Datasets:

neoneye
/

simon-arc-combine-v190

instruction stringclasses 399 values	input stringlengths 143 3.07k	output stringlengths 2 528	arc_task stringlengths 457 9.16k	test_index int64 0 1	benchmark stringclasses 255 values
SIMON-SOLVE-V1 predict raw pixels for 'O4T'	I0 15 10 7,c7e4676a7,d7a6a76d7,b76e76c7,e76g7,,f76e76,m76,7,e7a6f7 O0 15 10 3,c3e2d3,3,,,,,,, I1 10 7 7a6c7a67,7676b7676,646c7a67,74c76767,74a6c767,a7a6c767,6h7 O1 10 7 3,,32g3,,,3, I2 7 11 7,e76,7,6b76a7,e76,7,a7b4a7,,7,,6a76b7 O2 7 11 3,,,,,,a3b2a3,,3,, I3T 11 6 g7a67,6d7a4b7,7c67a4767,a6c7a46a7,7a6f76,b6b76c7 O3T No...	322233 322233 322233 322233 322233 322233 322233 333333 333333 333333	{"train":[{"input":[[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,4,4,4,4,4,4,6,7,6,7,7],[7,7,7,7,7,6,6,7,7,6,7,7,7,7,7],[7,7,7,6,7,7,7,7,7,7,6,7,7,7,7],[7,7,7,7,7,7,6,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,6,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,6,7,7,7,7,7,7,6],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,6],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7...	1	dataset=solve_zindex group=mask_of_primary_rectangle predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
Simon-Solve-Version1 predict pixels for 'O4T'	I0 14 6 b8a38c3a8a3,a3g8c3,3g83c8,2k72,,2 O0 14 6 5,,,2,, I1 6 14 c838,83c8,a83b2,b8b2,838b2,b8b2,,,a83a72,b8a72,,838a72,b8a72,3a8a72 O1 6 14 5,,b5b2,,,,,,,,,,, I2 14 15 a83d8d38,38k2,83k2,a8k2,38e2e7,,a3e2e7,38e2e7,a8e2e7,38e2e7,83e2e7,83c838e7,a83d83b8a3,a83c83e8,3d8b38a3a8 O2 14 15 5,a5k2,,,,,,,,,,5,,, I3 13 15 b8e2...	555555555555555 555555555555555 555555555555555 555555555555555 555555555555555 222222222222222 222222222222222 222222222222222 222222222222222 222222222222222 222222222222222 222222222222222 222222222222222 222222222222222 555555555555555	{"train":[{"input":[[8,8,8,3,3,8,3,3,3,3,8,8,3,3],[3,3,8,8,8,8,8,8,8,8,3,3,3,3],[3,8,8,8,8,8,8,8,8,3,8,8,8,8],[2,7,7,7,7,7,7,7,7,7,7,7,7,2],[2,7,7,7,7,7,7,7,7,7,7,7,7,2],[2,2,2,2,2,2,2,2,2,2,2,2,2,2]],"output":[[5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5],[2,2,2,2,2,2,2,2,2,...	0	dataset=solve_zindex group=mask_of_obscured_rectangle predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
simonsolvev1 predict raw pixels for O4T	I0 14 14 61a6a1e616,h61c6,c6a1a61a6a16,1d6g9,b61a6g9,,e6g9,c616g9,b1b6g9,c616g9,161616g9,b6i79,,a61i79 O0 14 14 1,,,,,,,,,,,e1f91,, I1 9 7 6d7b6,9d79a6,,6d7a61,61f6,6, O1 9 7 1,1d9b1,,1,,, I2 7 8 1e6,6,,a9d6,7,a9a1b6,d6a1,6 O2 7 8 1,,,,a9d1,1,, I3 13 13 e61e6,j616,a61i6,1f9b616,6f9d6,,k76,,,,,6f9d6,6f961a61 O3 13 13 1,...	1111111111111 1111111111111 1111111111111 1111111111111 1111111111111 1111119999911 1111111111111	{"train":[{"input":[[6,1,6,6,1,1,6,6,6,6,6,6,1,6],[6,6,6,6,6,6,6,6,6,1,6,6,6,6],[6,6,6,6,1,1,6,6,1,6,6,1,1,6],[1,6,6,6,6,6,9,9,9,9,9,9,9,9],[6,6,6,1,6,6,9,9,9,9,9,9,9,9],[6,6,6,1,6,6,9,9,9,9,9,9,9,9],[6,6,6,6,6,6,9,9,9,9,9,9,9,9],[6,6,6,6,1,6,9,9,9,9,9,9,9,9],[1,1,1,6,6,6,9,9,9,9,9,9,9,9],[6,6,6,6,1,6,9,9,9,9,9,9,9,9],...	0	dataset=solve_zindex group=mask_of_intersection_rectangle predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
SIMONSOLVEVERSION1 predict raw pixels for 'O3T'	I0 15 10 2l32,2f3f6,4f3f6,2f3f6,,4f3f6,2f3f6,,,4l32 O0 15 10 6l26,,,,,,,,, I1 10 13 4g64,2g62,,3g63,,,,,,,,4d24b2,f2424 O1 10 13 6,,,2,,,,,,,,6, I2 13 11 2,b2g3a2,j6a2,j642,j6a2,,,b2g3a2,,, O2 13 11 6,b6g2a6,,,,,,,,, I3T 9 15 24a242a42,3,,,,,,,,c6d3,,,c6a4a24,c6424a2,2b4b2a4 O3T None I4T 11 14 g24a2,a3b6d32,,,,a3b6d34,...	666666666 222222222 222222222 222222222 222222222 222222222 222222222 222222222 222222222 222222222 222222222 222222222 666666666 666666666 666666666	{"train":[{"input":[[2,3,3,3,3,3,3,3,3,3,3,3,3,3,2],[2,3,3,3,3,3,3,3,6,6,6,6,6,6,6],[4,3,3,3,3,3,3,3,6,6,6,6,6,6,6],[2,3,3,3,3,3,3,3,6,6,6,6,6,6,6],[2,3,3,3,3,3,3,3,6,6,6,6,6,6,6],[4,3,3,3,3,3,3,3,6,6,6,6,6,6,6],[2,3,3,3,3,3,3,3,6,6,6,6,6,6,6],[2,3,3,3,3,3,3,3,6,6,6,6,6,6,6],[2,3,3,3,3,3,3,3,6,6,6,6,6,6,6],[4,3,3,3,3,3...	0	dataset=solve_zindex group=mask_of_obscured_rectangle predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
SIMONSOLVEVERSION1 'O5T' predict the pixels	I0 16 11 0,9b09b049b09a0,d09a04f0,909c0914e0,f0914b09a0,a0a909a0194d0,d09a0104b090,09a09c0904c0,9a09a09c04c9,c09e094b0,9a09a09a09a09a09 O0 16 11 1,9b19b149b19a1,d19a14f1,919c1904e1,f1904b19a1,a1a919a1094d1,d19a1014b191,19a19c1914c1,9a19a19c14c9,c19e194b1,9a19a19a19a19a19 I1 22 14 171515e15b15b121,c1715c15c151a251,f15b1...	4247777266267747 4466747472675267 7426647776725242 7667766746757277 4677772467754442 6777667772452647 6667674472457662 6667676676572772 6726427667547776 7477776667747776	{"train":[{"input":[[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[9,0,0,0,9,0,0,0,4,9,0,0,0,9,0,0],[0,0,0,0,0,9,0,0,4,0,0,0,0,0,0,0],[9,0,9,0,0,0,0,9,1,4,0,0,0,0,0,0],[0,0,0,0,0,0,0,9,1,4,0,0,0,9,0,0],[0,0,9,9,0,9,0,0,1,9,4,0,0,0,0,0],[0,0,0,0,0,9,0,0,1,0,4,0,0,0,9,0],[0,9,0,0,9,0,0,0,0,9,0,4,0,0,0,0],[9,0,0,9,0,0,9,0,0,0,0,4,9,9...	1	dataset=solve_color group=swap_most_and_least_popular_colors predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=d
