instruction stringlengths 23 70 | input stringlengths 5 854 | output stringlengths 1 867 | benchmark stringclasses 27
values |
|---|---|---|---|
Get column 3 as pixels, simons-arc-image | 19 10 914171b4a1b4a9a71,94927b4a141c7a41,9a2147d47a41a414,a8b47949b49414141,42c81a4b1b4a1a9,b4247b8b141a49a4,a494a27a4c81d4,a4a1a42b41a4b1494,491a49419e1a4a9,191c4a149a4a94a14 | 1214824144 | dataset=image_deserialize group=get_column_as_list image_width=medium image_height=small |
Get symbols from column 15, SIMONARCIMAGE | 28 24 a73b7a3a737a3737537a37a3b7,373c7307b3a735a7a37e3,3737a373037a373a5g3b7,c37370a73b7a5a7b37a3a737,37373a703a7375353a7a3a737a37,a73b70a7373535b7b3a737b3,7373730b3a57573a73737e3,3b7370a757a35b7373a7d37,37a370a753a73d7c3737b3,37373075a7a3a73a7a3b73d7,b7370537c3c73737d3a7,a73705b7a3b73a7a3737373b7,7a3703a7a3737a3a7g37a3,b70f3737a3c7a373b73,a37037a3737b37373b7c3a73,73707a37b3c7b37a3d7a3,730b37a3b7a373a7a37b37373,a707a37b373a737a37c373a73,a30373a7a37e3b7c3c7,70a37b3a73c737b3b7b373,303b7c37a37373737a3e7,037a373c73c737a3a737a373,073a7373c7f3b7a37b3,c73c73b7f3b737a37 | 335557377777733337337733 | dataset=image_deserialize group=get_column_as_list image_width=large image_height=large |
process SIMONARCRLEIMAGE and return the ccw rotated | 16 28 9079729879879828,a80929b892a9879,980c8a982d8,2980a287a287a892,b8092a829278727,82970a9a829a2982,782709a8a2b8982,282a807b82929a2,8787a80a829a89a8,b19280a2a8a2989,7481a9207a828928,924828a9b892a82,2874c8a92b892,89874b209a28292,a8a9248a2a9b282,9a2a874a29a827a9,a9a78784a90a8978,b9a8b249808278,a297a292a980a282,897a82a929420828,987a28b98940278,98928a2a72a940a8,a8287c8a9a8482,7282a897a89b849,a927289a2a925a98,8728987a829527a8,b29a89828529289,b28c279b29a8 | 28 16 89827b2898c29a82b829a898,27892a82a828a989a7827a849b8,c87e9a8a279a2820489729,a9b82828282a8a2a82a04a85292,798a72898a298a2a8a0249a825a2,8a2829829b8a2980a84e952,a9829a282b8g982989289,789a282a827890a2949297a82827,a897d82098b24a2a97872a82,9c8987a029828482b928a9792,298a2a90a89a824a7b282d82,72829a0a8292842b82828782982,a98a0a78791847987878a2827898,7a0a89a2818478927a9a7928c2,0a8982a871428982a929b8297a2,9892a87281792a8b928a98798a2 | dataset=image_deserialize group=rotate_ccw image_width=medium image_height=large |
Rotate clockwise Simon-ARC-RLE-Image | 3 12 6,252,152,156,013,043,041,204,206,606,a62,2 | 12 3 2a6a2b0a126,26b0a41b56,a2a641a36a26 | dataset=image_deserialize group=rotate_cw image_width=small image_height=medium |
cw rotate SIMONSARCRLEIMAGE | 8 12 c62b6,62460a60,604a7b6,a6460a76,65426262,654162a6,25921b6,65943126,a6536162,26536216,a639b62,626960a6 | 12 8 a62a62e6,2b6c56026,63a5a9d46,a9a3421267a6,c631a60702,062a16a27b6,a6162b67b6,6262b62a606 | dataset=image_deserialize group=rotate_cw image_width=small image_height=medium |
