Datasets:

neoneye
/

simon-arc-combine-v210

instruction stringclasses 400 values	input stringlengths 122 3.05k	output stringlengths 1 505	arc_task stringlengths 347 10.5k	test_index int64 0 1	benchmark stringclasses 681 values
SIMON-SOLVE-V1, O5T, predict raw pixels	I0 8 13 1e61,c979a7,a9797a97,9a79a797,a9a7b97,97b97a9,a9d79,a97d9,9a7a9a79,b979a79,979a7979,79b7b9,1 O0 8 13 1e61,c979a7,a9797a97,9a79a797,a9a7c9,97b97a9,a9d79,a97d9,9a7a9a79,b979a79,a79a7979,19b7a91,9e17 I1 9 15 c6161a6,f9a7,7979d7,a97e9,979d79,97f9,9e7a9,a97a9c7,a97b9b7,97979b79,a979c79,a979797a9,9a7979a79,9a7e9,1 O1...	66666666111666666166 99999997999799999799 99777799797999799977 97997777799779797799 77977999997999799979 79979797979797997979 97779797999977797979 99999797777979997979 97779997977997977977 97999777779797999797 97979999997997777999 97979799999779777799 99997797777997977979 79777977999797997979 79979977977997797779 99999...	{"train":[{"input":[[1,6,6,6,6,6,6,1],[9,9,9,9,7,9,7,7],[9,9,7,9,7,9,9,7],[9,7,7,9,7,7,9,7],[9,9,7,7,9,9,9,7],[9,7,9,9,9,7,9,9],[9,9,7,7,7,7,7,9],[9,9,7,9,9,9,9,9],[9,7,7,9,9,7,7,9],[9,9,9,7,9,7,7,9],[9,7,9,7,7,9,7,9],[7,9,7,7,7,9,9,9],[1,1,1,1,1,1,1,1]],"output":[[1,6,6,6,6,6,6,1],[9,9,9,9,7,9,7,7],[9,9,7,9,7,9,9,7],[...	1	dataset=solve_deform group=deform_line rotate_3 displacement_1 predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=d
SIMONSOLVEV1 'O2T' predict the pixels	I0 22 11 q6b06,,,,6,,,8a9k6b0c6,898k6b0c6,b8k6b0c6, O0 22 11 q68a96,q68986,q6b86,,6,,,8a9k68a9c6,898k6898c6,b8k6b8c6, I1 11 16 a601f6,a60614d6,a614a1d6,a6a4a1d6,6,,,c0f6,,c0a6c06,,e6c06,,6,, O1 11 16 a601f6,a60614d6,a614a1d6,a6a4a1d6,6,,,01h6,0614f6,14a1a601b6,a4a1a606146,e614a16,e6a4a16,6,, I2T 16 20 6,,f6c0d6,,6,h61a...	6666666666666666 6666666666666666 6666666188466666 6666666614466666 6666666666666666 6666666661884666 6666666666144666 6666666666666666 6666666666666666 6666666666666666 6666666666666666 6666666666666666 6666666666666666 6666666666666666 6666666666666666 6666666666666666 6666666666666666 6666666666666666 66666666666666...	{"train":[{"input":[[6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,0,0,0,6],[6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,0,0,0,6],[6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,0,0,0,6],[6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,0,0,0,6],[6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6,6...	0	dataset=solve_template group=template with_insertion_image predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=c
simon-solve-v1, 'O3T', predict the raw pixels	I0 21 5 a72m7c5,5b7a2k7b5,a5d7a2i7a5,b5p75,c5p7 O0 17 5 a72m7,b7a2k7,d7a2i7,7, I1 14 5 i4c5,52a141d4b5,a52b41b414a5,b5421b4b145,c5d41c4 O1 10 5 4,2a141d4,2b41b414,421b4b14,d41c4 I2 16 7 i2e5,5d2a4b2d5,a5b2a4a3b2c5,b5297a3d2b5,c5293a720b2a5,d5a2a9a20b25,e5e20b2 O2 10 7 2,d2a4b2,b2a4a3b2,297a3d2,293a720b2,a2a9a20b2,e20b2...	898897989 898986798 888886779 988968887 988988989	{"train":[{"input":[[7,7,2,7,7,7,7,7,7,7,7,7,7,7,7,7,7,5,5,5,5],[5,7,7,7,2,2,7,7,7,7,7,7,7,7,7,7,7,7,5,5,5],[5,5,7,7,7,7,7,2,2,7,7,7,7,7,7,7,7,7,7,5,5],[5,5,5,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,5],[5,5,5,5,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7]],"output":[[7,7,2,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,2,2,7,7,7,7,7,7,7,7,7,7,7,...	0	dataset=solve_skew group=unskew_right predict=rawpixels earlier_prediction=none image_width=large image_height=small task_pixels=b
SIMON-SOLVE-V1 predict raw pixels for O4T	I0 10 21 3,,,,,,,,,,7,3,,,b37e5,b3b5b75,b3a57b57,b3b57a57,b3a5b757,b357d5,b3b57a57 O0 10 21 3,,,b37e5,b3b5b75,b3a57b57,b3b57a57,b3a5b757,b357d5,b3b57a57,7,3,,,,,,,,, I1 19 21 3,,,,,,,,,,7,3,,,f357a5c7c3,f3d5b7c3,f3c757a5c3,f3d57a5c3,f35a757575c3,f3575757a5c3,f3d57a5c3 O1 19 21 3,,,f357a5c7c3,f3d5b7c3,f3c757a5c3,f3d57a5...	3333333333333333 3333333333333333 3333333333333333 3337555553333333 3335777753333333 3335555753333333 3337777753333333 3335555553333333 3335777753333333 3337555573333333 7777777777777777 3333333333333333 3333333333333333 3333333333333333 3333333333333333 3333333333333333 3333333333333333 3333333333333333 33333333333333...	{"train":[{"input":[[3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3],[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],[7,7,7,7,7,7,7,7,7,7],[3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3...	0	dataset=solve_mirror group=mirror a_left b_left rotate_1 predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=d