Simon-Solve-V1, O4T, predict raw pixels	I0 12 10 a80h8,a8h78,h1a78,h1a70,h1a78,h1a70,h1a78,,,i808 O0 12 10 1,,a1f2b1,,,,,,,1 I1 10 8 c8a08a08,80f80,8g70,,8g78,87f18,07f18,8g70 O1 10 8 1,,,,,a1f21,,1 I2 10 11 0f8a0,0b808a080,80g7,,08a1e7,80a1e7,a8a1e7,a0a1e7,a8a1e7,08g7, O2 10 11 1,,,,a1a2e1,,,,,1, I3T 11 12 80h7,80a7d1a7,08a7d1a7,,a8a7d1a7,,08a7d1a7,,a0a7d1a...	111111111111 111111111111 111111111111 122222222211 122222222211 122222222211 122222222211 122222222211 122222222211 122222222211 122222222211 111111111111 111111111111	{"train":[{"input":[[8,8,0,8,8,8,8,8,8,8,8,8],[8,8,7,7,7,7,7,7,7,7,7,8],[1,1,1,1,1,1,1,1,1,7,7,8],[1,1,1,1,1,1,1,1,1,7,7,0],[1,1,1,1,1,1,1,1,1,7,7,8],[1,1,1,1,1,1,1,1,1,7,7,0],[1,1,1,1,1,1,1,1,1,7,7,8],[1,1,1,1,1,1,1,1,1,7,7,8],[1,1,1,1,1,1,1,1,1,7,7,8],[8,8,8,8,8,8,8,8,8,8,0,8]],"output":[[1,1,1,1,1,1,1,1,1,1,1,1],[1,...	1	dataset=solve_zindex group=mask_of_intersection_rectangle predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
Simon-Solve-Version1 predict raw pixels for O3T	I0 7 15 6,,,,,67d6,a67c6,,b67a63,b67a36,a6a37a6,b6a0a6,d606,6, O0 7 15 0,,,,,07d0,a07c0,,b07a03,b07a30,a0a37a0,b0a6a0,d060,0, I1 10 19 49a40b9a0,0a89040a49,d989409,4040e9,9409a824a8,a489a02480,9048020490,904a929408,9a40208404,49a42494a8,a0a428a409,b049a4040,b024040a4,90a8404904,a94a9a4090,40840a4848,80849a4a09,b0a8949a...	1688 9928 8428 8488 8888 8468	{"train":[{"input":[[6,6,6,6,6,6,6],[6,6,6,6,6,6,6],[6,6,6,6,6,6,6],[6,6,6,6,6,6,6],[6,6,6,6,6,6,6],[6,7,6,6,6,6,6],[6,6,7,6,6,6,6],[6,6,7,6,6,6,6],[6,6,6,7,6,6,3],[6,6,6,7,3,3,6],[6,6,3,3,7,6,6],[6,6,6,0,0,6,6],[6,6,6,6,6,0,6],[6,6,6,6,6,6,6],[6,6,6,6,6,6,6]],"output":[[0,0,0,0,0,0,0],[0,0,0,0,0,0,0],[0,0,0,0,0,0,0],[...	0	dataset=solve_color group=swap_most_and_least_popular_colors predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=c
Simon-Solve-V1 predict raw pixels for O3T	I0 1 8 1,0,9,,,,,1 O0 2 1 09 I1 16 11 3784a38a34d37,b37a383438d3,d3478a3434374,a383c483473b8,3a4148c484b34,a3187a83b473a73,31d38a3b43a8,34b37b38a3a473,c3838384387373,d38i3,a38a3838a38738a3 O1 2 1 13 I2 12 22 4a71b2d6,4a61e732,4b61b61b7,43a61a631672,462a6161a673,46362a1c67,4262a61b632,4a626a1a6b2,463216163a62,4b61a61b62...	54	{"train":[{"input":[[1],[0],[9],[9],[9],[9],[9],[1]],"output":[[0,9]]},{"input":[[3,7,8,4,3,3,8,3,3,4,3,3,3,3,3,7],[3,3,3,7,3,3,8,3,4,3,8,3,3,3,3,3],[3,3,3,3,3,4,7,8,3,3,4,3,4,3,7,4],[3,3,8,3,4,4,4,4,8,3,4,7,3,8,8,8],[3,4,4,1,4,8,4,4,4,4,8,4,3,3,3,4],[3,3,1,8,7,8,8,3,4,4,4,7,3,7,7,3],[3,1,3,3,3,3,3,8,3,3,4,4,4,3,8,8],[...	0	dataset=solve_color group=identify_most_and_least_popular_colors rotate_2 predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=b
SIMON-SOLVE-V1, O3T, predict pixels	I0 19 19 8c12c12e128,4b21212b121a2a128,4c12121212121b28,41c2121212121b28,4b121a212121212a18,82d12b12e18,8a1d21a21a21a218,8a12d121a2a12a18,8212a1a212c12b18,4a1b2c121b21a28,412c1a212f18,8121b2a1b21c218,4a212a12c12d18,41212b1b212121a28,81a21a2c1a212b18,812d1212a12a1218,81212121212a1212a18,4c1a2a1a2e128,82f1c2a1b28 O0 19 1...	81211118 81212228 48121111 82121128 81211228 48111111 82222218 48111121 48112121 48212121 82212118 82212128 82211128	{"train":[{"input":[[8,1,1,1,1,2,1,1,1,1,2,1,1,1,1,1,1,2,8],[4,2,2,2,1,2,1,2,1,1,1,2,1,2,2,1,1,2,8],[4,1,1,1,1,2,1,2,1,2,1,2,1,2,1,2,2,2,8],[4,1,2,2,2,2,1,2,1,2,1,2,1,2,1,2,2,2,8],[4,1,1,1,2,1,2,2,1,2,1,2,1,2,1,2,1,1,8],[8,2,1,1,1,1,1,2,1,1,1,2,1,1,1,1,1,1,8],[8,1,1,2,2,2,2,2,1,2,2,1,2,2,1,2,2,1,8],[8,1,1,2,1,1,1,1,1,2...	0	dataset=solve_deform group=deform_line rotate_0 displacement_-1 predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=d
simon-solve-v1 predict raw pixels for 'O4T'	I0 14 8 474d7474a74,a74274a74747a4,47424a7a4c74,7472c7a4a747,b72a74c7474,4a724747a4c7,7472a4c74747,7b47a4a7b474 O0 14 8 1,b19i1,,,,,,1 I1 8 15 7e27,,,,7,a74d7,7,,b74c7,e747,74e7,a74d7,74c747,a74a74a7,7 O1 8 15 1e91,,,,1,,,,,,,,,, I2 15 6 g7c47a4,c24a74d7a4,c274d74a74,c2b74a74c7,a7474c747a4a7,74b74b74a74a7 O2 15 6 1,c9j...	11111111111 11111111119 11111111119 11111111119 11111111111 11111111111 11111111111 11111111111 11111111111	{"train":[{"input":[[4,7,4,7,7,7,7,7,4,7,4,7,7,4],[7,7,4,2,7,4,7,7,4,7,4,7,4,4],[4,7,4,2,4,7,7,4,4,7,7,7,7,4],[7,4,7,2,7,7,7,7,4,4,7,7,4,7],[7,7,7,2,7,7,4,7,7,7,7,4,7,4],[4,7,7,2,4,7,4,7,4,4,7,7,7,7],[7,4,7,2,4,4,7,7,7,7,4,7,4,7],[7,4,4,4,7,4,4,7,7,4,4,4,7,4]],"output":[[1,1,1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,9,1,1,1,1,1,...	1	dataset=solve_zindex group=mask_of_primary_rectangle predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
simon-solve-version1, 'O5T', predict the pixels	I0 10 12 a1b8b180,18b18a180,0b1a0a180,10b8041a0,10a10941a8,8106814b1,08960a8010,818061a081,a81b08b1,8c041b8,a08a164010,0808014a08 O0 21 12 j9a1b8b180,i918b18a1809,h90b1a0a180a9,g910b8041a0b9,f910a10941a8c9,e98106814b1d9,d908960a8010e9,c9818061a081f9,b9a81b08b1g9,a98c041b8h9,9a08a164010i9,0808014a08j9 I1 3 10 8a7,878,78...	977733777337 774411444449	{"train":[{"input":[[1,1,8,8,8,1,1,1,8,0],[1,8,1,1,1,8,1,1,8,0],[0,1,1,1,0,0,1,1,8,0],[1,0,8,8,8,0,4,1,0,0],[1,0,1,1,0,9,4,1,8,8],[8,1,0,6,8,1,4,1,1,1],[0,8,9,6,0,8,8,0,1,0],[8,1,8,0,6,1,0,0,8,1],[8,8,1,0,0,0,8,1,1,1],[8,0,0,0,0,4,1,8,8,8],[0,0,8,1,1,6,4,0,1,0],[0,8,0,8,0,1,4,0,0,8]],"output":[[9,9,9,9,9,9,9,9,9,9,9,1,...	1	dataset=solve_skew group=skew_left predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=c
