Datasets:

neoneye
/

simon-arc-combine-v184

instruction stringclasses 400 values	input stringlengths 96 3.91k	output stringlengths 1 929	arc_task stringlengths 284 14.1k	test_index int64 0 1	benchmark stringclasses 304 values
Simon-Solve-V1 predict pixels for O4T	I0 10 21 5,,d50c5,5,,,,,,,,,,h51,5,,,,,2h5,5 O0 10 21 1,,,1g71,,,,,,,,,,,,,,,,1, I1 15 12 5,,,d51h5,h58d5,5,f58f5,5,j54b5,5,,c51i5 O1 15 12 1,,,,d1e7c1,,,,,,,1 I2 7 11 c56a5,5,,d505,5,,,,,,8e5 O2 7 11 1,1c7a1,,,,,,,,,1 I3 6 18 5,,d53,5,,,,,,,57c5,5,,,,,, O3 6 18 1,,,a1b71,,,,,,,1,,,,,,, I4T 17 14 5,,,,,,g52g5,5,d58j5,5...	11111111111111111 11111111111111111 11111111111111111 11111111111111111 11111111111111111 11111111111111111 11111111111111111 17777777777711111 17777777777711111 17777777777711111 17777777777711111 17777777777711111 17777777777711111 11111111111111111	{"train":[{"input":[[5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,0,5,5,5,5],[5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5...	0	dataset=solve_boundingbox group=boundingbox_of_lonely_pixels filled_inner predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=c
simon-solve-v1 'O5T' predict the pixels	I0 17 5 46n4,l49b4,e46i4,a43g49d4,4 O0 17 5 n7a6,,,, I1 10 13 4,,,,,,d40c4,e47b4,f43a4,4,,, O1 10 13 6,,,,,c6d76,,,,,6,, I2 19 11 4,,n43b4,d49l4,4,,e43k4,b45a42k4,4,, O2 19 11 6,a6n7a6,,,,,,,,6, I3 20 21 4,,,,e46l4,4,,,,,,,,,,n43c4,4,,,, O3 20 21 6,,,d6k7b6,,,,,,,,,,,,,,6,,, I4T 6 14 4,,,b47a4,4,,,,,,,,d46,4 O4T None I...	666 666 666 666 777 777 777 777 777 666 666 666 666 666 666 666 666 666 666	{"train":[{"input":[[4,6,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4,9,4,4,4],[4,4,4,4,4,4,6,4,4,4,4,4,4,4,4,4,4],[4,4,3,4,4,4,4,4,4,4,4,9,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4]],"output":[[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,6,6],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,6,6],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,6,6],[...	1	dataset=solve_boundingbox group=boundingbox_of_lonely_pixels filled_outer predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=c
SIMON-SOLVE-VERSION1, 'O5T', predict the pixels	I0 5 31 52b5,5,,,a5252,5,b525,5,,a52a5,5,,,a52a5,52b5,3,4,,b474,4,,,,b474,4,,47474,4,,47474,b474 O0 5 15 24b2,2,b242,2,a2424,2,b242,,2,a24a2,24242,2,,2b42,24242 I1 10 39 5,,d52c5,a52f5,5,e52a52,5,d5a2b5,52g5,b5252c5,52b5252a5,b52e5,5,a5a2e5,5,e52b5,5,2a52e5,g525,3,7a47a47b4,74b747474,74b7a47a4,b4a7474a7,4e74a7,a4a747b4...	4422444442242 2224444422242 4442222424244 2222242224244 2224424224224 2422224422224 2424244422244 2424422242222	{"train":[{"input":[[5,2,5,5,5],[5,5,5,5,5],[5,5,5,5,5],[5,5,5,5,5],[5,5,2,5,2],[5,5,5,5,5],[5,5,5,2,5],[5,5,5,5,5],[5,5,5,5,5],[5,5,2,5,5],[5,5,5,5,5],[5,5,5,5,5],[5,5,5,5,5],[5,5,2,5,5],[5,2,5,5,5],[3,3,3,3,3],[4,4,4,4,4],[4,4,4,4,4],[4,4,4,7,4],[4,4,4,4,4],[4,4,4,4,4],[4,4,4,4,4],[4,4,4,4,4],[4,4,4,7,4],[4,4,4,4,4],...	1	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=medium image_height=other task_pixels=d
SIMON-SOLVE-V1 predict raw pixels for 'O3T'	I0 45 14 23a232b3d2a3b2a327e2323h23b2,a2c3a23232323a2323a27j23i2,a2a3a2b3d23232c37b23b23m2,23a2a32c3d2a3b237i23j2,a32a3c23a23b23a2a327a323p23,b3d23232a3c23b27o23d2,a2d3c2b323a2b3273q23a2,c3b2a32a3c23b2327l23b2323a2,3a232c3b23d232a373p23b2,2a3b23d23h27a23e23j23,23a23e232b323b2373e23k2a3,3b23c23c23c23a27r23a2,e23a23e2a3c...	3343333334333443 3333333333434433 3333333334334434 3333343444333433 3333333333333333 3343333333434333 3343333333433343	{"train":[{"input":[[2,3,2,2,3,2,3,3,3,2,2,2,2,2,3,3,2,2,2,3,3,2,7,2,2,2,2,2,2,3,2,3,2,2,2,2,2,2,2,2,2,3,2,2,2],[2,2,3,3,3,3,2,2,3,2,3,2,3,2,3,2,2,3,2,3,2,2,7,2,2,2,2,2,2,2,2,2,2,2,3,2,2,2,2,2,2,2,2,2,2],[2,2,3,3,2,2,3,3,3,2,2,2,2,2,3,2,3,2,3,3,3,3,7,2,2,2,3,2,2,2,3,2,2,2,2,2,2,2,2,2,2,2,2,2,2],[2,3,2,2,3,3,2,3,3,3,3,2...	0	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=other image_height=medium task_pixels=c