SIMONSOLVEV1, O3T, predict raw pixels	I0 19 19 4,f4c7g4,f4c74c7b4,,,k4c7b4,4,,,,,,,,,e4c3h4,,e46b3h4,e4c3h4 O0 19 19 4,f4c3g4,f4c34c3b4,f46b34c3b4,f4c346b3b4,k4c3b4,4,,,,,,,,,e4c3h4,,e46b3h4,e4c3h4 I1 10 21 4,,,,,f4b7,,4,,,,,4b7e4,,4,,,,a25f4,b2f4,4 O1 10 21 4,,,,,f4a25,f4b2,4,,,,,4a25e4,4b2e4,4,,,,a25f4,b2f4,4 I2 14 9 4,,,,c4b7f4,3434b74b7b4,,4a34b74b7b4,...	009944444 000044444 000044444 000044444 444444444 444444444 444444444 444444444 440099444 440000444 440000444 440000444 444444444 444444444	{"train":[{"input":[[4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,7,7,7,7,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,7,7,7,7,4,7,7,7,7,4,4,4],[4,4,4,4,4,4,4,7,7,7,7,4,7,7,7,7,4,4,4],[4,4,4,4,4,4,4,7,7,7,7,4,7,7,7,7,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,7,7,7,7,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4...	0	dataset=solve_template group=template with_insertion_image predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=c
simon-solve-v1, 'O4T', predict the pixels	I0 16 6 3,k18b1,a1a818f1818,818a1h8a1,g18f1,30a3c0a3a0a303 O0 16 6 13a1c3a1a38131,a1a8h1818,818a18a1a8a1a8a1,d1c81a8c1,31a3c1a3a1a313,30a3c0a3a0a303 I1 18 18 3,a8b18a1f8a18,c818a1e81818,b18a18e1d8,1818a181b8b1c8,18a1a818a1b8a1b8,1a8e1a8181a8a1,b1b81a8c181a81,1a8a1818b181c81,a181a8181b8b1b8,a18a18e1c8a1,1a8181d81818b1,b...	33318331383313 11118118181181 18818118181811 18888188181181 18111111111881 18133813138838 00033003030030	{"train":[{"input":[[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[1,1,1,1,1,1,1,1,1,1,1,1,8,1,1,1],[1,1,8,8,1,8,1,1,1,1,1,1,1,8,1,8],[8,1,8,1,1,8,8,8,8,8,8,8,8,8,1,1],[1,1,1,1,1,1,1,1,8,1,1,1,1,1,1,1],[3,0,3,3,0,0,0,0,3,3,0,0,3,3,0,3]],"output":[[1,3,1,1,3,3,3,3,1,1,3,3,8,1,3,1],[1,1,8,8,1,1,1,1,1,1,1,1,1,8,1,8],[8,1,8,1,1,8,1,1,...	1	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 'O4T' predict the raw pixels	I0 7 12 2420202,a02a0a2,64b040,6482a04,64b040,2620242,064a202,06a2b0,06a02a0,b02a40,a4d0,0a40242 O0 7 12 3,c35a3,3,d353,c35a3,3,b35b3,c35a3,b35b3,3,, I1 12 6 7c4a96c9,939d7a969,693c9a7969,96396a9a6b9,b9379679a69,6e9a7b9 O1 12 6 3,,35i3,b35g3,a35a35e3,3 I2 6 12 a2c6,a24626,1c26,146262,1a6a26,41a626,41c6,21a262,61a262,26...	33333333333333 35553553353353 35535533553533 35335355335333 33355553353353 33555535535333 35355555333333 33555555333333 35353553553533 33533555535353 33333333333333	{"train":[{"input":[[2,4,2,0,2,0,2],[0,0,2,0,0,2,2],[6,4,0,0,0,4,0],[6,4,8,2,0,0,4],[6,4,0,0,0,4,0],[2,6,2,0,2,4,2],[0,6,4,2,2,0,2],[0,6,2,2,0,0,0],[0,6,0,0,2,0,0],[0,0,0,2,4,4,0],[4,4,0,0,0,0,0],[0,4,4,0,2,4,2]],"output":[[3,3,3,3,3,3,3],[3,3,3,3,5,3,3],[3,3,3,3,3,3,3],[3,3,3,3,3,5,3],[3,3,3,3,5,3,3],[3,3,3,3,3,3,3],[...	0	dataset=solve_erosion group=erosion trbl2 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
Simon-Solve-V1, 'O4T', predict the pixels	I0 13 16 0,a0b3b7373a7,a0i73,,a0373b7373a7,a03b73e7,a0j7,a03d7373a7,a037373d73,a0j7,,a0h737,a07a3d73a7,a0a7a373c73,a0373e737,a0b73c73a7 O0 11 15 b2b7272a7,i72,,272b7272a7,2b72e7,7,2d7272a7,27272d72,7,,h727,7a2d72a7,a7a272c72,272e727,b72c72a7 I1 17 16 a06a7676c7b6a0,a06767b67d6a0,a0c7676d76a0,a0a676c7a6b7a0,a0a7676a7a6b...	22777272 77727772 27777727 72772227 72222272 77227772 77777727 27222272 77727772 72272772 77777727	{"train":[{"input":[[0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,3,3,3,7,7,7,3,7,3,7,7],[0,0,7,7,7,7,7,7,7,7,7,7,3],[0,0,7,7,7,7,7,7,7,7,7,7,3],[0,0,3,7,3,7,7,7,3,7,3,7,7],[0,0,3,7,7,7,3,7,7,7,7,7,7],[0,0,7,7,7,7,7,7,7,7,7,7,7],[0,0,3,7,7,7,7,7,3,7,3,7,7],[0,0,3,7,3,7,3,7,7,7,7,7,3],[0,0,7,7,7,7,7,7,7,7,7,7,7],[0,0,7,7,7,7,7,7,7,7...	1	dataset=solve_color group=replace_color_different_palettes crop palette_a predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
simon-solve-v1 predict pixels for O4T	I0 14 18 7,c19d19b1,c19a1a9a1a91,1a91c91a9b1,9b19b1919191,a19b1919b191,191c91b9191,191d9a19191,f1c9191,1c9d19191,c1d9d1,1a9e19c1,b1c9c1a91,19c1c9c1,191g9a19,19b1919a1b91,1919b19d19,6a76c7a676a7 O0 14 18 1a71c7a171a7,c19b191a9a1,c19a1919a191,b91d919b1,c19b1919191,a1a9a191a9a191,191c9b19191,19a1f9191,b19b19a19191,1a919b1...	7771777171719 9119111111119 9119191991911 9111199191911 9917119717177 7776777676766	{"train":[{"input":[[7,7,7,7,7,7,7,7,7,7,7,7,7,7],[1,1,1,1,9,1,1,1,1,1,9,1,1,1],[1,1,1,1,9,1,1,9,9,1,1,9,9,1],[1,9,9,1,9,9,9,9,1,9,9,1,1,1],[9,1,1,1,9,1,1,1,9,1,9,1,9,1],[1,1,9,1,1,1,9,1,9,1,1,1,9,1],[1,9,1,9,9,9,9,1,9,9,9,1,9,1],[1,9,1,9,9,9,9,9,1,1,9,1,9,1],[1,1,1,1,1,1,1,9,9,9,9,1,9,1],[1,9,9,9,9,1,1,1,1,1,9,1,9,1],...	0	dataset=solve_deform group=deform_line rotate_1 displacement_-1 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