SIMONSOLVEV1 predict raw pixels for O3T	I0 8 15 76a7a676,c4a767,c46b7,c4c7,c8a676,c86a76,c86767,c47676,,c476a7,c47676,c47a67,c4b76,c46767,c4a767 O0 8 15 4,,,,c8c4,,,4,,,,,,, I1 8 12 a7d46,7a8c46,7a8c47,6a8c47,7a8c47,a7d47,,,76d47,a7d47,, O1 8 12 4,a48d4,,,,4,,,,,, I2 12 8 4,,,,4c8f4,,6c876d7,6c8a76c7 O2 12 8 4,,,,4c8f4,,4, I3T 8 10 c7c8,c4c8,e4a7,,,,,7,,76c7...	44444444 44448844 44444444 44444444 44444444 44444444 44444444 44444444 44444444 44444444	{"train":[{"input":[[7,6,7,7,6,6,7,6],[4,4,4,4,7,7,6,7],[4,4,4,4,6,7,7,7],[4,4,4,4,7,7,7,7],[8,8,8,8,6,6,7,6],[8,8,8,8,6,7,7,6],[8,8,8,8,6,7,6,7],[4,4,4,4,7,6,7,6],[4,4,4,4,7,6,7,6],[4,4,4,4,7,6,7,7],[4,4,4,4,7,6,7,6],[4,4,4,4,7,6,6,7],[4,4,4,4,7,7,7,6],[4,4,4,4,6,7,6,7],[4,4,4,4,7,7,6,7]],"output":[[4,4,4,4,4,4,4,4],[...	0	dataset=solve_zindex group=mask_of_intersection_rectangle predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
Simon-Solve-Version1 'O4T' predict the pixels	I0 10 11 8,,f86a8,,,e86b8,,,,d86c8, O0 10 20 h58,g5a8,f5b8,e5c8,d5a86a8,c5b86a8,b5c86a8,a5g8,5d86b8,e86b8,,e86a85,g8a5,d868b5,d86c5,d8d5,c8e5,b8f5,a8g5,8h5 I1 7 15 101a202,201a202,a271202,a275120,a275130,2125132,a252412,a857141,a251204,a251012,2517b2,2517020,0527b2,b20b2,d232 O1 7 21 e52,d502,c5202,b5a2a0,a51b20,50b132...	555555555555550 555555555555525 555555555555255 555555555552555 555555555505555 555555555055555 555555550555555 555555505555555 555555355555555 555553555555555 555535555555555 555355555555555 553555555555555 595555555555555 955555555555555	{"train":[{"input":[[8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,6,8,8],[8,8,8,8,8,8,8,6,8,8],[8,8,8,8,8,8,8,6,8,8],[8,8,8,8,8,8,6,8,8,8],[8,8,8,8,8,8,6,8,8,8],[8,8,8,8,8,8,6,8,8,8],[8,8,8,8,8,8,6,8,8,8],[8,8,8,8,8,6,8,8,8,8],[8,8,8,8,8,6,8,8,8,8]],"output":[[5,5,5,5,5,5,5,5,5,8],[5,5,5,5,5,5,5,5,8,8],[5,...	0	dataset=solve_skew group=skew_up predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=c
SIMONSOLVEV1 predict pixels for 'O4T'	I0 16 19 a0a6018d1a081,a6a1016101b0401,b08b106b094a1,86802a0108a09408,80362a1a6a091040,a036520101910141,a13a62a08901a841,b03652019a1a848,608305209a010614,b0315798086b14,810301791808b04,6a0606972a101a01,b0a190721016a10,08a09018b08a1a0,a0109b07101a016,a0890a6087a10808,06a1016a0710a1a6,10606018187a1a06,60181061a071c0 O0 1...	1 9	{"train":[{"input":[[0,0,6,6,0,1,8,1,1,1,1,1,0,0,8,1],[6,6,1,1,0,1,6,1,0,1,0,0,0,4,0,1],[0,0,0,8,1,1,1,0,6,0,0,0,9,4,1,1],[8,6,8,0,2,0,0,1,0,8,0,0,9,4,0,8],[8,0,3,6,2,1,1,6,6,0,0,9,1,0,4,0],[0,0,3,6,5,2,0,1,0,1,9,1,0,1,4,1],[1,1,3,6,6,2,0,0,8,9,0,1,8,8,4,1],[0,0,0,3,6,5,2,0,1,9,1,1,8,8,4,8],[6,0,8,3,0,5,2,0,9,0,0,1,0,6...	0	dataset=solve_color group=identify_most_and_least_popular_colors rotate_1 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
simonsolvev1 'O3T' predict the raw pixels	I0 10 23 h69,g679,f6b9,e69639,d6a93a9,c6396936,b6b96a93,b636a96a9,6a969639a3,a96b97b9,393b976a9,3739a39363,3676739367,69367a9a69,3a9396a9a6,67969369a6,696b9c6,3b63d6,6a93e6,9693e6,3h6,a9g6,6 O0 10 14 a9693b979,3a93b96a9,39b696a39,373b96b9,a63a96a939,397b93696,6936397a93,6796737939,3a93739693,c6b93a9,a96a969369,3696939a...	854858884788484 488788888848885 587878458878888 487148888848858 447188888888885 585818888788888 888418874488848 448718888887887 888881888888488 788751747444784 888881888884888 848488188885888 488478158488588 848874878888874 884878874478478 848878588484884	{"train":[{"input":[[6,6,6,6,6,6,6,6,6,9],[6,6,6,6,6,6,6,6,7,9],[6,6,6,6,6,6,6,9,9,9],[6,6,6,6,6,6,9,6,3,9],[6,6,6,6,6,9,9,3,9,9],[6,6,6,6,3,9,6,9,3,6],[6,6,6,9,9,9,6,9,9,3],[6,6,6,3,6,9,9,6,9,9],[6,9,9,6,9,6,3,9,3,3],[9,9,6,9,9,9,7,9,9,9],[3,9,3,9,9,9,7,6,9,9],[3,7,3,9,3,3,9,3,6,3],[3,6,7,6,7,3,9,3,6,7],[6,9,3,6,7,9,9...	1	dataset=solve_skew group=unskew_up predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=c
SIMON-SOLVE-VERSION1 'O2T' predict the raw pixels	I0 13 13 b71a7171a717,j317,j3a7,3d4d317,3d4d3a7,3d4d371,3d4d3a7,7d41a7a1a7,1d4a717171,7d4a717a17,1d4717a1a7,b71a717a1717,a7a171b71a71 O0 13 13 0,,,0d4f0,,,,0,,,,, I1 11 9 i31,i37,,,,i31,i37,b3c4b37, O1 11 9 0,,,,,,,b0c4c0, I2T 13 14 1c7a1b7171,1k7,71a7c171b7,a717a317a1b7,17a1a3c7171,c7a41b7171,a717a4f7,c7a4d717,7a17a4d...	0000000000000 0000000000000 0000000000000 0000000000000 0000000000000 0000440000000 0000440000000 0000440000000 0000440000000 0000440000000 0000440000000 0000440000000 0000440000000 0000000000000	{"train":[{"input":[[7,7,7,1,7,7,1,7,1,7,7,1,7],[3,3,3,3,3,3,3,3,3,3,3,1,7],[3,3,3,3,3,3,3,3,3,3,3,7,7],[3,4,4,4,4,4,3,3,3,3,3,1,7],[3,4,4,4,4,4,3,3,3,3,3,7,7],[3,4,4,4,4,4,3,3,3,3,3,7,1],[3,4,4,4,4,4,3,3,3,3,3,7,7],[7,4,4,4,4,4,1,7,7,1,1,7,7],[1,4,4,4,4,4,7,7,1,7,1,7,1],[7,4,4,4,4,4,7,7,1,7,1,1,7],[1,4,4,4,4,4,7,1,7,1...	0	dataset=solve_zindex group=mask_of_intersection_rectangle predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
simon-solve-v1, 'O5T', predict the pixels	I0 16 10 f53g5,e53h5,,d53i5,,c53j5,,b53k5,,5 O0 1 2 5,3 I1 11 14 c15c1a8,b15b1a821,d1482b1,c142515a1,a124a15c1,a145f1,14h1,g15a1,1,e15c1,b15d171,e151761,g16a1,a15c16b1 O1 1 2 1,7 I2 10 12 a60a606163,a30a63a261,61d6323,63a636a360,6160a6a030,63a63d6,3160a6a1a3,b1a613b6,1610a63636,631063a030,a61630b30,60a6031606 O2 1 2 6,...	2 1	{"train":[{"input":[[5,5,5,5,5,5,5,3,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,3,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,3,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,3,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,3,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,3,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,3,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,3,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,3,5,5,5,5,5,5,5,5,5,5...	1	dataset=solve_color group=identify_most_and_least_popular_colors rotate_3 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