simon-solve-v1, O3T, predict raw pixels	I0 15 40 24242f42a4,a42a42b42d4,4b2a4a24242424,a2d42a42b42,242c42424a2a4,a242e4a2a42,f4242a42a4,a4a2d42b424,b424a2g4,b42j4,b42c424242a4,e42424a2b4,4b2a424a2c42,2c42a4c2424,42a4242d4242,a4242b42e4,42d4a2d42,4a2g42a42,42d4242c42,a2b42a42a42b4,13l1,k13a1,13i1a31,1,i1313a1,i13c1,c13i1,g13e1,1,a13k1,h1313a13,a13a13a13d13,g1...	66 62 22 66 62 26 22 26 22 66 22 62 62 26 26 22	{"train":[{"input":[[2,4,2,4,2,4,4,4,4,4,4,4,2,4,4],[4,4,2,4,4,2,4,4,4,2,4,4,4,4,4],[4,2,2,2,4,4,2,2,4,2,4,2,4,2,4],[2,2,4,4,4,4,4,2,4,4,2,4,4,4,2],[2,4,2,4,4,4,4,2,4,2,4,2,2,4,4],[2,2,4,2,4,4,4,4,4,4,2,2,4,4,2],[4,4,4,4,4,4,4,2,4,2,4,4,2,4,4],[4,4,2,2,4,4,4,4,4,2,4,4,4,2,4],[4,4,4,2,4,2,2,4,4,4,4,4,4,4,4],[4,4,4,2,4,4...	1	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=medium image_height=other task_pixels=d
SIMON-SOLVE-V1 predict pixels for 'O3T'	I0 11 7 3f9839,3a9439a48a9,8b94b9493,a4d949a4,4c98d9,b9a4c989,9494a93a949 O0 1 1 9 I1 7 6 4,45a43a4,4543b4,c4a34,b3a403,a4c34 O1 1 1 4 I2 6 16 b3413,a41434,3a1b3,a1c3,343434,3c43,143413,a4b31,34a343,31c3,3b4a3,3b434,341b3,313b4,3a41a3,43b41 O2 1 1 3 I3T 16 17 a9b7a979f7,l79a7,79m7,c79e79c7,9f79f7,979c7979a79b7,d79a7979...	7	{"train":[{"input":[[3,9,9,9,9,9,9,9,8,3,9],[3,9,9,4,3,9,4,4,8,9,9],[8,9,9,9,4,9,9,9,4,9,3],[4,4,9,9,9,9,9,4,9,4,4],[4,9,9,9,9,8,9,9,9,9,9],[9,9,9,4,4,9,9,9,9,8,9],[9,4,9,4,9,9,3,9,9,4,9]],"output":[[9]]},{"input":[[4,4,4,4,4,4,4],[4,5,4,4,3,4,4],[4,5,4,3,4,4,4],[4,4,4,4,3,3,4],[3,3,3,4,4,0,3],[4,4,3,3,3,3,4]],"output"...	0	dataset=solve_color group=mostleast_popular_color most_popular 1x1 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
SIMONSOLVEV1, O3T, predict pixels	I0 20 22 a7a6a7c6b767a6a76,d67f6a7d6,67d6767b676b767,b767d67e6a76,d67a6c7676a7676,7b67a67b67a6767676,c6a7a6a7b6a7b676,b67a6e7b6767a6,6a7a676b7b67b6a76,67a6a76b76a7676a7a6,6a767b67b6c7c6,f45a45d45a45,a4545b4d5d4a5,5c45j4545,a5h45b45b45,4545e45e45a4,a4545a45i454,g45a45d45a4,5r4,c45f45b45b4,5e45k4,45b45d45c45a45 O0 20 11 ...	95999999595599959595 99999595999959999959 99995995555999559599 59995995555999999999 99955959959999599959 95559999999999999955 99599959999599999599 55959595599959959555 55999559999995955595 55599955959955559999 99995995999999595995 99595959999955999599 99999959599999999595 99595995959959959595 95595999959999999999 55955...	{"train":[{"input":[[7,7,6,6,7,7,6,6,6,6,7,7,7,6,7,6,6,7,7,6],[6,6,6,6,6,7,6,6,6,6,6,6,6,7,7,6,6,6,6,6],[6,7,6,6,6,6,6,7,6,7,6,6,6,7,6,7,7,7,6,7],[7,7,7,6,7,6,6,6,6,6,7,6,6,6,6,6,6,7,7,6],[6,6,6,6,6,7,6,6,7,7,7,7,6,7,6,7,7,6,7,6],[7,6,6,6,7,6,6,7,6,6,6,7,6,6,7,6,7,6,7,6],[6,6,6,6,7,7,6,6,7,7,6,6,6,7,7,6,6,6,7,6],[6,6,6...	0	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=medium image_height=other task_pixels=d
simon-solve-version1 predict raw pixels for 'O3T'	I0 22 6 2,g253k2,d21a5a23j2,c2a5d2a3h2,l23g2,m23f2 O0 22 6 2,,,,, I1 6 26 b4a72,5a7a47,24a747,a72572,b7572,a45a72,243b7,743a74,243424,753527,4135a7,713545,413b7,713747,,4734a7,a75357,a47372,7273a7,254372,275374,757347,b73a7,4523a7,7a4375,457372 O1 6 26 7,,,,,,,,,,,,,,,,,,,,,,,,, I2 26 23 m515b1b51b5,5,5151a51h5a151b51a...	99999999999999999999999 99999999999999999999999 99999999999999999999999 99999999999999999999999 99999999999999999999999 99999999999999999999999 99999999999999999999999 99999999999999999999999 99999999999999999999999 99999999999999999999999 99999999999999999999999 99999999999999999999999 99999999999999999999999 99999999...	{"train":[{"input":[[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,5,3,2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,1,5,5,2,2,3,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,5,5,2,2,2,2,2,3,3,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2,2,3,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2,2,2,3,2,2,2,2,2,2,2]],"output":[[2,2,2,2,2,2,...	0	dataset=solve_color group=mostleast_popular_color most_popular same predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d