SIMON-SOLVE-V1 predict raw pixels for 'O3T'	I0 13 19 f3c8a3,,,,3,,,,,,,f31a61a3,f3a615a3,f3b69a3,f35a96a3,3,,, O0 13 19 f31a61a3,f3a615a3,f3b69a3,f35a96a3,3,,,,,,,f3c8a3,,,,3,,, I1 19 9 3,g36a82f3,g3a612f3,3,,,,6a82e3c8d3,a612e3c8d3 O1 19 9 3,g3c8f3,,3,,,,c8e36a82d3,c8e3a612d3 I2 9 18 3,,,,,,a0f3,a2f3,,c3a0b3,a8a3a2b3,,a8f3,3,,,, O2 9 18 3,,,,,,a8f3,,,c3a8b3,a0a...	333333357933333333 333333313033333333 333333301033333333 333333333333333333 333888333333333333 333888333333333333 333888333333333333 333333333333333333 333333333388833333 333333333388833333 333333333388833333 333333333333333333 333333333333333333 333333333333333333 333333333333333333 333333333333333333 3333333333333333...	{"train":[{"input":[[3,3,3,3,3,3,3,8,8,8,8,3,3],[3,3,3,3,3,3,3,8,8,8,8,3,3],[3,3,3,3,3,3,3,8,8,8,8,3,3],[3,3,3,3,3,3,3,8,8,8,8,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3...	0	dataset=solve_template group=template swap_many_to_one predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
SIMON-SOLVE-VERSION1 predict pixels for 'O4T'	I0 12 22 0,,,j02,0,,,,,,,,,,,,,,,,, O0 4 1 a949 I1 17 16 0,g0a2f0,0,,02n0,0,,,g02g0,m02a0,0,,f02h0,0,, O1 24 1 a94b94b94b94b94b949 I2 14 22 0,,,,,,,,,,,,,,f02e0,0,,,,,j02a0,0 O2 8 1 a94b949 I3 4 5 0,,a020,02a0,0 O3 8 1 a94b949 I4T 5 22 0,,,,,,b020,0,,,,,,,,,,b020,0,,, O4T None	99499949	{"train":[{"input":[[0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,2],[0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0...	0	dataset=solve_count group=count_pixels_and_repeat_output_pattern repeat_x predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c
Simon-Solve-V1, O2T, predict pixels	I0 14 16 9,,,,a9c09c0b9,,,9,,,,,a93413g9,a9a343g9,a9a3a1g9,9 O0 14 16 9,,,,a9341393413b9,a9a3439a343b9,a9a3a19a3a1b9,9,,,,,a9c0g9,,,9 I1 16 18 9,,,,,c9b8h9,c982i9,9,,,,j9b0a9,,9,,,, O1 16 18 9,,,,,c9b0h9,,9,,,,j9b8a9,j982b9,9,,,, I2T 18 12 9,,,,i96f9,i924e9,9,f9a0h9,,9,, O2T None I3T 12 12 9,,,,,9a0914e9,,9a091f9,9,,, ...	999999999999999999 999999999999999999 999999999999999999 999999999999999999 999999999900999999 999999999900999999 999999999999999999 999999969999999999 999999924999999999 999999999999999999 999999999999999999 999999999999999999	{"train":[{"input":[[9,9,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,0,0,0,0,9,0,0,0,0,9,9,9],[9,9,0,0,0,0,9,0,0,0,0,9,9,9],[9,9,0,0,0,0,9,0,0,0,0,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9,9],...	0	dataset=solve_template group=template swap_one_to_many predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
simon-solve-version1 predict pixels for O4T	I0 20 22 i6898c98a6,i68a9898a9a6,,i689898989a6,i689898b9a6,i68989c8a6,i689a8c9a6,i68f9a6,i68h6,,,,,,,,,,,,, O0 20 22 98c98b68h6,a9898a9b68h6,,9898989b68h6,9898b9b68h6,989c8b68h6,9a8c9b68h6,f9b68h6,i68h6,,,,,,,,,,,,, I1 21 14 i68i6,,,,,i68d9d6,i68a98a9d6,i6a89a89d6,i68d9d6,i6c8a9d6,i68c98d6,i68989a8d6,i68b9a8d6, O1 21 1...	666666666686666666666 666666666686666666666 666666666686666666666 666666666686666666666 666666666686666666666 666666666686666666666 666666666686666666666 666666666686666666666 666666666686666666666 998999998686666666666 989898998686666666666 989898889686666666666 989998999686666666666 998998888686666666666 888988999686...	{"train":[{"input":[[6,6,6,6,6,6,6,6,6,6,8,9,8,9,9,9,9,8,6,6],[6,6,6,6,6,6,6,6,6,6,8,9,9,8,9,8,9,9,6,6],[6,6,6,6,6,6,6,6,6,6,8,9,9,8,9,8,9,9,6,6],[6,6,6,6,6,6,6,6,6,6,8,9,8,9,8,9,8,9,6,6],[6,6,6,6,6,6,6,6,6,6,8,9,8,9,8,9,9,9,6,6],[6,6,6,6,6,6,6,6,6,6,8,9,8,9,8,8,8,8,6,6],[6,6,6,6,6,6,6,6,6,6,8,9,8,8,9,9,9,9,6,6],[6,6,6...	0	dataset=solve_mirror group=mirror a_right b_right rotate_2 predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=e
SIMON-SOLVE-V1, O3T, predict raw pixels	I0 14 10 7k65,76b26e265,5b6c2d65,76d26c265,7c6a2c6265,76262a6b26265,762b62a626265,56b26b2a6265,762a6262626265,5b62a62d65 O0 14 10 7k65,76b26e265,5a6c2d656,76d26c265,7c6a2c6265,76262a6b26265,762b62a626265,5b26b2a62656,762a6262626265,5a62a62d656 I1 12 10 5h625,76e2a625,562d6a265,76b26a2b65,5b62c6265,72626a2c65,7a62a6262a...	566666266666626656 722262662226666665 562262626622222656 726266266266666625 762622626262226225 526266626626262256 526262626626266256 526266262226626656 762222262666226265 762222626226226265 762666626626266265 762222266266222265 766666622222266665	{"train":[{"input":[[7,6,6,6,6,6,6,6,6,6,6,6,6,5],[7,6,2,2,2,6,2,2,2,2,2,2,6,5],[5,6,6,6,2,2,2,2,6,6,6,6,6,5],[7,6,2,2,2,2,2,6,2,2,2,2,6,5],[7,6,6,6,6,2,2,6,6,6,6,2,6,5],[7,6,2,6,2,6,6,2,2,2,6,2,6,5],[7,6,2,6,6,6,2,6,6,2,6,2,6,5],[5,6,2,2,2,6,2,2,2,6,6,2,6,5],[7,6,2,6,6,2,6,2,6,2,6,2,6,5],[5,6,6,6,2,6,6,2,6,6,6,6,6,5]]...	0	dataset=solve_deform group=deform_line rotate_0 displacement_1 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