SIMONSOLVEVERSION1, O3T, predict pixels	I0 15 16 6b29d2c94,429a2c9b2924,42a9d2a92924,6d2a9c2924,42b929b2b924,6c2f9a24,42a929e2924,42929a2c92924,629a2929c2924,62b9a292b9294,6c29a292a9a24,62b92b9292924,6292929b29b24,42b9292a929a24,429a2a9a292b94,49h2b94 O0 15 16 64b29d2c9,429a2c9b2924,42a9d2a92924,64d2a9c292,42b929b2b924,64c2f9a2,42a929e2924,42929a2c92924,6429...	42222222222222294 64229999299292992 49922922292292224 64992922229299922 64222229229222292 49299992929299924 49229229229229924 49922929929999294 49922929222229294 42292929299292224 64992229922929992 42222999222222224	{"train":[{"input":[[6,2,2,2,9,2,2,2,2,2,9,9,9,9,4],[4,2,9,2,2,9,9,9,9,2,2,2,9,2,4],[4,2,9,9,2,2,2,2,2,9,9,2,9,2,4],[6,2,2,2,2,2,9,9,2,2,2,2,9,2,4],[4,2,9,9,9,2,9,2,2,2,9,9,9,2,4],[6,2,2,2,2,9,9,9,9,9,9,9,2,2,4],[4,2,9,9,2,9,2,2,2,2,2,2,9,2,4],[4,2,9,2,9,2,2,9,9,9,9,2,9,2,4],[6,2,9,2,2,9,2,9,2,2,2,2,9,2,4],[6,2,9,9,9,2...	0	dataset=solve_deform group=deform_line rotate_0 displacement_-1 predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d
simon-solve-version1, O4T, predict raw pixels	I0 13 22 3,69e69c6,696969a6969a6,a969a6b9a696,9b6a96969696,6a9696b96a96,a696969e6,6a969696a9696,9b6969a69a69,c9696a9a696,9c69b6a9a6,6a9b6969a696,96969696c96,d69d696,6c9a6969696,a69a6b969696,a69d6969a6,96d96969a6,6969a69a6b96,696a9a6a9c6,a69b69b69a6,232a3c23a23 O0 13 22 393a6c36a36,6969c69c6,696969a6969a6,9b696c9696,a9a...	36363333336663 96669966666999 69966669696966 66969999996666 63639966663336 23232222223332	{"train":[{"input":[[3,3,3,3,3,3,3,3,3,3,3,3,3],[6,9,6,6,6,6,6,6,9,6,6,6,6],[6,9,6,9,6,9,6,6,9,6,9,6,6],[9,9,6,9,6,6,9,9,9,6,6,9,6],[9,6,6,6,9,9,6,9,6,9,6,9,6],[6,9,9,6,9,6,9,9,9,6,9,9,6],[6,6,9,6,9,6,9,6,6,6,6,6,6],[6,9,9,6,9,6,9,6,9,9,6,9,6],[9,6,6,6,9,6,9,6,6,9,6,6,9],[9,9,9,9,6,9,6,9,9,6,6,9,6],[9,6,6,6,6,9,6,6,6,9...	0	dataset=solve_deform group=deform_line rotate_1 displacement_-1 predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=d
Simon-Solve-V1, 'O2T', predict the raw pixels	I0 9 14 8g2,86a80b20,60a2a6b2,276a20262,267b28a2,a28786a26,a28276260,a8b27a26,b20a2762,8a6868270,a2b8a267,280d28,28020b82,860c202 O0 9 22 g52,f520,e5b2,d5c2,c5b262,b5206a26,a52860820,528c2a6,86b26b2,806286260,6g7,268c268,a28a28b2,b206a282,282a82805,8268282a5,268202b5,820a2c5,2802d5,280e5,26f5,8g5 I1 9 14 18a48b48,4a1e4...	55559 55579 55979 58899 98899 92899 92889 92188 99998 29999 29995 29955 29555 25555	{"train":[{"input":[[8,2,2,2,2,2,2,2,2],[8,6,8,8,0,2,2,2,0],[6,0,2,2,6,6,2,2,2],[2,7,6,2,2,0,2,6,2],[2,6,7,2,2,2,8,2,2],[2,2,8,7,8,6,2,2,6],[2,2,8,2,7,6,2,6,0],[8,8,2,2,2,7,2,2,6],[2,2,2,0,2,2,7,6,2],[8,6,6,8,6,8,2,7,0],[2,2,8,8,8,2,2,6,7],[2,8,0,2,2,2,2,2,8],[2,8,0,2,0,8,8,8,2],[8,6,0,2,2,2,2,0,2]],"output":[[5,5,5,5,...	0	dataset=solve_skew group=skew_up predict=rawpixels earlier_prediction=none image_width=small image_height=large task_pixels=b
simon-solve-version1 predict pixels for O2T	I0 8 11 d10a1,a13b4a1,a13b401,013b4a1,a13b4a1,,,,a1a3c1,c10b1,e101 O0 8 11 d10a1,a1a3a4a1,a1a3a401,01a3a4a1,a1a3a4a1,,,,a1a3c1,c10b1,e101 I1 9 7 10d310,0e4a1,0e4a0,1e4a1,a1d3a1,,10d3a1 O1 9 7 10d310,04d3a1,04d3a0,14d3a1,a1d3a1,,10d3a1 I2T 7 15 a10c1,b10b1,1c3a1,13c41,,,1c3a1,0c3a1,01a0b1,b10b1,10d1,0e1,1,c1010,1010b1 O...	1101111 1110111 1333311 1333341 1333341 1333341 1333311 0333311 0100111 1110111 1011111 0111111 1111111 1111010 1010111	{"train":[{"input":[[1,1,1,1,1,0,1,1],[1,1,3,4,4,4,1,1],[1,1,3,4,4,4,0,1],[0,1,3,4,4,4,1,1],[1,1,3,4,4,4,1,1],[1,1,3,4,4,4,1,1],[1,1,3,4,4,4,1,1],[1,1,3,4,4,4,1,1],[1,1,3,3,1,1,1,1],[1,1,1,1,0,1,1,1],[1,1,1,1,1,1,0,1]],"output":[[1,1,1,1,1,0,1,1],[1,1,3,3,4,4,1,1],[1,1,3,3,4,4,0,1],[0,1,3,3,4,4,1,1],[1,1,3,3,4,4,1,1],[...	0	dataset=solve_zindex group=move_obscured_rectangle_to_top predict=rawpixels earlier_prediction=none image_width=small image_height=medium task_pixels=b
simonsolvev1, O4T, predict pixels	I0 6 15 1,,,0,,1,,a19b1,1,b1a91,c191,19c1,1,,19b19 O0 6 15 5,,,0,,5,,,,,,,,, I1 15 7 a19a19d19191,9g19d1,a1a9g19a1,191a0c19d1,b1a0d19a191,9a1a01919b19a1,19a19a19f1 O1 15 7 5,,,b5a0i5,,,5 I2 7 15 b1b01,,191b01,b1b01,1,,c19a1,d191,1,d191,c1919,e19,19d1,1,e19 O2 7 15 b5b05,,,,5,,,,,,,,,, I3 15 7 c091a919c19,c09b19e1,c0b1a...	5555555 5555555 5555555 5555555 5555555 5555555 5555555 5555555 0000555 5555555	{"train":[{"input":[[1,1,1,1,1,1],[1,1,1,1,1,1],[1,1,1,1,1,1],[0,0,0,0,0,0],[0,0,0,0,0,0],[1,1,1,1,1,1],[1,1,1,1,1,1],[1,1,9,1,1,1],[1,1,1,1,1,1],[1,1,1,9,9,1],[1,1,1,1,9,1],[1,9,1,1,1,1],[1,1,1,1,1,1],[1,1,1,1,1,1],[1,9,1,1,1,9]],"output":[[5,5,5,5,5,5],[5,5,5,5,5,5],[5,5,5,5,5,5],[0,0,0,0,0,0],[0,0,0,0,0,0],[5,5,5,5,...	0	dataset=solve_zindex group=mask_of_primary_rectangle predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
