.jsonl - disabled
dataset_image_pair.jsonl - disabled
dataset_mass.jsonl - disabled
dataset_scale.jsonl - disabled
dataset_shape.jsonl - disabled
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_erosion.jsonl - added
dataset_solve_fractal.jsonl - added
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_symmetry.jsonl - disabled

Version 60

Incremented random seed

Datasets:

dataset_cellular_automaton.jsonl - disabled
dataset_dilation.jsonl - disabled
dataset_erotion.jsonl - disabled
dataset_histogram.jsonl - disabled
dataset_image.jsonl - disabled
dataset_image_pair.jsonl - disabled
dataset_mass.jsonl - disabled
dataset_scale.jsonl - disabled
dataset_shape.jsonl - disabled
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_erosion.jsonl
dataset_solve_fractal.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_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 - disabled
dataset_dilation.jsonl - disabled
dataset_erotion.jsonl - disabled
dataset_histogram.jsonl - disabled
dataset_image.jsonl - disabled
dataset_image_pair.jsonl - disabled
dataset_mass.jsonl
dataset_scale.jsonl - disabled
dataset_shape.jsonl - disabled
dataset_solve_color.jsonl - disabled
dataset_solve_compress.jsonl - disabled
dataset_solve_erosion.jsonl
dataset_solve_fractal.jsonl
dataset_solve_rotate.jsonl - disabled
dataset_solve_scale.jsonl - disabled
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl - disabled
dataset_symmetry.jsonl - disabled

Version 64

Added dataset.

Increased the number of rows in the jsonl file from 200k to 300k.

Datasets:

dataset_cellular_automaton.jsonl
dataset_dilation.jsonl
dataset_erotion.jsonl
dataset_histogram.jsonl
dataset_image.jsonl
dataset_image_pair.jsonl
dataset_mass.jsonl
dataset_scale.jsonl
dataset_shape.jsonl
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_erosion.jsonl
dataset_solve_fractal.jsonl
dataset_solve_outline.jsonl - added
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_symmetry.jsonl

Version 65

random seed.

Version 66

Disabled some datasets.

Datasets:

dataset_cellular_automaton.jsonl
dataset_dilation.jsonl
dataset_erotion.jsonl
dataset_histogram.jsonl - disabled
dataset_image.jsonl - disabled
dataset_image_pair.jsonl - disabled
dataset_mass.jsonl
dataset_scale.jsonl - disabled
dataset_shape.jsonl
dataset_solve_color.jsonl - disabled
dataset_solve_compress.jsonl - disabled
dataset_solve_erosion.jsonl - disabled
dataset_solve_fractal.jsonl - disabled
dataset_solve_outline.jsonl - disabled
dataset_solve_rotate.jsonl - disabled
dataset_solve_scale.jsonl - disabled
dataset_solve_symmetry.jsonl - disabled
dataset_solve_translate.jsonl - disabled
dataset_symmetry.jsonl - disabled

Version 67

Disabled some datasets.

Datasets:

dataset_cellular_automaton.jsonl
dataset_dilation.jsonl
dataset_erotion.jsonl
dataset_histogram.jsonl
dataset_image.jsonl
dataset_image_pair.jsonl
dataset_mass.jsonl
dataset_scale.jsonl
dataset_shape.jsonl
dataset_solve_color.jsonl - enabled
dataset_solve_compress.jsonl - enabled
dataset_solve_erosion.jsonl - enabled
dataset_solve_fractal.jsonl - enabled
dataset_solve_outline.jsonl - enabled
dataset_solve_rotate.jsonl - enabled
dataset_solve_scale.jsonl - enabled
dataset_solve_symmetry.jsonl - enabled
dataset_solve_translate.jsonl - enabled
dataset_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 - disabled
dataset_dilation.jsonl - disabled
dataset_erotion.jsonl - disabled
dataset_histogram.jsonl - disabled
dataset_image.jsonl - disabled
dataset_image_pair.jsonl - disabled
dataset_mass.jsonl - disabled
dataset_scale.jsonl - disabled
dataset_shape.jsonl - disabled
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_erosion.jsonl
dataset_solve_fractal.jsonl
dataset_solve_outline.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_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.jsonl
dataset_dilation.jsonl
dataset_erotion.jsonl
dataset_histogram.jsonl
dataset_image.jsonl
dataset_image_pair.jsonl
dataset_mass.jsonl
dataset_scale.jsonl
dataset_shape.jsonl
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_erosion.jsonl
dataset_solve_fractal.jsonl
dataset_solve_outline.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl - added
dataset_symmetry.jsonl