Rotate clockwise SimonsArcRleImage | 11 19 0e7a070,70d7a070,b7b0a7070,d70c70,0h70,a70d70a7,e70b70,d7070707,70b7c070,a70a7070b7,0c70b7a0,a70d7b0,a70a70d7,f70b7,e70a707,070a7070b7,a70a70b707,a0f707,a70b7d0 | 19 11 7070c70d70b70,70g70e707,07a0a7a070b70d7,o70a7,,a7a0a707c0b7a0a7,0b70d7070e7,0a7070b7b0d7a0,0e70a70a70a7b0,b070a7a0a70f7,0e7a070707d0 | dataset=image_deserialize group=rotate_cw image_width=medium image_height=medium |
Process Simons-ARC-Image and return the counter clock wise rotated | 10 22 3a5f7,37a575c7,5b7b5a73,7a5d737,5b7573737,a53b73757,757a5b757,a5a7545353,a75a740757,5b75405a7,35b743057,b76747075,7a37648a75,a757648757,3537567575,a575787453,73738743a7,a7a584a757,a3784b573,b58a575a3,a785353737,d75c7 | 22 10 a73c73b7a5753a7a3a7,b7a3c575a7575757a37,f7375a0a75437a5a7,a757a375a037a8a7475737,7a5c7f46874c5,a75757a575a7a657a84537,75c75c76b7535a857,a57573a75b7353a757587,5a757b5a75737a53735a7,a357a575753b735a735a7 | dataset=image_deserialize group=rotate_ccw image_width=small image_height=large |
Rotate ccw SimonsArcRleImage | 5 1 90856 | 1 5 6,5,8,0,9 | dataset=image_deserialize group=rotate_ccw image_width=small image_height=small |
rotate CCW SIMONARCIMAGE | 28 22 3a9a8389853b895b93a9398b3,3a893a8b939838a39c3938393,9a3939b35a39a353983a9e3,358f3a935c3a892835b3,a98353b835c39c32a3b938,8939393a8a383a938a32b3a8398,8538a9b3938a398a9328385a8a3,393b98a9539a3a9832a3b95a38,a898a389b383a983293938b9a3,9b35a3b98b9a3238a93939393,8a9389b38b3932a983d8983,3a8939a39398383239e38398,3939b389d32c3939a3a939,389839a3985a928353a9a3a98393,983939a39b328a935a38583a9a3,8a35389383a92593a9a398393b9,a8a393898a92a98b3a8a3a939a3,c38a393928398a983a9583a9a3,5b3939535a9a39a359d39838,9359a39c3a9a39a35a3b9b39,b938a3a9383a9a38b39839a393,9b3939b393b938a3839389a39 | 22 28 c3a838b389a39a38939,39b39b39893939c393,c39383939393c98b3,a8359a85a9a8989a3a9a39,9b3985a938a393a9a3a98,3938a389898a39839839a3,9392b39a3839358353989,93a92383a98b38939a393,b383a2a39a3a9a389b38,93a8b329a8a39a38395a3,b9b39323a9a359385b3,9c3898329a353939a3a8,5353938983a2a39a3939a3,98b3c9b328a9a89a39,8a3539a3b983285a9a3a9,a89e39b39a29a3b9,89393a898938393928a9a3,b395c3839353a929389,595b395398a38a3a95b3,89a3a839393c9a8b393,a9a3a83b9a38b3a95393,a8a38a3a8e3983a939,389a3b9a3a93a98e3,8b353a9358d3989389,8a9a39898a3a9895b39a3,983a8b3939839d3593,9835a95983989a838b393,a3939a83898b39a835b9 | dataset=image_deserialize group=rotate_ccw image_width=large image_height=large |
Process Simons-ARC-RLE-Image and return the clockwise rotated | 22 15 e71f71a71c7,g71l7,17a1n71a7,7b1q7,g71d71a71a717,7,171a71a71k71,7,d71d71h71,a7a3g71e71a7,a71j7a1d71,d71o7,7,l7a1c71a7,7 | 15 22 g71b71a7,j71b7,c713a71a7a1a7,d73d7a1a7,7,b71a7171e7,m71,7,g7171a717,7,,e71g7,d71h7,71l7,71a71d71b71,c71i7,7,i71b71,7,71b71e71a7,i71c7,c717171e7 | dataset=image_deserialize group=rotate_cw image_width=large image_height=medium |