Simon-Solve-Version1, 'O3T', predict the raw pixels	I0 13 20 2,b2g3a2,b23e23a2,,,,,b2381c23a2,b23a28b23a2,b23181b23a2,b23218b23a2,b23e23a2,,,b2g3a2,2,,,, O0 13 20 2,b2g3a2,,,,,,b23812c3a2,b23a28c3a2,b23181c3a2,b23218c3a2,b2g3a2,,,,2,,,, I1 17 14 2,,,2m3a2,23k23a2,23c2a8e23a2,23d21e23a2,23c2128d23a2,23c2a18d23a2,23k23a2,2m3a2,2,, O1 17 14 2,,,2m3a2,,2d3a82e3a2,2d3212e3a2...	222222222222222222 222222333333333222 222222333333333222 222222333333333222 222222333333333222 222222333333333222 222222333333333222 222222333112823222 222222333812813222 222222333128283222 222222333822123222 222222333333333222 222222333333333222 222222333333333222 222222333333333222 222222333333333222 2222222222222222...	{"train":[{"input":[[2,2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,3,3,3,3,3,3,3,3,2,2],[2,2,2,3,2,2,2,2,2,2,3,2,2],[2,2,2,3,2,2,2,2,2,2,3,2,2],[2,2,2,3,2,2,2,2,2,2,3,2,2],[2,2,2,3,2,2,2,2,2,2,3,2,2],[2,2,2,3,2,2,2,2,2,2,3,2,2],[2,2,2,3,8,1,2,2,2,2,3,2,2],[2,2,2,3,2,2,8,2,2,2,3,2,2],[2,2,2,3,1,8,1,2,2,2,3,2,2],[2,2,2,3,2,1,8,2,2,2...	0	dataset=solve_boundingbox group=boundingbox_inner simple_fill predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=d
simonsolveversion1 predict raw pixels for O5T	I0 17 6 g04a07d0,e05i0,k02c0,0,n050,0 O0 17 6 e2i32,,,,,2 I1 22 10 0,,,,i03j0,0,j08i0,0,, O1 22 10 2,,,,i2a3i2,,,2,, I2 11 21 f084a0,0,,,,,b08f0,0,,,c03e0,0,,,,,,,,, O2 11 21 b2e3a2,,,,,,,,,,,2,,,,,,,,, I3 15 17 0,,,h07d0,0,,,,b04j0,0,,,,,k09a0,a07j09,0 O3 15 17 2,,,a2l3,,,,,,,,,,,,,2 I4T 6 6 05c0,0,c050,0,, O4T None I...	2222222222222222222222 2222222222222222222222 2222222222222222222222 2222222222222222222222 2222222222222222222222 2222222333333333333332 2222222333333333333332 2222222333333333333332 2222222333333333333332 2222222333333333333332 2222222333333333333332 2222222333333333333332 2222222333333333333332 222222233333333333333...	{"train":[{"input":[[0,0,0,0,0,0,0,0,4,0,0,7,0,0,0,0,0],[0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]],"output":[[2,2,2,2,2,2,3,3,3,3,3,3,3,3,3,3,2],[2,2,2,2,2,2,3,3,3,3,3,3,3,3,3,3,2],[...	1	dataset=solve_boundingbox group=boundingbox_of_lonely_pixels filled predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d
Simon-Solve-V1 predict pixels for 'O3T'	I0 17 16 6a56a5b6a5d65,565a6565c6a5b6,d65b65a6565a6,5e65a656a5a65,i65c656,65656b5a6a5a6a56,h5a6a56565,a6a5b65a6b5a656,4c1b4a14a14b1,b14a1414f14,41a4a14141a4a1414,a14b14c1414141,c1414a14a1b414,a1b41b414a141a4,a1414b1a4c1a41,41b4a14a1a4d1 O0 17 8 b5858a585b85a85,58a58c5b8a5a85,58a58a58d5b85,585b8a5a8b5a8a5,c8585a8a58d5,8...	588 585 585 858 885 885	{"train":[{"input":[[6,5,5,6,5,5,6,6,6,5,5,6,6,6,6,6,5],[5,6,5,6,6,5,6,5,6,6,6,6,5,5,6,6,6],[6,6,6,6,6,5,6,6,6,5,6,6,5,6,5,6,6],[5,6,6,6,6,6,6,5,6,6,5,6,5,5,6,6,5],[6,6,6,6,6,6,6,6,6,6,5,6,6,6,6,5,6],[6,5,6,5,6,5,5,5,6,6,5,5,6,6,5,5,6],[5,5,5,5,5,5,5,5,5,6,6,5,5,6,5,6,5],[6,6,5,5,6,6,6,5,6,6,5,5,5,6,6,5,6],[4,1,1,1,1,4...	0	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=large image_height=other task_pixels=c
simon-solve-version1, 'O3T', predict the raw pixels	I0 18 5 0808a0b8a0808c0,8a08c08a08a0b80,f0b8e080,8a08h08b08,a08g08a0a8a0 O0 9 5 2c92b9,92a92c9,9f29,9a2a9b29,d2a9a2 I1 32 17 a80a8h08p0,d0808h0808d0a8a0808,a0a808n0b8a08d0,08a08d08e08a08a08e0a8,a80a8d080a8g0a8g0,a0808d0a8d0a80a8a08a080b8,a08b08a08e08a0a80b808a0a80,08a08a0a8b08a080808b0808a0b80,d0b8c0808c08e0a8c0,8c0a80...	99929299 22992229 22299922 22222929 92992299 29929229 92929929 22922222 99229229 92999999 92929292 99222229 29922222 29922929 29929292 99922929 99229929	{"train":[{"input":[[0,8,0,8,0,0,8,8,8,0,0,8,0,8,0,0,0,0],[8,0,0,8,0,0,0,0,8,0,0,8,0,0,8,8,8,0],[0,0,0,0,0,0,0,8,8,8,0,0,0,0,0,0,8,0],[8,0,0,8,0,0,0,0,0,0,0,0,0,8,0,0,0,8],[0,0,8,0,0,0,0,0,0,0,0,8,0,0,8,8,0,0]],"output":[[2,9,9,9,9,2,9,9,9],[9,2,9,9,2,9,9,9,9],[9,2,2,2,2,2,2,2,9],[9,2,2,9,9,2,2,2,9],[2,2,2,2,2,9,9,2,2]...	0	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=other image_height=medium task_pixels=c