Version 83

Disabled datasets that doesn't solve ARC puzzles.

Datasets:

dataset_cellular_automaton.jsonl - disabled
dataset_dilation.jsonl - disabled
dataset_erotion.jsonl - disabled
dataset_histogram.jsonl - disabled
dataset_image.jsonl - disabled
dataset_image_pair.jsonl - disabled
dataset_mass.jsonl - disabled
dataset_scale.jsonl - disabled
dataset_shape.jsonl - disabled
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_erosion.jsonl
dataset_solve_fractal.jsonl
dataset_solve_outline.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl
dataset_symmetry.jsonl - disabled

Version 84

Added dataset dataset_solve_grid.jsonl.

Disabled datasets that doesn't solve ARC puzzles.

Datasets:

dataset_cellular_automaton.jsonl - disabled
dataset_dilation.jsonl - disabled
dataset_erotion.jsonl - disabled
dataset_histogram.jsonl - disabled
dataset_image.jsonl - disabled
dataset_image_pair.jsonl - disabled
dataset_mass.jsonl - disabled
dataset_scale.jsonl - disabled
dataset_shape.jsonl - disabled
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_erosion.jsonl
dataset_solve_fractal.jsonl
dataset_solve_grid.jsonl - added
dataset_solve_outline.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl
dataset_symmetry.jsonl - disabled

Version 85

Disabled datasets that doesn't solve ARC puzzles.

Datasets:

dataset_cellular_automaton.jsonl - disabled
dataset_dilation.jsonl - disabled
dataset_erotion.jsonl - disabled
dataset_histogram.jsonl - disabled
dataset_image.jsonl - disabled
dataset_image_pair.jsonl - disabled
dataset_mass.jsonl - disabled
dataset_scale.jsonl - disabled
dataset_shape.jsonl - disabled
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_erosion.jsonl
dataset_solve_fractal.jsonl
dataset_solve_grid.jsonl
dataset_solve_outline.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl
dataset_symmetry.jsonl - disabled

Version 86

Enabled all datasets.

Version 87

Disabled datasets that doesn't solve ARC puzzles.

Datasets:

dataset_cellular_automaton.jsonl - disabled
dataset_dilation.jsonl - disabled
dataset_erotion.jsonl - disabled
dataset_histogram.jsonl - disabled
dataset_image.jsonl - disabled
dataset_image_pair.jsonl - disabled
dataset_mass.jsonl - disabled
dataset_scale.jsonl - disabled
dataset_shape.jsonl - disabled
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_erosion.jsonl
dataset_solve_fractal.jsonl
dataset_solve_grid.jsonl
dataset_solve_outline.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl
dataset_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 - disabled
dataset_dilation.jsonl - disabled
dataset_erotion.jsonl - disabled
dataset_histogram.jsonl - disabled
dataset_image.jsonl - disabled
dataset_image_pair.jsonl - disabled
dataset_mass.jsonl - disabled
dataset_scale.jsonl - disabled
dataset_shape.jsonl - disabled
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_erosion.jsonl
dataset_solve_fractal.jsonl
dataset_solve_grid.jsonl
dataset_solve_outline.jsonl
dataset_solve_probecolor.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl
dataset_symmetry.jsonl - disabled

Version 89

Enabled all datasets.