rotate CCW SIMONARCIMAGE | 9 23 01c01a0,0101a0b1,c01a010,01f0,c021010,a0a20b10,a201d0,5b0d1,510a10101,151c010,05a0c10,151c0a1,1510a1010,050a1b01,a05a01b0,01501a010,105a01a01,105e0,a15a1b01,a051010a1,a17501b0,1a0510101,a0151a0a1 | 23 9 01d0a1a0101a010a10a1,0a10a1010c1a01b01a01,a1b010a101i010,c0a101a01010101a0a1a0,a0102a0a1010a101a01a0a1,01b02101c01c0a1b5,d02b010a10e5701,a101a0201d501a0101a0,e02a510a1b0b10a10 | dataset=image_deserialize group=rotate_ccw image_width=small image_height=large |
Get column 13 as pixels, Simon-ARC-RLE-Image | 23 4 c7g9j7,k7g9a37,i7e0f7,7 | 7907 | dataset=image_deserialize group=get_column_as_list image_width=large image_height=small |
Get column 1 as digits, SimonsRLEImage | 2 16 20,,,,,25,,,50,,,10,0,,, | 0000055500000000 | dataset=image_deserialize group=get_column_as_list image_width=small image_height=medium |
process SIMONARCRLEIMAGE and return the cw rotated | 1 29 5,3,5,,,,,,,,,,,,,,,,,,,0,,3,,6,5,6,5 | 29 1 5656a3a0r535 | dataset=image_deserialize group=rotate_cw image_width=small image_height=large |
rotate CCW SIMONARCRLEIMAGE | 28 29 f98c96a96c9a8989896,698c969696c986a968a9a696,b9a86a96d9896b8989698a9,98698c98986a8e9898c9,969869896a9686a8a9a8a6d96,a9b6b98a98c9a86b98a9b6,868a96b98a9b896898a968a9a6,969696c9a898c98a98a986a9,898f96a96a98696f96,96b98a96a98b989a8989a68686,98f9696a98c9a696a9898,898b9a8a98n969,986c98a689a696898969a8c9,86a9898696b9896c968a96a96,b98b98a9b6969b6896a9a696,6a96a9a8i9a896b9b8,a986e989a6a986a8c96b9,a868a98a9698a6b89a868a98b9,a6a96c96a98g98b6968,98b98b98a96896d96989869,6b9a8a96c98g9696b9,6b96a989a6c986a9898689869,8b969a8a986a9696898a698a969,8g9689898a9869698c96,96d96c96j96989,8a96a9696c96b9868696a9698,69a6c9a68b98d989898b6,a8d9689698g969868a9,8986f9696868c968a96a9 | 29 28 a6a9b69a68a9a68a98c96986a9,d9a6a9896b98a9a69a69896a9,868a9696968b968b9898b9a686,96d9898b9a6968696b969869,8968a98a96a98d9689a8c989,d986a9a698d969a69896898,c86a98d98a69a86986c9a6,86a96c9869a6b96c9a6968a9,a9898989696b9c8b9a8a98b9,a989869898a9896b8d9696b9,968a9a8968c9696d9a898b9,986a98698b98969a8b9a6d98,6b98c98a9a6b989698e96,a9b898b98b96a98c968a9898,b9869a86b968a9a69a8c96a96,6a96898d96969a686b986a989,96986898986b96a98c96d96,f986a9a89698c96a8a9869,9698a98b969a6b9a689696a96a9,a96968b96a96f96c9a689,86h9a86a8d9a896a969,c98e98989898c98a96b9,a96b9a698h9a8g9,a9a8a6f98c9698a6e9,a9898696e98a68f9a696,989696898a986b986g9698,b9869a6968986b9868c96a989,96c9898a9898969869a6a8986a8 | dataset=image_deserialize group=rotate_ccw image_width=large image_height=large |
Get digits from column 3, SimonsArcRleImage | 28 8 8b6a8a6861e8b481c861,81c818b6a1c481b686b86,86b81686a1a4b86a8a618168a6,6d8b1a6a81816a868686a816,686c1a81a6181b6861681a868,8a18a6c8b68686a81b8a1a68,1c86c81a8c6c81681b6,6c8a61b681a6b8a1816a8a68 | 68881888 | dataset=image_deserialize group=get_column_as_list image_width=large image_height=small |