SIMON-SOLVE-VERSION1, O3T, predict raw pixels	I0 36 17 848b4a8a48e48q1,48a4a848d484b87a17k171,8c4d84a8a48a4q1,84848e48c484e17b17f1,b48c4848b484847k17c1,a48b4c848b48a4e17a1717e1,b4b8f4a8a48f17e17b1,a8c4d84848484c1717i17,848b48d48484a8g1717f1,8b4a84b848e4b1717k1,4a8d4848d4a8q1,a48b4d8b48a48e17d1a7b17,8a484a8c48a484a8q1,a484e8b48c47p1,8484848a48d4848c17d17d171,a4e8a4...	84884888848 48448844844 84484444888 48888848888 84884448488 84884488848 88844848448 84848888484 88844444488 84488488888 44844888888 84484844888 48848884488 88848848844 84448884884 48488844884 48484848844 88888448888	{"train":[{"input":[[8,4,8,4,4,4,8,8,4,4,8,4,4,4,4,4,4,8,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],[4,8,4,4,8,8,4,8,4,4,4,4,4,8,4,8,8,8,7,1,1,7,1,1,1,1,1,1,1,1,1,1,1,1,7,1],[8,4,4,4,4,8,8,8,8,8,4,8,8,4,4,8,4,4,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],[8,4,8,4,8,4,4,4,4,4,4,8,4,4,4,4,8,4,1,1,1,1,1,1,7,1,1,1,7,1,1,1,1,1,1,1],[4,4...	1	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=other image_height=medium task_pixels=c
SIMON-SOLVE-V1 'O3T' predict the pixels	I0 19 20 5,,,,,5k1e5,51i51e5,,,,,5159a59d51e5,5158589d51e5,5158958d51e5,51i51e5,,,,5k1e5,5 O0 19 20 1,,,,,1k5e1,,,,,,1a59a59e5e1,1a58589e5e1,1a58958e5e1,1k5e1,,,,,1 I1 15 20 5,,,,,b5f1d5,b51d51d5,,,,,b518c51d5,b5189b51d5,b5159b51d5,b51d51d5,,b5f1d5,5,, O1 15 20 1,,,,,b1f5d1,,,,,,b158d5d1,b1589c5d1,b1a59c5d1,b1f5d1,,,1,...	1111111111111111111111 1111115555555555551111 1111115555555555551111 1111115555555555551111 1111115555555555551111 1111115555555555551111 1111115555599985551111 1111115555858555551111 1111115555555555551111 1111115555555555551111 1111115555555555551111 1111115555555555551111 1111115555555555551111 111111555555555555111...	{"train":[{"input":[[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],[5,1,1,1,1,1,1,1,1,1,1,1,1,5,5,5,5,5,5],[5,1,5,5,5,5,5,5,5,5,5,5,1,5,5,5,5,5,5],[5,1,5,5,5,5,5,5,5,5...	1	dataset=solve_boundingbox group=boundingbox_inner swap_background_outer predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=d
Simon-Solve-V1 predict raw pixels for 'O3T'	I0 8 14 0,,,,,d01a0,05e0,0,,,,e070,0, O0 8 14 9,,,,,9e79,,,,,,,9, I1 21 19 0,,,,,,,06b04n0,g03k0,0,,,,,,,,, O1 21 19 9,,,,,,,9g7k9,,9,,,,,,,,, I2 19 18 0,,,,,,,,09p0,n05b0,0,,,,,,, O2 19 18 9,,,,,,,,9n7b9,,9,,,,,,, I3T 3 4 606,0,, O3T None	777 999 999 999	{"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],[0,0,0,0,0,1,0,0],[0,5,0,0,0,0,0,0],[0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0],[0,0,0,0,0,0,7,0],[0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0]],"output":[[9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9],[...	0	dataset=solve_boundingbox group=boundingbox_of_lonely_pixels filled predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=c
SIMON-SOLVE-VERSION1, 'O4T', predict the pixels	I0 12 15 7,,,,,,i703,7,,,g78b7,7,a76h7,7, O0 12 15 0,,,,,,,b0g80,,,,,0,, I1 20 16 7,,,,,,b79o7,7,,,,e73l7,7,,, O1 20 16 0,,,,,,,c0a8m0,,,,0,,,, I2 19 13 7,0q7,b79n7,7,,,2q7,7,,71p7,7,, O2 19 13 0,,0a8o0,,,,,,,0,,, I3 14 14 7,,f743d7,7,,,j71a7,7,,,,b72i7,7, O3 14 14 0,,,c0f8b0,,,,,,,,0,, I4T 19 4 9c71l7,g78i7,k7071c7,7 ...	0000000000000000000 0888888888888800000 0000000000000000000 0000000000000000000	{"train":[{"input":[[7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,0,3],[7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,8,7,7,7],[7,7,7,7,7,7,7...	0	dataset=solve_boundingbox group=boundingbox_of_lonely_pixels filled_inner predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=d
SIMONSOLVEV1 predict pixels for 'O4T'	I0 16 28 2,3n2,3a0l2,2320k2,23a2a0i2,a23b20h2,a23c2a0f2,2823d20e2,2813k2,a283d23e2,a2813b23f2,,b281323g2,b282123g2,c2813h2,c2821h2,c28313g2,d2821g2,c238i2,d28i2,e28h2,,f28g2,f26g2,,,, O0 1 1 2 I1 28 21 76a73a7b3a767a367a63763b73,36d767363c7a3a767376b7,a73b7a63d76a767a3f7,6b73a6h76d7b3737,3b73b767373b76a7376b36a3,d73b73...	2	{"train":[{"input":[[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2],[3,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2],[3,0,0,2,2,2,2,2,2,2,2,2,2,2,2,2],[2,3,2,0,2,2,2,2,2,2,2,2,2,2,2,2],[2,3,2,2,0,0,2,2,2,2,2,2,2,2,2,2],[2,2,3,2,2,2,0,2,2,2,2,2,2,2,2,2],[2,2,3,2,2,2,2,0,0,2,2,2,2,2,2,2],[2,8,2,3,2,2,2,2,2,0,2,2,2,2,2,2],[2,8,1,3,2,2,2,2,2,2,2,2,2,2...	1	dataset=solve_color group=mostleast_popular_color most_popular 1x1 predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d