SIMONSOLVEV1 'O3T' predict the pixels	I0 19 10 5,,a9l5a9a5,,,a95a3i5a9a5,b532m5,b580m5,,5 O0 19 10 5,,a3l5a3a5,32l532a5,80l580a5,805a9i580a5,b5a9m5,,,5 I1 11 7 d53d5,c5a2d5,5,,f5a9a5,b5a9a5a9a5,b5a9e5 O1 11 7 c5a9d5,,5,,g53a5,c53a5a2a5,b5a2e5 I2T 19 10 5,n52062,n5a050,5,,,m5c95,,5, O2T None I3T 10 13 5,,,,,,,a9g5,,5,01g5,,5 O3T None	5555555555 5555555555 5555555555 5555555555 5555555555 5555555555 5555555555 0155555555 0155555555 5555555555 9955555555 9955555555 5555555555	{"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],[9,9,5,5,5,5,5,5,5,5,5,5,5,5,5,9,9,5,5],[9,9,5,5,5,5,5,5,5,5,5,5,5,5,5,9,9,5,5],[9,9,5,5,5,5,5,5,5,5,5,5,5,5,5,9,9,5,5],[9,9,5,3,3,5,5,5,5,5,5,5,5,5,5,9,9,5,5],[5,5,5,3,2,5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,8,0,5,5,5,5,5...	1	dataset=solve_template group=template swap_one_to_many predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
SIMONSOLVEV1 predict raw pixels for O4T	I0 4 14 7b5,27a5,2a75,2767,a767,7267,,,,1767,7127,5717,a527,b57 O0 4 11 7,2767,,,7267,,,,a727,b17,a727 I1 3 13 0a5,405,0,,,,,,,,,5a0,a50 O1 3 11 0,4a0,0,,,,,,,, I2 8 10 2f5,a2e5,b2d5,5272c5,a52a7b5,b5a27a5,c5a275,d5a27,e5a2,f52 O2 8 3 c2c7,a2a7c2,2 I3 11 14 6i5,a6h5,b6g5,c6f5,5c6e5,a5a646d5,b5a656c5,c5a656b5,d5c6a5,e56...	66 66 66 66 86	{"train":[{"input":[[7,5,5,5],[2,7,5,5],[2,7,7,5],[2,7,6,7],[7,7,6,7],[7,2,6,7],[7,2,6,7],[7,2,6,7],[7,2,6,7],[1,7,6,7],[7,1,2,7],[5,7,1,7],[5,5,2,7],[5,5,5,7]],"output":[[7,7,7,7],[2,7,6,7],[2,7,6,7],[2,7,6,7],[7,2,6,7],[7,2,6,7],[7,2,6,7],[7,2,6,7],[7,7,2,7],[1,1,1,7],[7,7,2,7]]},{"input":[[0,5,5],[4,0,5],[0,0,0],[0,...	0	dataset=solve_skew group=unskew_down predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
simon-solve-version1, 'O5T', predict the raw pixels	I0 17 6 n202,2,i2a565202,a20f2a746b2,2,h20f2 O0 16 2 a56b56b56b565,a746a746a746a746 I1 21 16 2,,g20k2,2,,,,,,i2d89d2,g202b8593d2,i2a85938d2,i28589a8d2,i2859b8d2,a20f259c820b2,2 O1 24 6 d89d89d89d89,b8593b8593b8593b8593,a8593b8593b8593b85938,8589b8589b8589b8589a8,859c859c859c859b8,59c859c859c859c8 I2 18 6 k289a8a2,k2479...	41599 49113 99993 79559 99599 75999	{"train":[{"input":[[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,0,2],[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,5,5,6,5,2,0,2],[2,2,0,2,2,2,2,2,2,2,7,7,4,6,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,0,2,2,2,2,2,2,2]],"output":[[5,5,6,5,5,5,6,5,5,5,6,5,5,5,6,5],[7,7,4,6,7,7,4,6,7,7,4,6,7,7,4,6]]},{"i...	1	dataset=solve_count group=count_pixels_and_repeat_input_pattern repeat_x predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=c
Simon-Solve-Version1, 'O4T', predict the pixels	I0 21 15 3,,,,,,h31d31d3,3,,,,,r313,b31p3,3 O0 4 4 2,9,,2 I1 17 11 b31l3,3,a31m3,3,h31f3,k31c3,3,,,,d3131h3 O1 6 4 2,9,,2 I2 6 17 3,,,d31,3,,,,,,,,,c313,3,, O2 2 4 2,9,,2 I3T 13 13 3,,,f31b313,3,,,,c31g3,e31e3,3,, O3T None I4T 9 13 3,b31d3,g31,3,,31f3,3,,,,,, O4T None	222 999 999 222	{"train":[{"input":[[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,1,3,3,3,3,3,1,3,3...	1	dataset=solve_count group=count_pixels_and_repeat_output_pattern repeat_x predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=b
Simon-Solve-V1, 'O2T', predict the pixels	I0 14 5 a8e515a158,a8b1b5d18,a8a1c5a1a518,a851c5b1a58,a85b15a1a5a18 O0 14 5 a8e545a458,a8b4b5d48,a8a4c5a4a548,a854c5b4a58,a85b45a4a5a48 I1 12 18 8,,,a5d1a5151,5f1c5,b15c1a5a1,51b51b5151,1a51a51c51,g1a5a1,5a151c5a15,1a5b1c5a1,5a1a515a1b5,5a1h5,1b5a1a5a151,a1515a1a5a15,a15a1a5a1515,a5a1b5a1a51,8 O1 12 18 8,,,a5d4a5454,5f...	888888888888888 888888888888888 888888888888888 855455555555588 855454545555488 855555444555488 845555545555588 845555455555588 855555445554588 855555555445488 855554455555588 845554445555588 845545455445588 845555545455588 844445555444488 845545555544488 844555455554588 888888888888888 888888888888888	{"train":[{"input":[[8,8,5,5,5,5,5,5,1,5,1,1,5,8],[8,8,1,1,1,5,5,5,1,1,1,1,1,8],[8,8,1,1,5,5,5,5,1,1,5,5,1,8],[8,8,5,1,5,5,5,5,1,1,1,5,5,8],[8,8,5,1,1,1,5,1,1,5,5,1,1,8]],"output":[[8,8,5,5,5,5,5,5,4,5,4,4,5,8],[8,8,4,4,4,5,5,5,4,4,4,4,4,8],[8,8,4,4,5,5,5,5,4,4,5,5,4,8],[8,8,5,4,5,5,5,5,4,4,4,5,5,8],[8,8,5,4,4,4,5,4,4,...	0	dataset=solve_color group=replace_color_same_palette padding predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
SIMONSOLVEV1 'O4T' predict the pixels	I0 16 20 8,,,,,,,,,2,83737a3h8,837b37h8,8a3b73h8,837a373h8,8373a73h8,83737a3h8,8a73737h8,87d3h8,8, O0 16 20 83737a3h8,837b37h8,8a3b73h8,837a373h8,8373a73h8,83737a3h8,8a73737h8,87d3h8,8,2,8,,,,,,,,, I1 19 19 8,,,,,,,,,2,j837a3c8,j8c3c8,j83a73c8,j8b37c8,8,,,, O1 19 19 j837a3c8,j8c3c8,j83a73c8,j8b37c8,8,,,,,2,8,,,,,,,, I2...	88883333333388 88883737777388 88883733737388 88883737777388 88883773333388 88883737777388 88883733333788 88883373377788 88888888888888 88888888888888 22222222222222 88888888888888 88888888888888 88888888888888 88888888888888 88888888888888 88888888888888 88888888888888 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],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8...	1	dataset=solve_mirror group=mirror a_right b_right rotate_1 predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=d