Datasets:

dataset_cellular_automaton.jsonl
dataset_dilation.jsonl
dataset_erotion.jsonl
dataset_histogram.jsonl
dataset_image.jsonl
dataset_image_pair.jsonl
dataset_mass.jsonl
dataset_scale.jsonl
dataset_shape.jsonl
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_erosion.jsonl
dataset_solve_fractal.jsonl
dataset_solve_grid.jsonl
dataset_solve_outline.jsonl
dataset_solve_probecolor.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl
dataset_symmetry.jsonl

Version 90

Disabled some of the datasets.

Datasets:

dataset_cellular_automaton.jsonl - disabled
dataset_dilation.jsonl - disabled
dataset_erotion.jsonl - disabled
dataset_histogram.jsonl - disabled
dataset_image.jsonl - disabled
dataset_image_pair.jsonl - disabled
dataset_mass.jsonl - disabled
dataset_scale.jsonl - disabled
dataset_shape.jsonl - disabled
dataset_solve_color.jsonl - disabled
dataset_solve_compress.jsonl
dataset_solve_erosion.jsonl - disabled
dataset_solve_fractal.jsonl
dataset_solve_grid.jsonl - disabled
dataset_solve_outline.jsonl - disabled
dataset_solve_probecolor.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl - disabled
dataset_solve_zindex.jsonl - disabled
dataset_symmetry.jsonl - disabled

Version 91

Added dataset.

Enabled all datasets.

Datasets:

dataset_cellular_automaton.jsonl
dataset_dilation.jsonl
dataset_erotion.jsonl
dataset_histogram.jsonl
dataset_image.jsonl
dataset_image_pair.jsonl
dataset_mass.jsonl
dataset_scale.jsonl
dataset_shape.jsonl
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_erosion.jsonl
dataset_solve_fractal.jsonl
dataset_solve_grid.jsonl
dataset_solve_mass.jsonl - added
dataset_solve_outline.jsonl
dataset_solve_probecolor.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl
dataset_symmetry.jsonl

Version 92

Different random seed.

Version 93

Added dataset.

Datasets:

dataset_cellular_automaton.jsonl
dataset_dilation.jsonl
dataset_erotion.jsonl
dataset_histogram.jsonl
dataset_image.jsonl
dataset_image_pair.jsonl
dataset_mass.jsonl
dataset_scale.jsonl
dataset_shape.jsonl
dataset_solve_bool.jsonl - added
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_erosion.jsonl
dataset_solve_fractal.jsonl
dataset_solve_grid.jsonl
dataset_solve_mass.jsonl
dataset_solve_outline.jsonl
dataset_solve_probecolor.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl
dataset_symmetry.jsonl

Version 94

Added dataset.

Disabled datasets that doesn't solve ARC tasks.

Datasets:

dataset_cellular_automaton.jsonl - disabled
dataset_dilation.jsonl - disabled
dataset_erotion.jsonl - disabled
dataset_histogram.jsonl - disabled
dataset_image.jsonl - disabled
dataset_image_pair.jsonl - disabled
dataset_mass.jsonl - disabled
dataset_scale.jsonl - disabled
dataset_shape.jsonl - disabled
dataset_solve_bool.jsonl
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_edge.jsonl - added
dataset_solve_erosion.jsonl
dataset_solve_fractal.jsonl
dataset_solve_grid.jsonl
dataset_solve_mass.jsonl
dataset_solve_outline.jsonl
dataset_solve_probecolor.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl
dataset_symmetry.jsonl - disabled

Version 95

Added dataset.

Datasets:

dataset_cellular_automaton.jsonl
dataset_dilation.jsonl
dataset_erotion.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_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_edge.jsonl
dataset_solve_erosion.jsonl
dataset_solve_fractal.jsonl
dataset_solve_grid.jsonl
dataset_solve_half.jsonl - added
dataset_solve_mass.jsonl
dataset_solve_outline.jsonl
dataset_solve_probecolor.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl
dataset_symmetry.jsonl

Version 96

Datasets:

dataset_cellular_automaton.jsonl
dataset_dilation.jsonl
dataset_erotion.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_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_edge.jsonl
dataset_solve_erosion.jsonl
dataset_solve_fractal.jsonl
dataset_solve_grid.jsonl
dataset_solve_half.jsonl
dataset_solve_mass.jsonl
dataset_solve_outline.jsonl
dataset_solve_probecolor.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl - major update.
dataset_symmetry.jsonl

Version 97

Disabled the first half of the datasets.