simonsolvev1 predict pixels for 'O5T'	I0 13 21 7,3k7,7,,,,,,,d71f7,a73i7,7,,i70a7,7,,,,,, O0 13 21 9,,9h8b9,98f98b9,,,,,,,,,9h8b9,9,,,,,,, I1 14 11 7,k737,c72h7,7,,l70,7,,,,d73g7 O1 14 11 9,,d9g89,d98e989,,,,,,d9g89,9 I2 9 15 7,,d78b7,7,,c70c7,7,,,,,4g7,7,, O2 9 15 9,,,9c8c9,98a98c9,,,,,,9c8c9,9,,, I3 17 13 7,d79j7,d72a71g7,7,,,o78,7,,,i70e7,7, O3 17 13 9,...	999999999999999999999 999999988888888899999 999999989999999899999 999999989999999899999 999999989999999899999 999999989999999899999 999999988888888899999 999999999999999999999 999999999999999999999 999999999999999999999 999999999999999999999 999999999999999999999 999999999999999999999	{"train":[{"input":[[7,7,7,7,7,7,7,7,7,7,7,7,7],[3,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,1,7,7,7,7,7,7,7],[7,7,3,7,7,7,7,7,7,7...	1	dataset=solve_boundingbox group=boundingbox_of_lonely_pixels hollow_inner predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d
SIMONSOLVEV1 'O3T' predict the pixels	I0 35 2 1b3a1a3b1e37a4e94d94a9,a3a1d313a13131749d49b4949b4 O0 17 2 47a4a7b4a7b47a4,7b4b7474a7b474 I1 21 4 1b313a1317h49,1c3c137b494949a4,131b31b3749g4,1c31a31379b49c49 O1 10 4 4b747a4a7,4a74a74747,b4b74b7,c7a4a7a4 I2 13 19 d31749c4,31c37d49,d317a49b4,31c37e4,a313a17e4,31c37e4,b31a37e4,a31b3749c4,31c379d4,31c37d49,e37e4...	4747774477777474447447 4444444474477774444474 7477774744447474747447 4744477477447777447777 4777444447477447744747 4477474477474777777474 7777447477777777477477 4774477744477477477477 7747474774447447444774 7447477777444744444474 7474747744444447747474 7474477474474447444447 4777447447777774747777 477477444777444774444...	{"train":[{"input":[[1,3,3,3,1,1,3,3,1,1,1,3,3,3,3,3,3,7,4,4,9,9,9,9,9,9,4,9,9,9,9,9,4,9,9],[3,3,1,1,3,3,3,3,3,1,3,1,1,3,1,3,1,7,4,9,4,4,4,4,4,9,4,4,4,9,4,9,4,4,4]],"output":[[4,7,4,4,7,7,4,4,4,7,7,4,4,4,7,4,4],[7,4,4,4,7,7,7,4,7,4,7,7,4,4,4,7,4]]},{"input":[[1,3,3,3,1,3,1,1,3,1,7,4,4,4,4,4,4,4,4,4,9],[1,3,3,3,3,1,1,1,...	0	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=other image_height=large task_pixels=d
SIMON-SOLVE-V1, O2T, predict raw pixels	I0 19 23 a3b13131d31c3,a31c3c1c31a31,1b3b131c3b1313,313c131h31,131e3a13131a313,a1c31a3b13a1b31,g3b1a3a1a313,131e31313d13,g31a3131b313,31a31c3a131a313a1,c1313a1c31a3b1,7,b2626c26g2,n26a26,g2a6b2b6a26,j26f2,2a6b262626d26a2,6a26l262,c26d26d2a62,d2626a26e262,26a26g26a2a62,f2a6c26d2,c2626g26a26 O0 19 11 a818b18181b81c8,a81c...	81818188818888818818 88818888188181188888 88818888811888818188	{"train":[{"input":[[3,3,1,1,1,3,1,3,1,3,3,3,3,3,1,3,3,3,3],[3,3,1,3,3,3,3,1,1,1,1,3,3,3,3,1,3,3,1],[1,3,3,3,1,1,1,3,1,3,3,3,3,1,1,1,3,1,3],[3,1,3,1,1,1,1,3,1,3,3,3,3,3,3,3,3,3,1],[1,3,1,3,3,3,3,3,3,1,1,3,1,3,1,3,3,1,3],[1,1,3,3,3,3,1,3,3,1,1,1,3,1,1,3,3,3,1],[3,3,3,3,3,3,3,3,1,1,1,3,3,1,1,3,3,1,3],[1,3,1,3,3,3,3,3,3,1...	0	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=c
SIMONSOLVEVERSION1 'O2T' predict the pixels	I0 13 21 0,,,c0g70,c070343a070,c070434a070,c0703c070,c07b04a070,c070403a070,c07e070,,,,,c0g70,0,,,,, O0 13 21 0,,,c0g70,c0a7343b70,c0a7434b70,c0a73a0b70,c0a7a04b70,c0a7403b70,c0g70,,,,,,0,,,,, I1 17 15 0,c0k70,c07i070,c07b0a34c070,c07c0304b070,c07c0a43b070,c07i070,,c0k70,0,,,,, O1 17 15 0,c0k70,,c0c7a340c70,c0c70304c70...	0000000000000000 0000000000000000 0000777777777770 0000777777777770 0000777000437770 0000777440447770 0000777333307770 0000777777777770 0000000000000000 0000000000000000 0000000000000000	{"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],[0,0,0,0,7,7,7,7,7,7,7,7,0],[0,0,0,0,7,0,3,4,3,0,0,7,0],[0,0,0,0,7,0,4,3,4,0,0,7,0],[0,0,0,0,7,0,3,0,0,0,0,7,0],[0,0,0,0,7,0,0,0,4,0,0,7,0],[0,0,0,0,7,0,4,0,3,0,0,7,0],[0,0,0,0,7,0,0,0,0,0,0,7,0],[0,0,0,0,7,0,0,0,0,0...	0	dataset=solve_boundingbox group=boundingbox_inner simple_fill predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=d