simon-solve-version1 'O4T' predict the raw pixels	I0 19 20 h68h6,,,,,,c6b7578h6,,c67b578h6,c6d78h6,c6a57578h6,c6b5a78h6,h68h6,,,,,,, O0 19 20 h68h6,,,,,,h68c6b757,,h68c67b57,h68c6d7,h68c6a5757,h68c6b5a7,h68h6,,,,,,, I1 20 20 h68i6,,,,,,,,,,,,d6c78i6,d67a578i6,d657578i6,d6a7578i6,d65b78i6,h68i6,, O1 20 20 h68i6,,,,,,,,,,,,h68e6c7,h68e67a57,h68e65757,h68e6a757,h68e65b7,...	66666666686666666666 66666666686666666666 66666666686666577777 66666666686666755557 66666666686666777777 66666666686666755557 66666666686666777777 66666666686666755557 66666666686666777777 66666666686666777577 66666666686666666666 66666666686666666666 66666666686666666666 66666666686666666666 66666666686666666666 66666...	{"train":[{"input":[[6,6,6,6,6,6,6,6,6,8,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,8,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,8,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,8,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,8,6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,8,6,6,6,6,6,6,6,6,6],[6,6,6,6,7,7,7,5,7,8,6,6,6,6,6,6,6,6,6],[6,6,6,6,7,7,7,5,7,8...	0	dataset=solve_mirror group=mirror a_right b_right rotate_0 predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=d
simon-solve-version1 predict pixels for O2T	I0 14 14 7,b91i7,b94i7,9a49i7,4969i7,e7c2c7,,,,7,,,, O0 14 14 7,b91i7,b94i7,9a49i7,4969i7,e7b91c7,e7b94c7,e79a49c7,e74969c7,7,,,, I1 14 7 c279a12d7,c27a415d7,c271b47c2,c2739a17c2,i7c2,,7 O1 14 7 9a1279a12d7,a4157a415d7,1b471b479a12,39a1739a17a415,i71b4,i739a1,7 I2T 7 19 7,,,,b7c2,,7,,,,,7b41a7,73b4a7,7,,,,7c2a7, O2T No...	7777777 7777777 7777777 7777777 7774441 7773444 7777777 7777777 7777777 7777777 7777777 7444177 7344477 7777777 7777777 7777777 7777777 7444177 7344477	{"train":[{"input":[[7,7,7,7,7,7,7,7,7,7,7,7,7,7],[9,9,9,1,7,7,7,7,7,7,7,7,7,7],[9,9,9,4,7,7,7,7,7,7,7,7,7,7],[9,4,4,9,7,7,7,7,7,7,7,7,7,7],[4,9,6,9,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,2,2,2,2,7,7,7,7],[7,7,7,7,7,7,2,2,2,2,7,7,7,7],[7,7,7,7,7,7,2,2,2,2,7,7,7,7],[7,7,7,7,7,7,2,2,2,2,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7],...	0	dataset=solve_template group=template with_insertion_image predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
SIMONSOLVEV1 predict raw pixels for O2T	I0 4 15 a707,70a7,a604,0a71,0b1,7541,6510,5416,5410,5676,5067,a0a6,70a7,07a6,7b6 O0 18 15 a707m1,170a7l1,a1a604k1,b10a7k1,c10l1,d1754i1,e16510g1,f15416f1,g15410e1,h15676d1,i15067c1,j1a0a6b1,k170a7a1,l107a61,m17b6 I1 11 11 a707a67c6,a76a76a70a7,f7c6,70a6b767a6,60a7a0a76a7,676f76,7a606070676,a76a70767a6,a6c7676a7,a7a0676...	02991111111111 10999111111111 11205911111111 11190591111111 11117400111111 11111900911111 11111190591111 11111119019111 11111111901011 11111111190911 11111111111091	{"train":[{"input":[[7,7,0,7],[7,0,7,7],[6,6,0,4],[0,7,7,1],[0,1,1,1],[7,5,4,1],[6,5,1,0],[5,4,1,6],[5,4,1,0],[5,6,7,6],[5,0,6,7],[0,0,6,6],[7,0,7,7],[0,7,6,6],[7,6,6,6]],"output":[[7,7,0,7,1,1,1,1,1,1,1,1,1,1,1,1,1,1],[1,7,0,7,7,1,1,1,1,1,1,1,1,1,1,1,1,1],[1,1,6,6,0,4,1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,0,7,7,1,1,1,1,1,1,...	0	dataset=solve_skew group=skew_right predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=c
Simon-Solve-V1 predict raw pixels for 'O2T'	I0 9 9 c4a6a46,464646a46,e4b6,6c46b4,646c4a6,4a6a46464,c46c4,a46e4,a46c464 O0 9 9 6,,,,,,,, I1 20 5 7,70a70d70h7,c7b29g7a0a7,p70a7,c7a0h7070a7 O1 20 5 9,,,, I2T 8 9 8a27a828,b2a7287,a28272a7,b8a2a72,b282832,2a8a28a7,d2382,3a2b8a2,8b2b82 O2T None	33333333 33333333 33333333 33333333 33333333 33333333 33333333 33333333 33333333	{"train":[{"input":[[4,4,4,4,6,6,4,4,6],[4,6,4,6,4,6,4,4,6],[4,4,4,4,4,4,6,6,6],[6,4,4,4,4,6,4,4,4],[6,4,6,4,4,4,4,6,6],[4,6,6,4,4,6,4,6,4],[4,4,4,4,6,4,4,4,4],[4,4,6,4,4,4,4,4,4],[4,4,6,4,4,4,4,6,4]],"output":[[6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6],[6,6,6,6,...	0	dataset=solve_color group=identify_most_or_least_popular_color least_popular same predict=rawpixels earlier_prediction=none image_width=medium image_height=small task_pixels=b
Simon-Solve-Version1 predict raw pixels for 'O2T'	I0 20 13 932a62a6e29b262,a26d29269b29c2,a26236b296a2a926a29,e2a6g26262,b262a6a26e2a6a2,6a2a8d2626b23629,3c2a8d26a2326a2,b2631f29d23,9a26163d236c262,2361b262623d2326,a261g29b29232,a216262a6j2,212a6c2a6e2326 O0 20 13 0,,,,m06d0,0,g06j0,g0b6h0,n06c0,0,m06d0,,0 I1 16 22 39393a963b9a393,a9693j9,a9a37b93b96939,393967d9a3a93,...	00000000000000000000 00066666000000666600 00000666600000666660 00000006600066666660 00000000600066666660 00000000600000066660 00000000600000066660 00000000000000066660 00000000000000066660 00000000000000600060 06000000660000000000 06000066600000000000 00600066600000000000 00600000600000000000 00600000000000006000 06600...	{"train":[{"input":[[9,3,2,6,6,2,6,6,2,2,2,2,2,2,9,2,2,2,6,2],[2,2,6,2,2,2,2,2,9,2,6,9,2,2,2,9,2,2,2,2],[2,2,6,2,3,6,2,2,2,9,6,2,2,9,9,2,6,2,2,9],[2,2,2,2,2,2,6,6,2,2,2,2,2,2,2,2,6,2,6,2],[2,2,2,6,2,6,6,2,2,6,2,2,2,2,2,2,6,6,2,2],[6,2,2,8,8,2,2,2,2,2,6,2,6,2,2,2,3,6,2,9],[3,2,2,2,2,8,8,2,2,2,2,2,6,2,2,3,2,6,2,2],[2,2,2...	0	dataset=solve_erosion group=erosion all8 predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=d