SIMONARCRLEIMAGE, Get pixels from column 0 | 19 2 c08a0a8d3c08,80b6c3b808a08a0 | 08 | dataset=image_deserialize group=get_column_as_list image_width=medium image_height=small |
CCW rotate SIMONARCIMAGE | 22 2 a57575a757e31751a7,j0a3h4 | 2 22 74,,14,54,74,14,34,,,3,,30,70,50,70,,50,70,50,70,50, | dataset=image_deserialize group=rotate_ccw image_width=large image_height=small |
Rotate ccw SimonsRLEImage | 9 30 232323a23,23c23a2,e2a32,232d32,b3023a23,2a30329a3,2302b3a2,230302393,030302932,a2a082a30,a2a08b20,23a038303,3a0a38023,b0398239,2032082a3,20a2383a2,250328a32,250b28a2,352a02823,252323802,925a23832,205b28a2,235b28a2,a25b28a2,a25a23282,a25293280,293a29283,209a3a282,3a23a29a2,b323a232 | 30 9 3b2a3232a0a393b23e203b2,a2a32329a3202a323a203b2c823,2b329a393230a2a3f8c292,3a2a323c2e8a2a3b2a39b2,b232a3a0a8a3903a20e292323,3a23a02a3b0a3a23203f2a32,c2a3g032a0a2e53923,a32e3a23c0c5203b29023,c23b20b230c2329f2a3 | dataset=image_deserialize group=rotate_ccw image_width=small image_height=large |
rotate CCW Simons-ARC-Image | 7 4 3d14,5215b1,1065141,a103b1 | 4 7 4b1,a141,1,1a53,a160,1201,35a1 | dataset=image_deserialize group=rotate_ccw image_width=small image_height=small |
process Simon-ARC-RLE-Image and return the cw rotated | 20 12 851b58586157a56a151,c1681516871a5181a5,5158a5851570c516a5,a151d570c585615,1c285617b56b5165,a5a41d25218a51a85,1a56a4578a58a2a8a561,b515846a5c8a1c5,5851b5858a51f5,8a58b5a61c518b58,5b8156b1b515686a5,a581518a5a151a5b1a5 | 12 20 a58a515a1518,5858b52b15,a8c542a5a1,1a8a16421815,51b5412a565,1b58428a585,86a5452a5818,51686726c5,516a58215a18,b18a52a75a6,1b58b50781,c5a82a5075,1a51821b517,51a58286c5,a51518e5,168518a58516,18c51a5181,16c581a6a1,d56861b5,a58a51d51 | dataset=image_deserialize group=rotate_cw image_width=medium image_height=medium |
SIMONSARCIMAGE, Get digits from column 9 | 22 25 a52454525a2a52e5a4,2a52a5a254292454254b5,b5a454a524545952924a9,52942a52a9b2a542b524,425254b2a5a2a525954a5,2a4959b2425259d254,945254259424c5952a45,a29425i3a525a4,942545a249a25a9542c5,5a4259529592c5459a54,5959a4a2a454a54a25b24,2595a94954a5b425a2945,a4a545429b5495242a454,a252a42954b2a4a542b5,594952a54a5254b2524a2,2452a9424254245c4524,a5492425b2b54252c5,59a45452c52954242454,54a542a42b5b454a2545,45494a52b5924545a4245,5a245a4a52a52b4a545a9,a4a245a4a25b45a242525,54a2b52b592545a2a545,25a45a45a252a4252a5a24,a2a4a54254524549424b5 | 2429544395445452255522524 | dataset=image_deserialize group=get_column_as_list image_width=large image_height=large |
Rotate clock-wise SimonsArcRleImage | 10 26 1317a32b7,3d732a3,137a37b32,2c3b713,732a3d7,7b3a73b7,2a37a3a732,1727573712,a32750c3,a373570373,a2a3530a73,1a72351023,a3a725a372,37a372c3,3a13237137,b7373a723,a313a7b32,a727a37a31,a373172737,a3a73a73a2,17a327a313,137a2a3173,172a317373,3731717b3,b31213727,b72171a32 | 26 10 7a3b1a3737b312a312a72131,73a737a373717372a37d373,7a3273a721713a737a2a323a71,2a1323737c372a3b7c3a7,1273a2313a72723c537b373,7b13b737a32a537073d73,13a7a37273a7a31a0a373a7a32,37a31a37a371a307a3d7327,323a712b32a372a7313a71a37,27c327123732c3a2a73237 | dataset=image_deserialize group=rotate_cw image_width=small image_height=large |