simonsolvev1, O2T, predict pixels	I0 5 44 90909,909a0,,c09,090a9,a90a9,9b09,b9a0,a0a90,9a0a9,b090,90a90,9,90909,0c9,a0b9,090a9,9c0,,090a9,0,090a9,8c4,,48b4,848a4,48484,8c4,48b4,484a8,84b8,c48,48484,a8a48,8a484,8b48,a4a84,4a848,a4a84,,a48a4,84a84,48484,a8484 O0 5 22 a2020,a20a2,b0a2,02020,c20,202a0,a0a20,02b0,0b20,0a202,20b2,2c0,2a020,a20a2,20a20,20202,...	20202022202200020 02022020002222022 20022022202000022 22002020222020000 22002000000022020 02020202202020022 20220202200202022 20000000202200220 00222200022220202 02222002202000020 02020000000202002 22200020220222220 02200202020202202 22000222200222002 20220002202200022 20020222020220000 20020200222200020 00220000022022...	{"train":[{"input":[[9,0,9,0,9],[9,0,9,0,0],[9,0,9,0,0],[0,0,0,0,9],[0,9,0,9,9],[9,9,0,9,9],[9,0,0,0,9],[9,9,9,0,0],[0,0,9,9,0],[9,0,0,9,9],[0,0,0,9,0],[9,0,9,9,0],[9,9,9,9,9],[9,0,9,0,9],[0,9,9,9,9],[0,0,9,9,9],[0,9,0,9,9],[9,0,0,0,0],[9,0,0,0,0],[0,9,0,9,9],[0,0,0,0,0],[0,9,0,9,9],[8,4,4,4,4],[8,4,4,4,4],[4,8,4,4,4],...	0	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=medium image_height=other task_pixels=c
simonsolvev1 predict pixels for O3T	I0 3 7 3,,5a3,8,4,,a64 O0 3 3 6,,616 I1 17 13 353535b3e5a3,a353a5b3a5a35353,a3b5d3535b35,5a3a5c3a5b3535,b35d35b353a5,a3a535a3535d35,8,o46,a46c46h4,4,6d464a6c4646,4,m46a4 O1 17 6 616161b6e161,c6a1616a1a61616,a6b1d6161b61,b6a1616161e6,b61d61b616a1,a6a161a6161b6161 I2T 3 31 3,535,5,353,535,a35,3a5,535,3a5,3,a53,535,,3,353...	6661116661616161661116 6666661616661111661611 1616111116111611616166 6611661166666611161611 6661166611166611166666 6666666661666666661611 1661611116166611611666 1661111661661111666116 6666166611166161161116	{"train":[{"input":[[3,3,3],[3,3,3],[5,3,3],[8,8,8],[4,4,4],[4,4,4],[6,6,4]],"output":[[6,6,6],[6,6,6],[6,1,6]]},{"input":[[3,5,3,5,3,5,3,3,3,5,5,5,5,5,5,3,3],[3,3,5,3,5,5,3,3,3,5,5,3,3,5,3,5,3],[3,3,5,5,5,3,3,3,3,3,5,3,5,3,3,3,5],[5,3,3,5,5,3,3,3,3,5,5,3,3,3,5,3,5],[3,3,3,5,3,3,3,3,3,5,3,3,3,5,3,5,5],[3,3,5,5,3,5,3,3,...	1	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=large image_height=other task_pixels=c
Simon-Solve-V1 predict pixels for 'O3T'	I0 28 3 767e6a767h67d6,b6b7676a76767b67c67b67,d676c7d67a67b67c6 O0 28 3 676e7a676h76d7,b7b6767a67676b76c76b76,d767c6d76a76b76c7 I1 3 18 a61,6,1a6,616,,1,161,616,161,6,161,616,161,6,616,6,a61,6a1 O1 3 18 a16,1,6a1,161,,6,616,161,616,1,616,161,616,1,161,1,a16,1a6 I2 18 11 b5050k5,c50a50h50,a50c5a0g50,k50d5,a50c50a5a050c5...	11114441411 41111141114 11114111441 14441111114 14114114411 11441111114 11114411411 14111411411 11111114111 11114114114 41111141141 11411111111 11141444414 11141114141 44114111114 41444111111 44114441114 11111411111 11111444111 11111141411 11444114111 11111114441 11414144111	{"train":[{"input":[[7,6,7,6,6,6,6,6,6,7,7,6,7,6,6,6,6,6,6,6,6,6,7,6,6,6,6,6],[6,6,6,7,7,7,6,7,6,7,7,6,7,6,7,6,6,6,7,6,6,6,6,7,6,6,6,7],[6,6,6,6,6,7,6,7,7,7,7,6,6,6,6,6,7,6,6,7,6,6,6,7,6,6,6,6]],"output":[[6,7,6,7,7,7,7,7,7,6,6,7,6,7,7,7,7,7,7,7,7,7,6,7,7,7,7,7],[7,7,7,6,6,6,7,6,7,6,6,7,6,7,6,7,7,7,6,7,7,7,7,6,7,7,7,6]...	0	dataset=solve_color group=swap_colors predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c
simonsolveversion1 predict raw pixels for 'O4T'	I0 28 20 40a48f4048b040650a4b0,a0480b40a4a0a4a08065a40c4,404a8a404a8b4040a26c0a4a0,48048a40480c40256480a40a40,4a0b404840b402a346a8b4040,8a4848b4a0804a306a06d404,084b0a4840423a41a404a64a0a4,40a48a40b4a30a140408a46b04,a04a04a04a3a41a08a0a48086484,08a0a80a32a41a080a4048404184,a484a03a24a14808b0a40a40104,a0c424818a04048b0a...	111111111111111111111 111111111111111111111 111111111111111111111 111111111111111111111 111111111111111111111 111111111111111111111 111111111111111111111 111111111111111111111 111111111111111111111 111111111111111111111 111111111111111111111 111111111111111111111 111111111111111111111 111111111111111111111 111111111111...	{"train":[{"input":[[4,0,4,4,8,4,4,4,4,4,4,4,0,4,8,0,0,0,4,0,6,5,0,4,4,0,0,0],[0,0,4,8,0,4,4,4,0,4,4,0,0,4,4,0,0,8,0,6,5,4,4,0,4,4,4,4],[4,0,4,8,8,4,4,0,4,8,8,4,4,4,0,4,0,2,2,6,0,0,0,0,4,4,0,0],[4,8,0,4,8,4,4,0,4,8,0,4,4,4,4,0,2,5,6,4,8,0,4,4,0,4,4,0],[4,0,0,4,4,4,0,4,8,4,0,4,4,4,0,2,3,3,4,6,8,8,4,4,4,0,4,0],[8,4,4,8,4...	0	dataset=solve_color group=mostleast_popular_color most_popular same predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=e