Simon-Solve-V1, 'O4T', predict the pixels	I0 21 15 7,,b7a9d2a929292a9a7,b79b2a9b29a2c9a7,b7a2a9g2b92a7,b7c929b2929a2a9a7,b729e2a92a9292a7,b7b92a9d29a292a7,b7b2b9292f9a7,b7c2a9292a92a929a7,b7a9292929a2a929a2a7,b7b292d92b9a2a7,b792b9e2a9292a7,b7292a92d929a29a7,7 O0 16 12 a9d5a959595a9,9b5a9b59a5c9,a5a9g5b95,c959b5959a5a9,59e5a95a9595,b95a9d59a595,b5b9595f9,c5a95...	5999999 9999999 5595959 9599999 9995999 9955999 9955999 9999999 9999959 9995599 9999995	{"train":[{"input":[[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,9,9,2,2,2,2,2,9,9,2,9,2,9,2,9,9,7,7],[7,7,7,9,2,2,2,9,9,2,2,2,9,2,2,9,9,9,9,7,7],[7,7,7,2,2,9,9,2,2,2,2,2,2,2,2,9,9,9,2,7,7],[7,7,7,9,9,9,9,2,9,2,2,2,9,2,9,2,2,9,9,7,7],[7,7,7,2,9,2,2,2,2,2,2,9,9,2,9,9,2,9...	0	dataset=solve_color group=replace_color_same_palette crop predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=d
simonsolvev1, O3T, predict raw pixels	I0 7 12 1,1c4a1,,,1,,b14a54,b14b1,b12140,1,, O0 7 12 1,14a54a1,14d1,12140a1,1,,,,,,, I1 12 8 1,,h1b4,b1537b1b4,b1a07b1b4,b1379e1,1, O1 12 8 1,,h1537,h1a07,h1379,1,, I2T 8 12 1,d1b4,,18381b4,1b6c1,13a8c1,1,,,,, O2T None I3T 12 8 1,d13a9c1,d1a73c1,1,,,b4d1b41, O3T None	111111111111 111111111111 111111111111 111111111111 111111111111 111111111111 399111113991 773111117731	{"train":[{"input":[[1,1,1,1,1,1,1],[1,4,4,4,4,1,1],[1,4,4,4,4,1,1],[1,4,4,4,4,1,1],[1,1,1,1,1,1,1],[1,1,1,1,1,1,1],[1,1,1,4,5,5,4],[1,1,1,4,1,1,1],[1,1,1,2,1,4,0],[1,1,1,1,1,1,1],[1,1,1,1,1,1,1],[1,1,1,1,1,1,1]],"output":[[1,1,1,1,1,1,1],[1,4,5,5,4,1,1],[1,4,1,1,1,1,1],[1,2,1,4,0,1,1],[1,1,1,1,1,1,1],[1,1,1,1,1,1,1],[...	1	dataset=solve_template group=template without_insertion_image predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
simonsolveversion1 predict pixels for O4T	I0 11 11 2a7d27a2,h010,0d10a1a0,e0101a0,10a101a0101,a0a10c101,01e01a0,0a10a101010,101a0101010,a101b01b0,7 O0 11 11 2a7d27a2,0a7d0710,b0b101b0,0a1b0101a0,1a0101a0101,a0a10c101,a01d01a0,01a0a10b10,b1a0101010,10a1b01b0,710d70a7 I1 15 13 2b7a27c27272,0,01b0c10c10,0b1b01c01a0,b0101010a101a0,0b101c0101a0,0b10a10b101a0,0c1a01...	7722722227227 7710701107007 0000001010110 0011001010000 1000101010110 0001111010000 1010010100110 1010000010100 0010111110000 0011100000111 0100011110000 0010000001110 0101110010101 0001011110100 0101000000101 1010011110010 0010101011010 0100001010010 1010101001000 1177177770770	{"train":[{"input":[[2,7,7,2,2,2,2,2,7,2,2],[0,0,0,0,0,0,0,0,0,1,0],[0,1,1,1,1,1,0,1,1,0,0],[0,0,0,0,0,0,1,0,1,0,0],[1,0,1,1,0,1,0,0,1,0,1],[0,0,1,1,0,1,1,1,1,0,1],[0,1,0,0,0,0,0,0,1,0,0],[0,1,1,0,1,1,0,1,0,1,0],[1,0,1,0,0,1,0,1,0,1,0],[1,1,0,1,0,0,0,1,0,0,0],[7,7,7,7,7,7,7,7,7,7,7]],"output":[[2,7,7,2,2,2,2,2,7,2,2],[...	0	dataset=solve_deform group=deform_line rotate_3 displacement_-1 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
simon-solve-version1, 'O4T', predict the pixels	I0 21 16 6g26c26c262,d26b26e26b26,c2b626h26a2,a262a6c2a6g26,2b626a26f26c2,b26k26c2,6a26c2b6i2,26a26b26d26a26b2,g26i2a6,2626c26a26b26d2,26h2a6e262,a2a6b26c26g2,k26c2b62,g26c26f2,d26f2b6c26,6b26l26a2 O0 21 16 2g62c62c626,d62b62e62b62,c6b262h62a6,a626a2c6a2g62,6b262a62f62c6,b62k62c6,2a62c6b2i6,62a62b62d62a62b6,g62i6a2,626...	8888 3383 3838 8888 8888 3388 8883 8888 8888 3833 8833 8888 3838	{"train":[{"input":[[6,2,2,2,2,2,2,2,2,6,2,2,2,2,6,2,2,2,2,6,2],[2,2,2,2,2,6,2,2,2,6,2,2,2,2,2,2,6,2,2,2,6],[2,2,2,2,6,6,6,2,6,2,2,2,2,2,2,2,2,2,6,2,2],[2,2,6,2,6,6,2,2,2,2,6,6,2,2,2,2,2,2,2,2,6],[2,6,6,6,2,6,2,2,6,2,2,2,2,2,2,2,6,2,2,2,2],[2,2,2,6,2,2,2,2,2,2,2,2,2,2,2,2,6,2,2,2,2],[6,2,2,6,2,2,2,2,6,6,6,2,2,2,2,2,2,2...	0	dataset=solve_color group=swap_colors predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=c
simon-solve-v1, 'O5T', predict the raw pixels	I0 22 14 m63f6,,m6a9e6,j6b93f6,h6a9b63f6,e6b9d63f6,b6b9g63f6,6a9k4f6,6,,,,, O0 22 14 6,6k1c6c16,6h1e6d16,6f1h6c16,6c1j6d16,61i61b6d16,o6d16,,,6s16,,,,6 I1 5 19 5,,,,,1a595,61b5,51b5,56195,52159,95215,a5629,a5652,a96a5,9a565,5a965,,b596,5b96 O1 5 19 6,6b16,,,b616,6,b616,6,,,,,,,,,,, I2 19 19 a95j95c9,d9595h959,95c95a9a1...	666666666 616666616 666666616 666666616 666666616 666666616 666666616 666666616 666666616 666666616 666661616 666666116 611111116 611111116 611111116 611111116 666666666	{"train":[{"input":[[6,6,6,6,6,6,6,6,6,6,6,6,6,6,3,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6,6,6,6,3,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6,6,6,6,9,9,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,6,6,9,9,9,3,6,6,6,6,6,6,6],[6,6,6,6,6,6,6,6,6,9,9,6,6,6,3,6,6,6,6,6,6,6],[6,6,6,6,6,6,9,9,9,6,6,6,6,6,3,6,6,6,6,6,6,6],[6,6,6,9,9,9,6,6,6,6,6,6...	1	dataset=solve_erosion group=erosion corner4 predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=d