simon-solve-version1, 'O4T', predict the pixels	I0 12 7 6,d62d68,a6a1672c68,c6a42a6a96,e6a49b6,c6a4a6a4a6,b649d6a4 O0 12 7 7,d72d78,a7a1762c78,c7a42a7a97,e7a49b7,c7a4a7a4a7,b749d7a4 I1 14 14 1d8a1a81818,18d1a8a1818,a1b8b1818a10,810a818b1a808,a8108a1a8a1021,b10a16a1802a8,18a102168012a8,1c80a20a8381,18b1080a283a1,18b1801982381,b8b1a8983b8,a81a81a68931a8,a81c81a63181,1...	00300009 99000030 09090000	{"train":[{"input":[[6,6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,2,6,6,6,6,6,8],[6,6,1,1,6,7,2,6,6,6,6,8],[6,6,6,6,4,4,2,6,6,9,9,6],[6,6,6,6,6,6,4,4,9,6,6,6],[6,6,6,6,4,4,6,6,4,4,6,6],[6,6,6,4,9,6,6,6,6,6,4,4]],"output":[[7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,2,7,7,7,7,7,8],[7,7,1,1,7,6,2,7,7,7,7,8],[7,7,7,7,4,4,2,7,7,9,9,7],[7,...	0	dataset=solve_color group=swap_most_and_least_popular_colors predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=c
simonsolvev1 predict raw pixels for O4T	I0 6 9 a8a545,6a8b5,82b35,82c5,8246a5,b67a5,415a75,818a75,865a45 O0 1 2 5,1 I1 19 12 9,,i9a5a97c9,k9a397b9,i9a3a9a57a9,h93e9739,m9a3979,d9a39b8g9,b9a3b8a63g9,a938a9a6j9,c9a6l9,9 O1 1 2 9,5 I2 3 9 868,a86,8a6,086,0a6,060,260,6,6a0 O2 1 2 6,2 I3T 2 22 0,,,30,,03,,09,,,,,,,,,,,0,,, O3T None I4T 21 5 a2a45c0g2a5a2,2c0a4i5c...	2 4	{"train":[{"input":[[8,8,5,5,4,5],[6,8,8,5,5,5],[8,2,3,3,3,5],[8,2,5,5,5,5],[8,2,4,6,5,5],[6,6,6,7,5,5],[4,1,5,7,7,5],[8,1,8,7,7,5],[8,6,5,4,4,5]],"output":[[5],[1]]},{"input":[[9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,5,5,9,9,7,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,...	1	dataset=solve_color group=identify_most_and_least_popular_colors rotate_3 predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=a
Simon-Solve-Version1 'O5T' predict the pixels	I0 18 3 a94a9b69298a43249,9a28424d6342b9,9d4a3a84b694a9 O0 16 3 4a9b69298a43249,a28424d6342a9,9d4a3a84b694 I1 20 14 l9e61,k9d6219,j9b6a216a9,i9a62a616b9,h9c61a6c9,g9c61a6d9,f9b612a6e9,e9b61626f9,d9a614626g9,c9a61b64h9,b9614c6i9,a9a6b4a6j9,96a4c6k9,64d6l9 O1 7 14 e61,d621,b6a216,a62a616,c61a6,,b612a6,b61626,a614626,a61b...	68 11 43 33 33 39	{"train":[{"input":[[9,9,4,9,9,6,6,6,9,2,9,8,4,4,3,2,4,9],[9,2,2,8,4,2,4,6,6,6,6,6,3,4,2,9,9,9],[9,4,4,4,4,4,3,3,8,8,4,6,6,6,9,4,9,9]],"output":[[4,9,9,6,6,6,9,2,9,8,4,4,3,2,4,9],[2,2,8,4,2,4,6,6,6,6,6,3,4,2,9,9],[9,4,4,4,4,4,3,3,8,8,4,6,6,6,9,4]]},{"input":[[9,9,9,9,9,9,9,9,9,9,9,9,9,6,6,6,6,6,6,1],[9,9,9,9,9,9,9,9,9,...	1	dataset=solve_skew group=unskew_left predict=rawpixels earlier_prediction=none image_width=other image_height=medium task_pixels=c
SIMONSOLVEV1, O4T, predict pixels	I0 10 15 e65b6,f65a6,6,d6565a6,e65b6,h16,,h15,h16,6,a65e65,65d65a6,6,5c65c6,a65f6 O0 10 15 2,,,,,h72,,,,2,,,,, I1 15 6 b65b65f6,d6c1d65,g65b65a6,b6a5b6565c6,5k656,6a5d6a56a5a6 O1 15 6 2,d2c7e2,2,,, I2 6 14 61c6,51c6,61a656,61b65,515b6,61c6,51c6,615b6,61b65,61a656,51c6,5165a6,51c6, O2 6 14 27c2,,,,,,,,,,,,, I3T 14 9 h65...	222222222 227772222 227772222 227772222 227772222 227772222	{"train":[{"input":[[6,6,6,6,6,6,5,6,6,6],[6,6,6,6,6,6,6,5,6,6],[6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,5,6,5,6,6],[6,6,6,6,6,6,5,6,6,6],[1,1,1,1,1,1,1,1,1,6],[1,1,1,1,1,1,1,1,1,6],[1,1,1,1,1,1,1,1,1,5],[1,1,1,1,1,1,1,1,1,6],[6,6,6,6,6,6,6,6,6,6],[6,6,5,6,6,6,6,6,6,5],[6,5,6,6,6,6,6,5,6,6],[6,6,6,6,6,6,6,6,6,6],[5,6,6,6,6,5,6...	1	dataset=solve_zindex group=mask_of_primary_rectangle predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
simonsolvev1 predict raw pixels for 'O3T'	I0 12 6 7d4c737,3d4d73,7d4a73737,3d4d73,b73f73,a73c7373a7 O0 12 6 6d5e6,,,,6, I1 6 9 b7373,73c7,7,c4a7,c473,b7a37,3d7,a73a73,a37a37 O1 6 9 6,,,c5a6,,6,,, I2T 9 10 7a3b73a7,73b73a73,a7b3a7a3,a7b373a7,7a373b73,b3a73b7,b7a47a37,3a7a4c7,a73a43b7,7a3a4a3a7 O2T None I3T 10 12 7,3h7,7,,,3d7c4,737a37c4,e7c4,,7,h73,e73a73 O3T N...	6666666666 6666666666 6666666666 6666666666 6666666666 6666665555 6666665555 6666665555 6666665555 6666666666 6666666666 6666666666	{"train":[{"input":[[7,4,4,4,4,4,7,7,7,7,3,7],[3,4,4,4,4,4,7,7,7,7,7,3],[7,4,4,4,4,4,7,7,3,7,3,7],[3,4,4,4,4,4,7,7,7,7,7,3],[7,7,7,3,7,7,7,7,7,7,7,3],[7,7,3,7,7,7,7,3,7,3,7,7]],"output":[[6,5,5,5,5,5,6,6,6,6,6,6],[6,5,5,5,5,5,6,6,6,6,6,6],[6,5,5,5,5,5,6,6,6,6,6,6],[6,5,5,5,5,5,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6,6],[6,...	1	dataset=solve_zindex group=mask_of_primary_rectangle predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
SIMONSOLVEVERSION1 predict raw pixels for 'O5T'	I0 13 21 9a8a68e67,98d6b8a67,98a6b8b6a87,96868b686a87,9b686a8c67,9a86b86b867,9b6868a68a67,96a8c6b867,7a8a6868c67,78a68a686a867,96868a68b687,9a68a68686a87,9a6868a68a687,98686868a6867,76a8b68a6867,7b6a8686a867,968c686a867,968a6b8c67,968c686a867,96e868a67,9j67 O0 13 21 9a8a68e67,98d6b8a67,98a6b8b6a87,96868b686a87,9b686a8c...	76668676 76866676 96688867 96866867 96866867 96868667 78688676 78668676 96868867 96866867 96886867 96866867 96868867 76868676 76868678 96686887 78668876 78886676 76668676	{"train":[{"input":[[9,8,8,6,6,8,6,6,6,6,6,6,7],[9,8,6,6,6,6,6,8,8,8,6,6,7],[9,8,6,6,8,8,8,6,6,6,8,8,7],[9,6,8,6,8,6,6,6,8,6,8,8,7],[9,6,6,6,8,6,8,8,6,6,6,6,7],[9,8,8,6,8,8,8,6,8,8,8,6,7],[9,6,6,6,8,6,8,6,6,8,6,6,7],[9,6,8,8,6,6,6,6,8,8,8,6,7],[7,8,8,6,6,8,6,8,6,6,6,6,7],[7,8,6,6,8,6,6,8,6,8,8,6,7],[9,6,8,6,8,6,6,8,6,6...	1	dataset=solve_deform group=deform_line rotate_0 displacement_1 predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d