Rotate clockwise SIMONARCRLEIMAGE | 20 28 1b505128515a28a2a52,5a250a281521525d2,81520121a51d21825,28a208a2818a5a252158,5852021258a1815a8b5,51a50a2a8128a2825a82,85a25028181a2858a152,58a1505b2515a2821a2,b2580a852a52825a852,121a50b251805851a52,5b2805a82a35018c5,285a208a231852315852,85a8502a3a1253501a25,51a58035218535850815,2b5a3a215838a58a712,5153205b2532b71251,5a3a205a183a78515a25,312a150283758525b15,1415210251a521c5a2,524a520525182a525282,252a480815a181252a51,2152540258a282812a58,a252a54151b2525a2a8,1a2i525b282,b258251a2a8a58182a5,2a58a285a1518252a125,2a52b1858582821a521,b5a2b125a2585b218 | 28 20 5b21b2513a5258251258a52851,b5b215241315158b2851a8125,b5a2a524123b58521212a52525,a28a5a24a5123a58a2a5125b2a5,2128b54521a23852858a5e0,a1a2a548215a03g0a28125,a18a54d0a523285285a21b21,185151285a21a25328282a8a2182,2512b5125812123282521858518,5812518a513825a1325a28181b5,2a585a2a15735a8a131a51218121,28185a218a57a352838512815215,528a52a8a287283b5025a285252,a825252151587a5320582821c2,52585282a5257585318a2585a258,212125152a51785018a5a8285b2,2518c2a5151701a518215821a2,251b2a5251a27828a58a1851825,1a25a8a582125a12c5258a5a25,81a52a81a2a512a525d2585a2 | dataset=image_deserialize group=rotate_cw image_width=medium image_height=large |
Rotate clock-wise SIMONSARCIMAGE | 28 16 a0207b07a07a0278208e020,2080787d0a8b028a20a2a027,a08020870c5870a8020a2b870,a020d5020a870707a27c020,a07082a080a808070b280808727,2a080a8a087028b2c08082080,07b08a08a07a2a080802727a0a2,207272b8b2a72a780708a0b78,78207a8b2a8d08a08b08a07,a8a28a28027a0808080a7a07a080,720a2a080a2d07a0702787872,a702087802e07b072a07820,087078a08a07028a0a2a827a0720,72a07a0287b02020872a82c07,02a08028a0a272027c07a080a7,8b02a0a8082808d08020a270 | 16 28 8070a787202b020,0a2872a807e0,b07a0a27a072a82,c0b20208d0,28a7028a7a0852a7,b0a80282a825080,02a0702a80805870,a820b828b057a0,80a8b02a8085a07,a070d208a05a0,82b0278207825a0,a207b0827080507,87e07a208580,0b2a08072d80,8a08c02020a702,0a2b0807027b07,07a0a7a078207808,a082a0b8a0208a2,a072d08027080,a0280a707a0c28,80a8707802082020,078b2a0878072a0,202707b02080a20,d087a078a0820,28a0a708702808a0,2a07a8a07a0708a0,a70a2780728a27a2,0a7a02078207a070 | dataset=image_deserialize group=rotate_cw image_width=large image_height=medium |
ccw rotate SimonsArcRleImage | 21 16 i8081081d8,a808a0c8080801d8,a181c80g80b8,j80a8080b80,0b8a0e8a0a80b80,a8080c80i80,a80e801a80f8,d8a0e80c80a8,0a80d81f80b8,8a0818080d8080c8,b1h8080c808,a081b80c81b81c8,18a0c80f80b80,8a08b0a8181h8,81a8a080d801a0c8,0b8a010f810c8 | 16 21 b8b0e80b8,i80d8,f80g8,a80d80f8,b8a0c808108a0,a1k801,8080d8a0b818,0b808a0e808,10a80d801c8,b80h81a8,a0c81h8,d8a081c81a8,a80e80a80b8,j80a8a0,f8080b8081,80a80a80d8b0,80a8a0b81b8b0,a81d80a810b8,80b8a0a8018a0a8,a81e80108018,a8180b808101a80 | dataset=image_deserialize group=rotate_ccw image_width=large image_height=medium |