simonsolvev1 'O4T' predict the raw pixels	I0 18 21 2,,,,,i253a7c2,i25714c2,i2a104c2,i24304c2,2,,,,,2c1l2,,,,2,, O0 18 21 2,,,,,,,,,,,,,,253a7l2,25714l2,2a104l2,24304l2,2,, I1 21 7 n2c1a2,d2c1e2c1a2,d2c12a1a02c1a2,d2c1210692c1a2,d2c126129f2,i2a121f2,2 O1 21 7 n2a1a0a2,d2a1a0e21069a2,d21069e26129a2,d26129e2a121a2,d2a121k2,2, I2 7 15 2,,,,,2c1a2,,,,2,,2a131a2,231...	2222222 2222222 2222222 2222222 2222222 2222222 2222222 2205222 2280222 2208222 2222222 2222222 2222222	{"train":[{"input":[[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,5,3,7,7,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,5,7,1,4,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,1,1,0,4,2,2,2...	1	dataset=solve_template group=template without_insertion_image predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c
SIMONSOLVEVERSION1, O4T, predict raw pixels	I0 10 15 2a9a2929a2,e29b2,a29292a929,9h2,9292929b2,9a23c929,2923234b9,a2a9324292,b293a24a2,9a23232429,b2323a249,9232929b2,2439b2929,23f29,2329a2a929 O0 1 2 2, I1 3 9 030,630,060,030,0,0a3,3a0,0,a03 O1 1 2 0, I2 10 18 293a928290,a836298089,9836a939a0,9823693989,82832632a8,8713173789,8973813712,82983783a9,c9387360,089739...	4 4	{"train":[{"input":[[2,9,9,2,2,9,2,9,2,2],[2,2,2,2,2,2,9,2,2,2],[2,2,9,2,9,2,9,9,2,9],[9,2,2,2,2,2,2,2,2,2],[9,2,9,2,9,2,9,2,2,2],[9,2,2,3,9,9,9,9,2,9],[2,9,2,3,2,3,4,9,9,9],[2,2,9,9,3,2,4,2,9,2],[2,2,2,9,3,2,2,4,2,2],[9,2,2,3,2,3,2,4,2,9],[2,2,2,3,2,3,2,2,4,9],[9,2,3,2,9,2,9,2,2,2],[2,4,3,9,2,2,2,9,2,9],[2,3,2,2,2,2,2...	1	dataset=solve_color group=identify_most_or_least_popular_color most_popular NxM predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=b
simon-solve-version1 'O4T' predict the raw pixels	I0 21 12 i50i5,,,c0a10b50i5,a1010a1b50i5,b10101b50i5,1010101b50i5,,a1a0101b50i5,01010a1b50i5,1a0a101b50i5,c10a1b50i5 O0 21 12 i50i5,,,i50b5c0a10,i50b5a1010a1,i50b5b10101,i50b51010101,,i50b5a1a0101,i50b501010a1,i50b51a0a101,i50b5c10a1 I1 21 21 i50i5,,,g1a50i5,101010a1a50i5,b101010a50i5,b0a10a1a50i5,b1a0101a50i5,1a0b101a...	5555555550555555555 5555555550555555555 5555555550555555555 5555555550555555555 5555555550555555555 5555555550501111111 5555555550510010001 5555555550501110101 5555555550501001111 5555555550501101001 5555555550501101011 5555555550501111111	{"train":[{"input":[[5,5,5,5,5,5,5,5,5,5,0,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,0,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,0,5,5,5,5,5,5,5,5,5,5],[0,0,0,0,1,1,0,5,5,5,0,5,5,5,5,5,5,5,5,5,5],[1,1,0,1,0,1,1,5,5,5,0,5,5,5,5,5,5,5,5,5,5],[1,1,1,0,1,0,1,5,5,5,0,5,5,5,5,5,5,5,5,5,5],[1,0,1,0,1,0,1,5,5,5,0,5,5,5,5,5,5,5...	0	dataset=solve_mirror group=mirror a_left b_right rotate_0 predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d
SIMONSOLVEVERSION1 predict raw pixels for 'O2T'	I0 11 16 1a719b7a19,a717a1715a7,a17a159c1,71a71a7c1,7979a1797a1,71a717a17a1,1919197b17,a7a1a719b1,19591719a17,171b7157a1,b19a17b15,a951717b17,7b19b1b7,5a19717b17,7971519a7a1,1a719a1b91 O0 11 16 6,,c61a61b6,a6161c6a1,16161c6a1,c61c616,h616,g6a16,d6a1a616,1g616,h616,d6161b6,d6161a61,d61d6,,6 I1 16 7 l1a21,j1a2b1,a1a8c1b2...	6666666 1111111 1111111 1111111 1111111 1111111 1111111 6111111 6661111 6666611 1666661 1116661 1111161 1111111 6666666	{"train":[{"input":[[1,7,7,1,9,7,7,7,1,1,9],[7,7,1,7,1,1,7,1,5,7,7],[1,1,7,1,1,5,9,1,1,1,1],[7,1,7,7,1,7,7,1,1,1,1],[7,9,7,9,1,1,7,9,7,1,1],[7,1,7,7,1,7,1,1,7,1,1],[1,9,1,9,1,9,7,1,1,1,7],[7,7,1,1,7,7,1,9,1,1,1],[1,9,5,9,1,7,1,9,1,1,7],[1,7,1,7,7,7,1,5,7,1,1],[1,1,1,9,1,1,7,1,1,1,5],[9,9,5,1,7,1,7,1,1,1,7],[7,1,1,1,9,1...	0	dataset=solve_erosion group=erosion tb2 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
SIMON-SOLVE-VERSION1 predict raw pixels for O3T	I0 3 11 8,,,,,,,,,,1a8 O0 1 1 4 I1 6 18 8,81c8,8,,,,,,,,,,,181b8,8,,, O1 1 3 4,, I2 8 17 8,,,f81,8,f81,,8,e818,8,81e8,8,,,,,1f8 O2 1 6 4,,,,, I3T 9 20 8,a81e8,8,d81b8,8,,,,,,d81b8,8,,c81c8,8,,,,, O3T None	4 4 4 4	{"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],[1,8,8]],"output":[[4]]},{"input":[[8,8,8,8,8,8],[8,1,8,8,8,8],[8,8,8,8,8,8],[8,8,8,8,8,8],[8,8,8,8,8,8],[8,8,8,8,8,8],[8,8,8,8,8,8],[8,8,8,8,8,8],[8,8,8,8,8,8],[8,8,8,8,8,8],[8,8,8,8,8,8],[8,8,8,8,8,8],[8,8,8,8,8,8],[1,...	0	dataset=solve_count group=count_pixels_and_repeat_output_pattern repeat_y predict=rawpixels earlier_prediction=none image_width=small image_height=medium task_pixels=a