Simon-Solve-Version1, O3T, predict pixels	I0 2 6 26,9,,,95,65 O0 2 5 29,9,,95, I1 8 15 6,8f6,6a2d6,5f6,a6a5c6,65a65b6,,2a656a56,68685865,b65a686,f65,6,,,f65 O1 8 8 a62d6,826a56a5,a656a5a6,5c6a85,656a5b6,6568c6,b65c6,28d65 I2 3 11 2a6,a26,7a2,726,,7a6,262,267,,6a2,a62 O2 3 9 2,a26,726,,762,767,267,262,2 I3T 11 23 3i6,,301g6,a313f6,601a3e6,b3b0d6,60d3c6,313a1313...	36133033633 30130313666 33103333360 30331333161 63316063366 30336363333 61133163333 36131600631 03630630336 03333363036 30006130013 33303311313 00311131633	{"train":[{"input":[[2,6],[9,9],[9,9],[9,9],[9,5],[6,5]],"output":[[2,9],[9,9],[9,9],[9,5],[9,5]]},{"input":[[6,6,6,6,6,6,6,6],[8,6,6,6,6,6,6,6],[6,2,2,6,6,6,6,6],[5,6,6,6,6,6,6,6],[6,6,5,5,6,6,6,6],[6,5,6,6,5,6,6,6],[6,5,6,6,5,6,6,6],[2,6,6,5,6,5,5,6],[6,8,6,8,5,8,6,5],[6,6,6,5,6,6,8,6],[6,6,6,6,6,6,6,5],[6,6,6,6,6,6,...	0	dataset=solve_skew group=unskew_down predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=b
SIMONSOLVEVERSION1, O2T, predict pixels	I0 16 3 g2a4a3c2,b2e4a0b3a2,b2e8f4 O0 18 3 a7g2a4a3c2,7b2e4a0b3a27,b2e8f4a7 I1 2 9 1,,91,19,,17,71,, O1 10 9 g7a1,f7a17,e791a7,d719b7,c719c7,b71e7,,a71f7,71g7 I2T 13 8 e68c686,d68f6,b68h6,d679e6,b6a276a9c6,6868931e6,68a63e686,6 O2T None I3T 3 11 2,a30,085,383,a04,,274,072,272,073,250 O3T None	77777776666668666686 77777766666866666667 77777666866666666677 77776666679666666777 77766622769966667777 77686893166666677777 76866366666686777777 66666666666667777777	{"train":[{"input":[[2,2,2,2,2,2,2,2,4,4,3,3,2,2,2,2],[2,2,2,4,4,4,4,4,4,0,0,3,3,3,2,2],[2,2,2,8,8,8,8,8,8,4,4,4,4,4,4,4]],"output":[[7,7,2,2,2,2,2,2,2,2,4,4,3,3,2,2,2,2],[7,2,2,2,4,4,4,4,4,4,0,0,3,3,3,2,2,7],[2,2,2,8,8,8,8,8,8,4,4,4,4,4,4,4,7,7]]},{"input":[[1,1],[1,1],[9,1],[1,9],[1,9],[1,7],[7,1],[7,1],[7,1]],"outpu...	0	dataset=solve_skew group=skew_left predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
simonsolveversion1 'O4T' predict the pixels	I0 23 15 35c15h15c153,7151a5b151c5a1b5153,3d151a5d1515a1a53,71b515a1d5151a5a153,3b151515b15a15b1a513,351a5e151a515b1513,35c1c515b151a51a53,31b5f151a515b153,3d1g5b1515153,71b5g15151515a13,315a1g51515151a53,351515e15b151a5a13,7b51e51d515b13,7a5a15d1b5a151c53,7a515a1515c1515d13 O0 23 15 35c15h15c153,751a5b151c5a1b51531,3d...	35511115115511153 75515151555155531 71155111111511531 31511515511111153 75115515151551531 31515511511111153 75111551555551131 31155111511151513 31511551515151513 35515115151511513 75151511115515131 71155155551515131 31515111111151513 35115151555151513 35115151511515513 71515115511111135 71115151555155135 71151111111551...	{"train":[{"input":[[3,5,1,1,1,1,5,1,1,1,1,1,1,1,1,1,5,1,1,1,1,5,3],[7,1,5,1,5,5,1,1,1,5,1,5,5,5,5,1,1,5,5,5,1,5,3],[3,1,1,1,1,1,5,1,5,5,1,1,1,1,1,5,1,5,1,1,5,5,3],[7,1,5,5,5,1,5,1,1,5,5,5,5,5,1,5,1,5,5,1,1,5,3],[3,1,1,1,5,1,5,1,5,1,1,1,5,1,1,5,1,1,1,5,5,1,3],[3,5,1,5,5,1,1,1,1,1,1,5,1,5,5,1,5,1,1,1,5,1,3],[3,5,1,1,1,1...	0	dataset=solve_deform group=deform_line rotate_0 displacement_1 predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=d
SIMON-SOLVE-V1, O2T, predict pixels	I0 14 13 d2g02,c23g02,5,,,,,,,d2g02,,d2g03,a3a23g03 O0 14 13 d2g02,c23g02,d5g05,,,,,,,d2g02,,d2g03,a3a23g03 I1 13 8 32f53a23,a2f52323,a0f5c0,,,,0, O1 13 8 32f53a23,a2f52323,0,,,,, I2T 13 8 a3h5a2,a2h523,23h5a2,a2h5a2,23h532,32h5a2,a0h523,h03b2 O2T None	3355555555522 2255555555523 2355555555522 2255555555522 2355555555532 3255555555522 0000000005523 0000000003222	{"train":[{"input":[[2,2,2,2,2,0,0,0,0,0,0,0,0,2],[2,2,2,2,3,0,0,0,0,0,0,0,0,2],[5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5],[2,2,2,2,2,0,0,0,0,0,0,0,0,2],...	0	dataset=solve_zindex group=move_obscured_rectangle_to_top predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
SIMONSOLVEV1 'O3T' predict the pixels	I0 9 15 8a18d1,1f71,,,,,,1f78,1f71,,1f78,8f08,1f01,,8f71 O0 9 15 0,,,,,,,,,,,0f80,,,0 I1 15 10 b1a818b1b818,e1b818b18,8a1a8a1a81a8a18,1i7b07,8i7b07,1i7b07,,8i7b07,c18a18a1a8a18,81c818b18b1 O1 15 10 0,,,j0b80,,,,,0, I2T 9 6 b181c7,d1c7,b181c7,1d0b7,8d0b7,1d0181 O2T None I3T 6 6 d71,b7b0,,d78,d71, O3T None	000000 000880 000880 000000 000000 000000	{"train":[{"input":[[8,1,1,8,1,1,1,1,1],[1,7,7,7,7,7,7,7,1],[1,7,7,7,7,7,7,7,1],[1,7,7,7,7,7,7,7,1],[1,7,7,7,7,7,7,7,1],[1,7,7,7,7,7,7,7,1],[1,7,7,7,7,7,7,7,1],[1,7,7,7,7,7,7,7,8],[1,7,7,7,7,7,7,7,1],[1,7,7,7,7,7,7,7,1],[1,7,7,7,7,7,7,7,8],[8,0,0,0,0,0,0,0,8],[1,0,0,0,0,0,0,0,1],[1,0,0,0,0,0,0,0,1],[8,7,7,7,7,7,7,7,1]]...	1	dataset=solve_zindex group=mask_of_intersection_rectangle predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
simonsolvev1 predict pixels for 'O4T'	I0 18 6 4b6a46a46a4a64a64,8c28k2,8a28c2b8a2828a2,2f8a2c82a82,g28e28a2,6 O0 18 6 4b6a46a46a4a64a64,6b2a62a62a6a26a26,8a2828b28b2828a2,c8a2828282a82a82,c2a828a2a8b28a2,2b6a26286a2a62a62 I1 19 20 46a46b4b6b4d6,k28e2,2828d2a8a2c8a2,282828d2a8b2a82,a82e828a2a8b28,a8a2d8b282b8a2,282a8a2828282b8b2,28c2828g282,282b8a282e8282,2...	6644444646666446 2866666868888668 2882228222222228 8882882222888228 2888882282222888 2888888288288228 2222822282822828 2822288282822228 2888822882888288 2222288228222882 2282888882828222 8882828222882288 2282222282888822 2828828828222222 2288228228288282 8228282828282288 8288288282222288 8822222222888888 66228226266668...	{"train":[{"input":[[4,6,6,6,4,4,6,4,4,6,4,4,6,6,4,6,6,4],[8,2,2,2,2,8,2,2,2,2,2,2,2,2,2,2,2,2],[8,2,2,8,2,2,2,2,8,8,8,2,2,8,2,8,2,2],[2,8,8,8,8,8,8,8,2,2,8,8,8,8,2,8,8,2],[2,2,2,2,2,2,2,2,8,2,2,2,2,2,2,8,2,2],[6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6]],"output":[[4,6,6,6,4,4,6,4,4,6,4,4,6,6,4,6,6,4],[6,2,2,2,6,6,2,6,6,2,6,...	1	dataset=solve_deform group=deform_line rotate_3 displacement_-1 predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=d