simons-arc-image, Get pixels from column 9 | 17 23 5494a9014b94a945,a5b4a916949a5950,94509501965a94095,4595a051096a9a495,45a954515056595a9,590a9a41c965495,95059591a9a5960a9,9b59a51054b9b0,b905914a950594a9,9404591a095c945,49b5415b95959a0,a9a5941095b9a4a9,90a95919a5a954909,c59510a95a94a94,90a5a9190595a9a59,c95410595045a90,95d95c905495,c959a04b90a9a4,0b905950549595a9,9054a9490b95c9,505a05945a4095959,a5a959509a5a04a59,4595b95905b9b5 | 99690995999559599959450 | dataset=image_deserialize group=get_column_as_list image_width=medium image_height=large |
SimonsRLEImage, Get pixels from column 18 | 20 24 96c9696j9,b96i96b969,b96a96a96967f9,c96f976b91a9,k97b961a9,969a6b96b976a91b9,e96c96d76a9,9696b9e79696b9,b91b7d97b96b9,9691c96b97b96b9,b9196a96969769c69,c91f976e9,a96919a69b2a79b696,c91f97a9a6a96,a6961f9796a96a9,a96a916c9a7c96a9,6a9a61d9a76a96a96,d91a969797d969,c9616b9797c96a9,a96b91a67a97e96,d961697a97a96c9,a96a96b7b97f9,a96969697j9,a9a6b9696b96d96 | 969999999969999996999999 | dataset=image_deserialize group=get_column_as_list image_width=medium image_height=large |
Simon-ARC-RLE-Image, Get symbols from column 5 | 7 18 7,,b79b7,b795a7,,a79a757,,a79b75,a79b79,79b797,,79a79a7,c79a7,,b797a4,b794a7,7, | 777775577997774777 | dataset=image_deserialize group=get_column_as_list image_width=small image_height=medium |
SIMONSARCIMAGE, Get column 3 as symbols | 17 18 b76a767b6876b7,6a767676a7b8c7,7a68787a6c78a78,a678678a7a68d7,c78b6b7676b7,a6a786256b76a767,6d762a6b78a68,a876a7625a6787867,a878a7a627678c7,a7a876b726c786,678786a7652676b7,78a7a8a7657268b7,a76a7b8a65626767,76a7a678a65a72a78,768a6b7a85672687,6876b767685a7268,a6876a767875a7827,b76a86b76876a72 | 668877768877776676 | dataset=image_deserialize group=get_column_as_list image_width=medium image_height=medium |
ccw rotate Simons-ARC-RLE-Image | 28 16 f85a7e878587a57a858,7f87b57c857b857b87,a5757a5a879d5e85a87a8,7a8785b87a8a94b5b87a5c8,5b858a7d84176a958785a878,5a878585a8584a78761b98a5a85,75b87b85847d8a6a1c985,5a85a7a8784787b5a87a6b18a6,h8a7587c85a82c618,a7c8b78a5a8a787b26757a87,7a8785a8a57a87c26a87a878a5,a8575a85b7b265d87b8787,d8a78b287c858c58a787,5878c257i8a57b858,58a2a85a8787a5e8575a8578,85b8575758a575g878758 | 16 28 87b8a56875a7b8,5b87a86185a8575,a87b8986a8a7857,d85916a787b8,a78b59165d87,c5a89167a85758,5a8a791626a7a578,7c891682a8b58,c8596782a85b8,57a89168526d8,858596b87285b8,7a856785a82d8,a8a57a858725c8,a85417858726b85,a859478a7872a857,8759847c8278a5,8a5b847a582a875,859a858475a72b8,75a7a85878572a75,a7d8787572587,5b875b87858285,a8587c87a87257,a8a585a7a8587285,a8785a87b8582a8,a8578785a8a7a828,a87g858728,a85b85a87d85,8757a5758a7a8a58 | dataset=image_deserialize group=rotate_ccw image_width=large image_height=medium |