SIMONSOLVEVERSION1 'O2T' predict the raw pixels	I0 13 16 8d418a1818,a1818481c81,18a18148a18a1,a1a8a14a8b18,18a18141c81,e14b1b8,18c1848c1,18187a8a61018,a1817a64601a8,1810718160a18,18181b861a81,d18b1a8a1,d181818a18,181818a18b18,18c1a8181a8,b181a81b8a1 O0 13 16 a8b2g8,h8a2a8,8,i82a8,h8a2a8,8c2b82a828,b8a2d8a28,8,,,e82e8,8b2b82d8,8b2h8,i82a8,b8a2g8,82f82b8 I1 16 13 13g4...	8888228888888 8888888888888 8288228888828 8882888288888 8888828888888 8882888888888 8888222228888	{"train":[{"input":[[8,4,4,4,4,4,1,8,1,1,8,1,8],[1,1,8,1,8,4,8,1,8,8,8,8,1],[1,8,1,1,8,1,4,8,1,1,8,1,1],[1,1,8,8,1,1,4,8,8,1,1,1,8],[1,8,1,1,8,1,4,1,8,8,8,8,1],[1,1,1,1,1,1,4,1,1,1,8,8,8],[1,8,1,1,1,1,8,4,8,1,1,1,1],[1,8,1,8,7,8,8,6,6,1,0,1,8],[1,1,8,1,7,6,6,4,6,0,1,8,8],[1,8,1,0,7,1,8,1,6,0,1,1,8],[1,8,1,8,1,8,8,8,6,1...	0	dataset=solve_erosion group=erosion lr2 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
Simon-Solve-V1, O5T, predict pixels	I0 7 1 b6c1 O0 7 7 e21,d212,c21a2,b21b2,a26c2,26d2,6e2 I1 15 5 848a90890498049,4b9d40848a4,898a4b8b49849,0989408489848a4,9a4848b484b94 O1 15 19 m29,l2a4,k2049,j2a8a4,i2948a4,h2489892,g2a0a49a2,f29a489b2,e28a494c2,d204b8d2,c2948a4e2,b294a84f2,a289404g2,249a48h2,89894i2,49a8j2,894k2,04l2,9m2 I2 7 16 c1a21,2b12a1,2c1a2,a1...	222222222227 222222222277 222222222777 222222227771 222222277912 222222779122 222227791222 222279912222 222795522222 227557222222 255772222222 577722222222 777222222222 772222222222 722222222222	{"train":[{"input":[[6,6,6,1,1,1,1]],"output":[[2,2,2,2,2,2,1],[2,2,2,2,2,1,2],[2,2,2,2,1,2,2],[2,2,2,1,2,2,2],[2,2,6,2,2,2,2],[2,6,2,2,2,2,2],[6,2,2,2,2,2,2]]},{"input":[[8,4,8,9,9,0,8,9,0,4,9,8,0,4,9],[4,9,9,9,4,4,4,4,4,0,8,4,8,4,4],[8,9,8,4,4,8,8,8,4,4,4,9,8,4,9],[0,9,8,9,4,0,8,4,8,9,8,4,8,4,4],[9,4,4,8,4,8,4,4,4,8,...	1	dataset=solve_skew group=skew_up predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=c
SIMON-SOLVE-V1 predict raw pixels for O3T	I0 16 20 3,,,,,,,,,,9,3,i3c5a3,i3a595a3,i35a95a3,i3b59a3,i35959a3,,,i3a5a9a3 O0 16 20 i3c5a3,i3a595a3,i35a95a3,i3b59a3,i35959a3,,,i3a5a9a3,3,,9,3,,,,,,,, I1 21 20 3,,,,,,,,,9,3,,,a39b59b5j3,a35b9c5j3,a39b5b95j3,a3a5a959a5j3,a359c5a9j3,a35d9a5j3,a3g5j3 O1 21 20 a39b59b5j3,a35b9c5j3,a39b5b95j3,a3a5a959a5j3,a359c5a9j3,a35...	3333333333995559933 3333333333555955933 3333333333599955933 3333333333555955933 3333333333595595933 3333333333559599533 3333333333559555533 3333333333333333333 3333333333333333333 9999999999999999999 3333333333333333333 3333333333333333333 3333333333333333333 3333333333333333333 3333333333333333333 3333333333333333333 ...	{"train":[{"input":[[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3,3...	0	dataset=solve_mirror group=mirror a_left b_right rotate_1 predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=d
SIMONSOLVEV1 predict pixels for 'O3T'	I0 13 8 4,b37c3a7b3,a37d3a7a37,73d73737a3,e3737a373,3c7373c73,b3a7d37a3,c8b4a8a4a8 O0 13 8 c4b3a473a4,b37c3a7b3,a373b7373737,73a7a3737c3,c37373c73,3c7b373a73,b37b4a3a4a3,c8b4a8a4a8 I1 16 6 4,a37h3a7a3,3i7d3,7a37e373b73,d37i3,8b484a84b848a4 O1 16 6 437343a43b474a3,3b737a37c37a3,b3a73a73a737373,7c37c37a37a3,3b434a34b343a...	4444434444734434344344 7777337333333337333333 7777373373777737373773 7733737773333377337333 3373773737777737373733 3337737333733333373777 3773373777333777373377 3733773733737777377333 3377373373337733773733 3737737333333337337733 7333343377443343437477 8888848888448848488488	{"train":[{"input":[[4,4,4,4,4,4,4,4,4,4,4,4,4],[3,3,3,7,3,3,3,3,7,7,3,3,3],[3,3,7,3,3,3,3,3,7,7,3,3,7],[7,3,7,7,7,7,7,3,7,3,7,3,3],[3,3,3,3,3,3,7,3,7,3,3,7,3],[3,7,7,7,7,3,7,3,7,7,7,7,3],[3,3,3,7,7,3,3,3,3,3,7,3,3],[8,8,8,8,4,4,4,8,8,4,4,8,8]],"output":[[4,4,4,4,3,3,3,4,4,7,3,4,4],[3,3,3,7,3,3,3,3,7,7,3,3,3],[3,3,7,3,...	0	dataset=solve_deform group=deform_line rotate_1 displacement_-1 predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=c

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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.

Version 191

Generated data.

Version 192

Generated data.

Version 193

Generated data.

Version 194

Generated data.

Version 195

Generated data.

Version 196

Increased the number of rows from 4000 to 8000.

Generated data.

Version 197

Generated data.

Version 198

Generated data.

Version 199

Generated data.

Version 200

Generated data.

Version 201

Generated data.

Version 202

Generated data.

Version 203

Generated data.

Added DatasetSolveMirror.

Version 204

Generated data.

Version 205

Smaller images. max image size 12.

Version 206

max image size 14.

Version 207

max image size 16.

Version 208

max image size 18.

Version 209

max image size 20.

Version 210

max image size 22.

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