simon-solve-version1 'O2T' predict the raw pixels	I0 7 15 d489,d4a8,,,,d489,d4a8,,,a4c28,,d4a8,d489,d498,d4a9 O0 7 15 d489,d4a8,,,,d489,d4a8,,,d428,,d4a8,d489,d498,d4a9 I1 9 6 c8a4898,8g2,9g2,a898a4b8,a989a4b8,8989a8a98 O1 9 6 c8a4898,8b2a4b2,9b2a4b2,a898a4b8,a989a4b8,8989a8a98 I2T 9 9 g89,a89e8,f898,8,989e8,4,e2b4,4, O2T None	888888889 889888888 888888898 888888888 989888888 444444444 444444444 444444444 444444444	{"train":[{"input":[[4,4,4,4,4,8,9],[4,4,4,4,4,8,8],[4,4,4,4,4,8,8],[4,4,4,4,4,8,8],[4,4,4,4,4,8,8],[4,4,4,4,4,8,9],[4,4,4,4,4,8,8],[4,4,4,4,4,8,8],[4,4,4,4,4,8,8],[4,4,2,2,2,2,8],[4,4,2,2,2,2,8],[4,4,4,4,4,8,8],[4,4,4,4,4,8,9],[4,4,4,4,4,9,8],[4,4,4,4,4,9,9]],"output":[[4,4,4,4,4,8,9],[4,4,4,4,4,8,8],[4,4,4,4,4,8,8],[...	0	dataset=solve_zindex group=move_obscured_rectangle_to_top predict=rawpixels earlier_prediction=none image_width=small image_height=medium task_pixels=a
SIMON-SOLVE-V1 'O5T' predict the raw pixels	I0 9 19 8b4c98,84b94a98,89c4946,8c9a498,89c4a96,8a9b4a96,8a9d48,8c4a948,84a94b98,8a49b496,849494a96,8494a9a48,849b4a98,84c9498,89e48,84c9496,8a494b96,84a9b496,84c9a46 O0 9 19 8b4c98,84b94a98,9c49486,8c9a498,9c4a986,a9b4a986,8a9d48,8c4a948,84a94b98,a49b4986,49494a986,8494a9a48,849b4a98,84c9498,89e48,4c94986,a494b986,4a9...	8999999998 9494949986 8949494948 8994499948 9499494486 8949499448 9494499486 8999994448 8949499948 8499449498 8499944948	{"train":[{"input":[[8,4,4,4,9,9,9,9,8],[8,4,9,9,9,4,9,9,8],[8,9,4,4,4,4,9,4,6],[8,9,9,9,9,4,4,9,8],[8,9,4,4,4,4,9,9,6],[8,9,9,4,4,4,9,9,6],[8,9,9,4,4,4,4,4,8],[8,4,4,4,4,9,9,4,8],[8,4,9,9,4,9,9,9,8],[8,4,4,9,4,4,4,9,6],[8,4,9,4,9,4,9,9,6],[8,4,9,4,9,9,4,4,8],[8,4,9,4,4,4,9,9,8],[8,4,9,9,9,9,4,9,8],[8,9,4,4,4,4,4,4,8],...	1	dataset=solve_deform group=deform_line rotate_2 displacement_-1 predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=c
Simon-Solve-Version1 predict raw pixels for 'O3T'	I0 2 14 82,42,82,42,28,,78,73,4,84,87,,74,48 O0 2 1 38 I1 1 20 1,2,1,,,,,,2,1,,3,,,,,,,,2 O1 2 1 21 I2 21 22 70b7h47d47,7d4a7404b7a40c4,a7a47a404a7b474707a4,b5740a4a7a47a47a4a74,6a7d5c4747b4704,67a4b74c570a4a7474,6d47b454d5c4,64a747a4717547474b84,647a47a47145d840a4,6b4a7b8185a4a74a7a4,6a40a8a41474574707b4,467404041a705...	95	{"train":[{"input":[[8,2],[4,2],[8,2],[4,2],[2,8],[2,8],[7,8],[7,3],[4,4],[8,4],[8,7],[8,7],[7,4],[4,8]],"output":[[3,8]]},{"input":[[1],[2],[1],[1],[1],[1],[1],[1],[2],[1],[1],[3],[3],[3],[3],[3],[3],[3],[3],[2]],"output":[[2,1]]},{"input":[[7,0,7,7,7,4,4,4,4,4,4,4,4,4,7,4,4,4,4,4,7],[7,4,4,4,4,4,7,7,4,0,4,7,7,7,4,4,0...	0	dataset=solve_color group=identify_most_and_least_popular_colors rotate_2 predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=b
Simon-Solve-V1, 'O4T', predict the raw pixels	I0 7 20 4d94,0b9394,09b394,4c934,4a93a94,49a3934,0b9394,0a93a94,49a3a94,0a9a394,0939394,4939394,0939394,493b94,49b394,4d94,09a3934,493a934,4939a34,4b9a34 O0 7 20 4d94,04b939,049b39,4c934,4a93a94,49a3934,04b939,04a93a9,49a3a94,04a9a39,0493939,4939394,0493939,493b94,49b394,4d94,049a393,493a934,4939a34,4b9a34 I1 22 18 0b9...	4999999939994 4933333939394 4939939939394 4933993939394 0499339393939 0499399993939 4393939399394 4993993393394 4339939993994 4993393939394 0439993939339 4933939399994 0499399939333 4939933939994 0499339999933 4393939333994 0499339399939 4993993339394 0493393999939 4393939339394 0499999993399	{"train":[{"input":[[4,9,9,9,9,9,4],[0,9,9,9,3,9,4],[0,9,3,3,3,9,4],[4,9,9,9,9,3,4],[4,9,9,3,9,9,4],[4,9,3,3,9,3,4],[0,9,9,9,3,9,4],[0,9,9,3,9,9,4],[4,9,3,3,9,9,4],[0,9,9,3,3,9,4],[0,9,3,9,3,9,4],[4,9,3,9,3,9,4],[0,9,3,9,3,9,4],[4,9,3,9,9,9,4],[4,9,3,3,3,9,4],[4,9,9,9,9,9,4],[0,9,3,3,9,3,4],[4,9,3,9,9,3,4],[4,9,3,9,3,3...	0	dataset=solve_deform group=deform_line rotate_0 displacement_-1 predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d
simon-solve-v1 'O3T' predict the raw pixels	I0 7 7 03b703,a3b7a3,,a3b703,a37c5,a3b7a3,a3b730 O0 7 7 a2b5a2,,,,,, I1 7 8 0a305a3,c75a7,,,,,,0b35a3 O1 7 8 2,5,,,,,,2 I2T 15 11 7,,,,c7d5e7,,7,,,, O2T None I3T 11 8 b0c30a30,3a0a303c0,7,c7a5d7,,3030a5a0b3,a3a0a530b3,c3a53a030 O3T None	22222222222 22222222222 55555555555 55555555555 55555555555 22222222222 22222222222 22222222222	{"train":[{"input":[[0,3,7,7,7,0,3],[3,3,7,7,7,3,3],[3,3,7,7,7,3,3],[3,3,7,7,7,0,3],[3,3,7,5,5,5,5],[3,3,7,7,7,3,3],[3,3,7,7,7,3,0]],"output":[[2,2,5,5,5,2,2],[2,2,5,5,5,2,2],[2,2,5,5,5,2,2],[2,2,5,5,5,2,2],[2,2,5,5,5,2,2],[2,2,5,5,5,2,2],[2,2,5,5,5,2,2]]},{"input":[[0,3,3,0,5,3,3],[7,7,7,7,5,7,7],[7,7,7,7,5,7,7],[7,7,...	1	dataset=solve_zindex group=mask_of_obscured_rectangle predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
simon-solve-v1 predict raw pixels for 'O3T'	I0 8 10 5757a575,575a7b5,57e5,57c575,5b9a575,7b9b75,5b9c5,7b9b75,5a9c85,a57a5a75 O0 8 10 8,,,,,,,,b82c8,8 I1 8 9 5a97a575,5a9a5a75,7a9a5a75,5a9757a5,7897a5a7,789a57a5,5a97a575,5a9575a7,b5a7b5 O1 8 9 8,,,,82e8,,8,, I2 6 10 9,,,,8d9,,,9,, O2 6 10 8,,,,2d8,,,8,, I3T 10 14 9,,,,,c9b8b9,9,,75c7c5,c57d5,a5a75a75a7,b5a7c57,d5...	8888888888 8888888888 8888888888 8888888888 8888888888 8888222888 8888888888 8888888888 8888888888 8888888888 8888888888 8888888888 8888888888 8888888888	{"train":[{"input":[[5,7,5,7,5,5,7,5],[5,7,5,7,7,5,5,5],[5,7,5,5,5,5,5,5],[5,7,5,5,5,5,7,5],[5,9,9,9,5,5,7,5],[7,9,9,9,7,7,7,5],[5,9,9,9,5,5,5,5],[7,9,9,9,7,7,7,5],[5,9,9,8,8,8,8,5],[5,5,7,5,5,7,7,5]],"output":[[8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8],[...	0	dataset=solve_zindex group=mask_of_intersection_rectangle predict=rawpixels earlier_prediction=none image_width=small image_height=medium task_pixels=b