Simon-Solve-V1 'O4T' predict the raw pixels	I0 12 19 5,,,,5h1a5,51f51a5,,,51b528a51a5,5158a52a51a5,51f51a5,,5h1a5,5,,,,, O0 12 19 1,,,,1h5a1,,,,1c528b5a1,1a58a52b5a1,1h5a1,,,1,,,,, I1 19 18 5,,,,e5g1d5,e51e51d5,,,e51a5b851d5,e51a52b51d5,e515b2851d5,e51e51d5,,,,e5g1d5,5, O1 19 18 1,,,,e1g5d1,,,,e1b5b8a5d1,e1b52c5d1,e1a5b28a5d1,e1g5d1,,,,,1, I2 18 15 5,,d5j1a5,d51...	111111111111111111 111111111111111111 111111111111111111 111555555555555111 111555582555555111 111555555555555111 111555525555555111 111555558555555111 111555555555555111 111111111111111111 111111111111111111 111111111111111111 111111111111111111 111111111111111111 111111111111111111	{"train":[{"input":[[5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5,5,5,5,5],[5,1,1,1,1,1,1,1,1,1,5,5],[5,1,5,5,5,5,5,5,5,1,5,5],[5,1,5,5,5,5,5,5,5,1,5,5],[5,1,5,5,5,5,5,5,5,1,5,5],[5,1,5,5,5,2,8,5,5,1,5,5],[5,1,5,8,5,5,2,5,5,1,5,5],[5,1,5,5,5,5,5,5,5,1,5,5],[5,1,5,5,5,5,5...	1	dataset=solve_boundingbox group=boundingbox_inner swap_background_outer predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=d
SIMONSOLVEV1 predict raw pixels for O4T	I0 13 44 2,27j2,2,7b27d27a2,2,e2a7d2,f27b272,a27a27f2,2,27c27e2,7k2,d27f2,b27c27c2,e27a27a27,2,d27a27a272,2,a27h27,j272,f27d2,7k2,h27b2,a27a27f2,c2727a27b2,7c27272a7a2,b2a72727b27,e27a27a27,272727c27a2,27b27d272,2a7b2d727,b272a7b2b7,272a7c27b2,f27b2a7,a272a7a2a7b2,b272727c27,7272d727a2,27c27d27,2a7b27b27a2,a7a2a7c27a2,...	37373333373333777733 37773777733333377737	{"train":[{"input":[[2,2,2,2,2,2,2,2,2,2,2,2,2],[2,7,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2,2],[7,2,2,2,7,2,2,2,2,2,7,2,2],[2,2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,7,7,2,2,2,2,2],[2,2,2,2,2,2,2,7,2,2,2,7,2],[2,2,7,2,2,7,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2,2],[2,7,2,2,2,2,7,2,2,2,2,2,2],[7,2,2,2,2,2,2,2,2,2...	1	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=medium image_height=other task_pixels=d
SIMON-SOLVE-V1 'O4T' predict the pixels	I0 18 6 515a1b515g1,a515a1a5a15b1b51,51d5c151d5,a515a1a5a15151a515,5b1b51a51d5a1,a15a1a515b15c15 O0 18 3 0b505b0a5050a505,050b50f5a050,5a0a5b05a0e50 I1 14 20 c515c1b51,k5a1,1a5151a51b515,a5a1a51b51b5,51i5a1,5a1a5151a5a151,1g5151a5,c5b1b51515,51i515,b51c5a15151,d5151e5,j5151,k515,51c51f5,5,,k515,b51c51a5151,51d51e5,5 O1...	555500005 505500555 550500005 055555505 000050050 555555055 550550050 500500050 505055550	{"train":[{"input":[[5,1,5,1,1,5,5,5,1,5,1,1,1,1,1,1,1,1],[5,5,1,5,1,1,5,5,1,1,5,1,1,1,5,5,5,1],[5,1,5,5,5,5,5,1,1,1,1,5,1,5,5,5,5,5],[5,5,1,5,1,1,5,5,1,1,5,1,5,1,5,5,1,5],[5,1,1,1,5,5,5,1,5,5,1,5,5,5,5,5,1,1],[1,1,5,1,1,5,5,1,5,1,1,1,5,1,1,1,1,5]],"output":[[0,5,5,5,0,5,0,0,0,5,5,0,5,0,5,5,0,5],[0,5,0,5,5,5,0,5,5,5,5,...	0	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=d
simonsolveversion1 predict pixels for 'O2T'	I0 14 29 82d82c828,82a82d82b8,c8a28a2c82,b8a2a82a82a82,b82e828a2,f82a82828,2d82b82b8,2e8b2a828,8a2h8a2,d82a82d8,b8a28a28b2a8,c82b8a28282,82a82h8,a8b282b8a282,6,c8282b8c2,c282a8a282a8,8a282a82c8a2,2d82a828a28,b82b8a2b8a2,a2828c282b8,82a82c8a28a2,2b8f2828,b2a8a28a2c8,b28a28e28,2d8a28a2b8,b2b828b2b8,a282a8282828a2,8282a8a...	5555 3355 5355 5555 5555 5535	{"train":[{"input":[[8,2,8,8,8,8,8,2,8,8,8,8,2,8],[8,2,8,8,2,8,8,8,8,8,2,8,8,8],[8,8,8,8,2,2,8,2,2,8,8,8,8,2],[8,8,8,2,2,8,8,2,8,8,2,8,8,2],[8,8,8,2,8,8,8,8,8,8,2,8,2,2],[8,8,8,8,8,8,8,2,8,8,2,8,2,8],[2,8,8,8,8,8,2,8,8,8,2,8,8,8],[2,8,8,8,8,8,8,2,2,2,8,8,2,8],[8,2,2,8,8,8,8,8,8,8,8,8,2,2],[8,8,8,8,8,2,8,8,2,8,8,8,8,8],...	0	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=medium image_height=other task_pixels=b