Datasets:

dataset_cellular_automaton.jsonl - disabled
dataset_dilation.jsonl - disabled
dataset_erotion.jsonl - disabled
dataset_histogram.jsonl - disabled
dataset_image.jsonl - disabled
dataset_image_pair.jsonl - disabled
dataset_mass.jsonl - disabled
dataset_scale.jsonl - disabled
dataset_shape.jsonl - disabled
dataset_solve_bool.jsonl - disabled
dataset_solve_color.jsonl - disabled
dataset_solve_compress.jsonl - disabled
dataset_solve_edge.jsonl
dataset_solve_erosion.jsonl
dataset_solve_fractal.jsonl
dataset_solve_grid.jsonl
dataset_solve_half.jsonl
dataset_solve_mass.jsonl
dataset_solve_outline.jsonl
dataset_solve_probecolor.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl
dataset_symmetry.jsonl

Version 98

Disabled the last half of the datasets.

Datasets:

dataset_cellular_automaton.jsonl
dataset_dilation.jsonl
dataset_erotion.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_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_edge.jsonl - disabled
dataset_solve_erosion.jsonl - disabled
dataset_solve_fractal.jsonl - disabled
dataset_solve_grid.jsonl - disabled
dataset_solve_half.jsonl - disabled
dataset_solve_mass.jsonl - disabled
dataset_solve_outline.jsonl - disabled
dataset_solve_probecolor.jsonl - disabled
dataset_solve_rotate.jsonl - disabled
dataset_solve_scale.jsonl - disabled
dataset_solve_symmetry.jsonl - disabled
dataset_solve_translate.jsonl - disabled
dataset_solve_zindex.jsonl - disabled
dataset_symmetry.jsonl - disabled

Version 99

Disabled the 1/4th of the datasets.

Datasets:

dataset_cellular_automaton.jsonl - disabled
dataset_dilation.jsonl - disabled
dataset_erotion.jsonl - disabled
dataset_histogram.jsonl - disabled
dataset_image.jsonl - disabled
dataset_image_pair.jsonl - disabled
dataset_mass.jsonl - disabled
dataset_scale.jsonl - disabled
dataset_shape.jsonl - disabled
dataset_solve_bool.jsonl - disabled
dataset_solve_color.jsonl - disabled
dataset_solve_compress.jsonl - disabled
dataset_solve_edge.jsonl
dataset_solve_erosion.jsonl
dataset_solve_fractal.jsonl
dataset_solve_grid.jsonl
dataset_solve_half.jsonl
dataset_solve_mass.jsonl
dataset_solve_outline.jsonl
dataset_solve_probecolor.jsonl - disabled
dataset_solve_rotate.jsonl - disabled
dataset_solve_scale.jsonl - disabled
dataset_solve_symmetry.jsonl - disabled
dataset_solve_translate.jsonl - disabled
dataset_solve_zindex.jsonl - disabled
dataset_symmetry.jsonl - disabled

Version 100

Added dataset.

Datasets:

dataset_cellular_automaton.jsonl
dataset_dilation.jsonl
dataset_erotion.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_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_edge.jsonl
dataset_solve_erosion.jsonl
dataset_solve_fractal.jsonl
dataset_solve_grid.jsonl
dataset_solve_half.jsonl
dataset_solve_mask.jsonl - added
dataset_solve_mass.jsonl
dataset_solve_outline.jsonl
dataset_solve_probecolor.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl
dataset_symmetry.jsonl

Version 101

Disabled the non solving datasets.