SIMON-SOLVE-V1 'O3T' predict the raw pixels	I0 16 10 8,3e13e1a3,131c3b131a3a1,a13c1d313a1,1d31313131a31,131313131313c1,1313f1c31,131h3a131,a13i13a1,8d5f8b5 O0 16 10 813b1f83a1,3d813d1b8,e13b13131a3,131b31d313a1,a13c13131313a1,1d31313131a31,131313d1a3b1,1313a1e31a31,131b3g131,8d5f8b5 I1 12 18 8,g1c3,1a313a13c1,d1a3a1a31,1c3b13b1,13c13b131,c1a3b1a31,1a313a1a3b1,13...	8188888183 1813111838 1113133133 1313111333 3311113133 1313313311 1313111131 1311131313 1333111331 1311133313 3313111111 3313131333 3113131131 3133131331 1311133111 1133111333 8588888585	{"train":[{"input":[[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8],[3,1,1,1,1,1,1,3,1,1,1,1,1,1,3,3],[1,3,1,3,3,3,3,1,1,1,3,1,3,3,1,1],[1,1,3,1,1,1,1,3,3,3,3,3,1,3,1,1],[1,3,3,3,3,3,1,3,1,3,1,3,1,3,3,1],[1,3,1,3,1,3,1,3,1,3,1,3,1,1,1,1],[1,3,1,3,1,1,1,1,1,1,1,3,3,3,3,1],[1,3,1,3,3,3,3,3,3,3,3,3,1,1,3,1],[1,1,3,1,1,1,1,1,1,1,1,1,1,3...	0	dataset=solve_deform group=deform_line rotate_1 displacement_1 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
SIMONSOLVEV1, 'O5T', predict the raw pixels	I0 16 15 1c3139e393,b391a31319d3,a313b19c389a3,b31c3a1318b3,a1b31a31c3831,b39h3813,b319a2e3183,a3b21c31b341,39c391g3,19d3c1d3,b31h3a13,a1g31b319,9g39131b3,3a91e3a9b39,9c391c3b131 O0 16 15 1c4149e494,b491a41419d4,a414b19c489a4,b41c4a1418b4,a1b41a41c4841,b49h4814,b419a2e4184,a4b21c41b431,49c491g4,19d4c1d4,b41h4a14,a1g41b...	99999900990099 90999099090000 90090990909999 00990090099000 00099690999990 99909969909900 90990906999909 90999996090090 99900999690999 90099900969900 09900099996000 09990900909690 00999099099609 99900900090060 99999999909996 09099000990909 99099909999099 09999990909099 99099009990090 09009909099090 09999000090009	{"train":[{"input":[[1,3,3,3,3,1,3,9,3,3,3,3,3,3,9,3],[3,3,3,9,1,3,3,1,3,1,9,3,3,3,3,3],[3,3,1,3,1,1,1,9,3,3,3,3,8,9,3,3],[3,3,3,1,3,3,3,3,1,1,3,1,8,3,3,3],[1,1,3,3,3,1,3,3,1,3,3,3,3,8,3,1],[3,3,3,9,3,3,3,3,3,3,3,3,3,8,1,3],[3,3,3,1,9,2,2,3,3,3,3,3,3,1,8,3],[3,3,2,2,2,1,3,3,3,3,1,3,3,3,4,1],[3,9,3,3,3,3,9,1,3,3,3,3,3,3...	1	dataset=solve_color group=swap_most_and_least_popular_colors predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=d
simonsolveversion1 predict pixels for O4T	I0 10 10 a0a8e0,h98,,h90,g490,h90,,h98,h90,a08d0a8 O0 10 10 8,,,,g7a8,8,,,, I1 15 12 a0f980a808,a0f9c0a8,08f9a80808,08f9e0,80f908a080,08c9g48,a0c9g48,,08c9g48,a8a0a8g48,0a80a8g40,80b8d08b08 O1 15 12 8,,,,,e8b7e8,,,,8,, I2 12 9 0a80c9c0,b08c908a0,b089e48,80a89e40,a0809e40,a0a89e40,c09e40,80809e40,a0a80e40 O2 12 9 8,,d8b...	88888888888888 88888888888888 88888888888888 88888877777777 88888877777777 88888877777777 88888877777777 88888877777777 88888888888888	{"train":[{"input":[[0,0,8,8,0,0,0,0,0,0],[9,9,9,9,9,9,9,9,9,8],[9,9,9,9,9,9,9,9,9,8],[9,9,9,9,9,9,9,9,9,0],[4,4,4,4,4,4,4,4,9,0],[9,9,9,9,9,9,9,9,9,0],[9,9,9,9,9,9,9,9,9,0],[9,9,9,9,9,9,9,9,9,8],[9,9,9,9,9,9,9,9,9,0],[0,0,8,0,0,0,0,0,8,8]],"output":[[8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8],[8,...	0	dataset=solve_zindex group=mask_of_intersection_rectangle predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
SIMONSOLVEVERSION1 'O4T' predict the raw pixels	I0 2 21 7,,,,17,,,,,,,,,,,,,,,, O0 1 2 1,7 I1 19 21 81657b65616a167a65,85a656b171a57c67,186c1b617a671b6,181a6161a5a6767b65,18a6561656a27d61,51861b6a25171a6a76,a68561726a1756a1767,768b12a1a6a7a675a6,1652a4c1575a656a7,5a28a64576b1c671,25687a64617675c65,6a568515a47a1716761,61b5a76764b6757a6,b6517a6717656757a6,61671716b561...	0 4	{"train":[{"input":[[7,7],[7,7],[7,7],[7,7],[1,7],[1,7],[1,7],[1,7],[1,7],[1,7],[1,7],[1,7],[1,7],[1,7],[1,7],[1,7],[1,7],[1,7],[1,7],[1,7],[1,7]],"output":[[1],[7]]},{"input":[[8,1,6,5,7,6,6,6,5,6,1,6,1,1,6,7,6,6,5],[8,5,6,6,5,6,1,1,1,7,1,5,5,7,6,6,6,6,7],[1,8,6,1,1,1,1,6,6,6,1,7,6,6,7,1,6,6,6],[1,8,1,6,6,1,6,1,5,5,6,...	1	dataset=solve_color group=identify_most_and_least_popular_colors rotate_1 predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=b
simonsolveversion1, 'O3T', predict the raw pixels	I0 8 12 2a02b92,c9c2,2a0d2,e2a0,20a20b2,b2020a2,d20a2,a20b202,0b2a020,c20202,c20a20,e202 O0 1 2 2,9 I1 19 8 8a6262a8626a2c7a6,82a62a6e756a8a2,b6c76862626b826,b262a62e625a68,28b65a6a28a6262686,b6826568b656a2b6,68a5285a65c6a8a62,b62a68a62628a65a62 O1 1 2 6,5 I2 3 22 501,502,,a50,,a51,a50,a52,a53,356,,956,936,,,,932,910,0...	8 3	{"train":[{"input":[[2,0,0,2,9,9,9,2],[9,9,9,9,2,2,2,2],[2,0,0,2,2,2,2,2],[2,2,2,2,2,2,0,0],[2,0,2,2,0,2,2,2],[2,2,2,0,2,0,2,2],[2,2,2,2,2,0,2,2],[2,2,0,2,2,2,0,2],[0,2,2,2,0,0,2,0],[2,2,2,2,0,2,0,2],[2,2,2,2,0,2,2,0],[2,2,2,2,2,2,0,2]],"output":[[2],[9]]},{"input":[[8,6,6,2,6,2,8,8,6,2,6,2,2,7,7,7,7,6,6],[8,2,6,6,2,6,...	0	dataset=solve_color group=identify_most_and_least_popular_colors rotate_3 predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=b

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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.

Version 184

Generated data.

Version 185

Generated data.

Version 186

Generated data.

Version 187

Generated data.

Version 188

Generated data.

Version 189

Added DatasetSolveDeform dataset generator.

Version 190

Generated data.

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