simonsolvev1, 'O3T', predict the pixels	I0 20 2 a70b70a70d70a707,0707a0b70a7070d7 O0 10 2 a85a8a58a5,5c85b85 I1 14 16 f7a07a0a7,j70a7,f7070c7,d70a70d7,e7a0a7b07,7a0d70a7a07,e7a07b0a7,07a070e707,7a0f70b7,d70c7a0a7,a7c0a7a0b70,g70d7,b70a7070d7,c70c7b0a7,7070e70b7,e70b70b7 O1 7 16 a58a5a8,c85a8,585c8,85b858,5a8c5,a858a58,58b585,58a5b8,8b5b8,b8b58,858c5,85d8,858...	85 58 85 88 88 58 55 55 58 88 88 88 58 85 58 55 85 55 58	{"train":[{"input":[[7,7,0,7,7,7,0,7,7,0,7,7,7,7,7,0,7,7,0,7],[0,7,0,7,0,0,7,7,7,0,7,7,0,7,0,7,7,7,7,7]],"output":[[8,8,5,8,8,5,5,8,5,5],[5,8,8,8,8,5,8,8,8,5]]},{"input":[[7,7,7,7,7,7,7,0,0,7,0,0,7,7],[7,7,7,7,7,7,7,7,7,7,7,0,7,7],[7,7,7,7,7,7,7,0,7,0,7,7,7,7],[7,7,7,7,7,0,7,7,0,7,7,7,7,7],[7,7,7,7,7,7,0,0,7,7,0,0,0,7]...	1	dataset=solve_bool group=xor predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=c
Simon-Solve-V1 predict pixels for O5T	I0 12 21 4,,d41e4,4,,,,,,,,,g41b4,4,,g45b4,4,,,,g45b4 O0 12 21 3,c3e5a3,,,,,,,,,,,,,,,,,,, I1 7 19 43d4,4,,,,,,e41,0e4,4,,,,,,,,, O1 7 19 5,,,,,,,,,,3,,,,,,,, I2 5 10 4,b494,4,,c41,4,,,, O2 5 10 a3b5,,,,,,3,,, I3 16 7 b4840i4,4,f49g4,4,m464,4,n45 O3 16 7 a3m5,,,,,, I4T 16 19 4,,,,,a41l4,l45a4,g41f4,4,,,,h41e4,4,,,,f48g...	33333333333333 33333333333333 55555555555555 55555555555555 55555555555555 55555555555555 55555555555555 55555555555555 55555555555555 55555555555555 55555555555555 55555555555555 55555555555555 55555555555555 33333333333333 33333333333333 33333333333333 33333333333333	{"train":[{"input":[[4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,1,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4...	1	dataset=solve_boundingbox group=boundingbox_of_lonely_pixels filled_outer predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=d
Simon-Solve-Version1 predict pixels for O4T	I0 19 8 8,,l80d8,8,b84n8,3q8,c80m8,8 O0 19 8 9,,m4d9,,,,,9 I1 12 21 8,,,,,,c80f8,8,,,,,a83h8,8,d84e8,8,,,,,j80 O1 12 21 9,,,,,,a9i4,,,,,,,,,,,,,, I2 6 10 8,,,81c8,a89b8,8,,,, O2 6 10 9,,,9a4b9,,9,,,, I3T 6 21 7d8,8,,,,,,,,,,,,,,,b80a8,8,,, O3T None I4T 14 22 8,g83d8,8,,,,i86b8,8,,,,9l8,k818,8,,,,,,,, O4T None	99999999999999 44444444444449 44444444444449 44444444444449 44444444444449 44444444444449 44444444444449 44444444444449 44444444444449 44444444444449 44444444444449 44444444444449 44444444444449 99999999999999 99999999999999 99999999999999 99999999999999 99999999999999 99999999999999 99999999999999 99999999999999 99999...	{"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],[8,8,8,8,8,8,8,8,8,8,8,8,8,0,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,4,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8],[3,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,0,8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8...	1	dataset=solve_boundingbox group=boundingbox_of_lonely_pixels filled predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=c
SIMONSOLVEV1, 'O3T', predict the raw pixels	I0 19 22 0,,,d05l0,0,,,,k02e0,c09m0,0,,,,,,,,p030,0,, O0 19 22 1,,b1o3,,,,,,,,,,,,,,,,,,1, I1 13 20 0,,f02d0,0,c02g0,0,,,,,,,g08c0,09j0,0,,,,, O1 13 20 1,i3b1,,,,,,,,,,,,,,1,,,, I2 12 17 0,,,c02f0,0,,,,,,,,,,d0a1d0,0,a08h0 O2 12 17 1,,1f3c1,,,,,,,,,,,,,, I3T 19 22 0,,,,,a02o0,0,,,,l07d0,0,,,,,,,,,, O3T None	1111111111111111111 1111111111111111111 1111111111111111111 1111111111111111111 1333333333333331111 1333333333333331111 1333333333333331111 1333333333333331111 1333333333333331111 1333333333333331111 1333333333333331111 1333333333333331111 1111111111111111111 1111111111111111111 1111111111111111111 1111111111111111111 ...	{"train":[{"input":[[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0...	0	dataset=solve_boundingbox group=boundingbox_of_lonely_pixels filled_outer predict=rawpixels earlier_prediction=none image_width=medium image_height=large task_pixels=d

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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.

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