Datasets:

dataset_cellular_automaton.jsonl - disabled
dataset_dilation.jsonl - disabled
dataset_erotion.jsonl - disabled
dataset_histogram.jsonl - disabled
dataset_image.jsonl - disabled
dataset_image_pair.jsonl - disabled
dataset_mass.jsonl - disabled
dataset_scale.jsonl - disabled
dataset_shape.jsonl - disabled
dataset_solve_bool.jsonl
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_edge.jsonl
dataset_solve_erosion.jsonl
dataset_solve_fractal.jsonl
dataset_solve_grid.jsonl
dataset_solve_half.jsonl
dataset_solve_mask.jsonl
dataset_solve_mass.jsonl
dataset_solve_outline.jsonl
dataset_solve_probecolor.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl
dataset_symmetry.jsonl - disabled

Version 102

Added dataset

Datasets:

dataset_cellular_automaton.jsonl
dataset_dilation.jsonl
dataset_erotion.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 - added
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_edge.jsonl
dataset_solve_erosion.jsonl
dataset_solve_fractal.jsonl
dataset_solve_grid.jsonl
dataset_solve_half.jsonl
dataset_solve_mask.jsonl
dataset_solve_mass.jsonl
dataset_solve_outline.jsonl
dataset_solve_probecolor.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl
dataset_symmetry.jsonl

Version 103

Different random seed.

Version 104

Disabled the non solving datasets.

Datasets:

dataset_cellular_automaton.jsonl - disabled
dataset_dilation.jsonl - disabled
dataset_erotion.jsonl - disabled
dataset_histogram.jsonl - disabled
dataset_image.jsonl - disabled
dataset_image_pair.jsonl - disabled
dataset_mass.jsonl - disabled
dataset_scale.jsonl - disabled
dataset_shape.jsonl - disabled
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_fractal.jsonl
dataset_solve_grid.jsonl
dataset_solve_half.jsonl
dataset_solve_mask.jsonl
dataset_solve_mass.jsonl
dataset_solve_outline.jsonl
dataset_solve_probecolor.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl
dataset_symmetry.jsonl - disabled

Version 105

Major update to dataset_solve_scale.jsonl with scaling down noisy images.

Datasets:

dataset_cellular_automaton.jsonl
dataset_dilation.jsonl
dataset_erotion.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_fractal.jsonl
dataset_solve_grid.jsonl
dataset_solve_half.jsonl
dataset_solve_mask.jsonl
dataset_solve_mass.jsonl
dataset_solve_outline.jsonl
dataset_solve_probecolor.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl - scale down noisy images
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl
dataset_symmetry.jsonl

Version 106

Different random seed.

Version 107

Added dataset

Datasets:

dataset_cellular_automaton.jsonl
dataset_dilation.jsonl
dataset_erotion.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_fractal.jsonl
dataset_solve_grid.jsonl
dataset_solve_half.jsonl
dataset_solve_mask.jsonl
dataset_solve_mass.jsonl
dataset_solve_outline.jsonl
dataset_solve_probecolor.jsonl
dataset_solve_ray.jsonl - added
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl
dataset_symmetry.jsonl

Version 108

Added dataset

Datasets:

dataset_cellular_automaton.jsonl
dataset_dilation.jsonl
dataset_erotion.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 - added
dataset_solve_fractal.jsonl
dataset_solve_grid.jsonl
dataset_solve_half.jsonl
dataset_solve_mask.jsonl
dataset_solve_mass.jsonl
dataset_solve_outline.jsonl
dataset_solve_probecolor.jsonl
dataset_solve_ray.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl
dataset_symmetry.jsonl

Version 109

Different random seed.

Version 110

Added dataset

Datasets:

dataset_cellular_automaton.jsonl
dataset_dilation.jsonl
dataset_erotion.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_grid.jsonl
dataset_solve_half.jsonl
dataset_solve_halfplane.jsonl - added
dataset_solve_mask.jsonl
dataset_solve_mass.jsonl
dataset_solve_outline.jsonl
dataset_solve_probecolor.jsonl
dataset_solve_ray.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl
dataset_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.jsonl
dataset_dilation.jsonl
dataset_erotion.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 - added
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_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl
dataset_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.jsonl
dataset_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.

Downloads last month: 10

Size of downloaded dataset files:

22.2 MB

Size of the auto-converted Parquet files:

6.11 MB

Number of rows:

4,000