CCW rotate SIMONSARCRLEIMAGE | 18 15 69a85a8a968a6a9b6,686865a86b81686a8,89686868986196a898,a896869a6915b8b9,58698686851a9b898,b6986a8918986c8,a8a65b919c8a686,86a8b61a9a86a8986,5a9686918989b8b6,a586951c8586c8,a8686156d8a6a86,c89a868b95b8a6,89a8a6a58689a68689,95686898986a9b8a6,96a89a89b868b968 | 15 18 6a89a8b68a6968,68b9b86a868a6,a689a8696b8689,9d86b86b89,9a6a86b8a68689,61989a86b85698,6815a9a8958b96,a86a1e89868,6a8951b9a896a8,96968919d898,9a8a689a18a6589,a869a8969158598,858b69a65186a8,5a6b8568969a69,b86a968a6d8,8a69b68986a868,989a868695a8956,a6a856a8a5b8a9 | dataset=image_deserialize group=rotate_ccw image_width=medium image_height=medium |
Rotate cw SimonsRLEImage | 23 9 60706c7c07a67b6767,5h260b60c6b7,65d67a6i2067,65d60e60b607606,a75f60f670b6,0a65d67b606067676a0,0a6567a0b606a7c67670,060a67670a67606b0d6,a606767a606760d67060 | 9 23 6b07a656,c67a520,a0a65a627,a6a5b620,7e626,6a7c627,760c627,670a60727,60d627,0a67b620,c606260,a70b62a0,e6260,a070a6267,a67a602a6,6060a6206,60c6267,6067a62a6,c6702a6,76a7072a6,0d60a7,a67060676,06a0a6b7 | dataset=image_deserialize group=rotate_cw image_width=large image_height=small |
Rotate clockwise Simon-ARC-RLE-Image | 1 22 1,,3,,,,,,,,,1,,,,7,1,7,9,,7, | 22 1 a7a9717c1h3a1 | dataset=image_deserialize group=rotate_cw image_width=small image_height=large |
process SIMONSARCRLEIMAGE and return the cw rotated | 25 23 32323a2323b232c3a2b32,3723b2a3a2c3232a32a3a2,a273a2b323a23a2b32c32,2a37c232a3232a3b2a3232,a323723b2323b23a232a3a2,32a3272a3d2c3a2a3b2,a2a327a2b3b2323a2e3,2b3a273a2c32a3232a3b2,a3b2a37c23d2b3a2a3,b3a23a27e2d3a2a32,c32a3b8a2d3b23a2a3,2a3c8a3a23a2b3b2b3a2,298a232323c232d323a2,a3a92b3a23232a323a2c32,a23292e32a32b3b2b3,23232a92b3b232a32a323a2,3c2a39a232a323a2a323b2,2c3232a9b3e2a3c2,b232a32321a2a3a232e3,32b3a23a212d32a3c23,3b2a3b2321323a2a32a32a3,323b2a3b21a2b32c3232,323a23c2321a3b2a323a23 | 23 25 c3a23a23a2b3a2a3a2a3,d2323239d3a2a3272,a32323a2398b32b323723,b2b32329283a2c37a32,a2a323a29a28e27b23,323232392a38b32a7d2,23a2b39a3283237a2323a2,2323a292c3827323a2b3,c2392a3a2387a2a32b32,a23a292a32328b23d23,3a2a1d3d2a32b3a2,2a1a23a23a23b23b23232,12a32a3a23a232a3a23a232,3a2a32323b23a23b2c3,d3a2e3b2a3b232,2323a23a232b3232323a23,2323b2a32c32g3,a2323a2c3a23b23a2323,c3a232323a2b3c2b3,a32d3a23a2a32323a232,2a32a3232c32c32a3a2,b32323a2323b2g3,c23a2d323a23232b3,2a323b2a3a2b323a2a323,32b3b23b232323e2 | dataset=image_deserialize group=rotate_cw image_width=large image_height=large |
Rotate counterclockwise simons-arc-image | 15 26 a0b570a70a5a05,750b7e5707,5757a5a050b705,a50a5a7b575a75,a50b7b57a5057,7070570a5a70a57,03507c50a7b5,535a7a575b7b5,03a5a7c5a7a50,5307c57c507,7357a5a75b7a50,53a07b570570a5,53b5c7507575,535757a507b5a7,530b75070a5070,a5357c50c50,a53a575a05b705,573a05757575705,a5357a5057a0707,a0350a50a57a5a7,75357a507a57b5,7537b5a75075a7,a530a7b570c5,5730a570a57c5,a53575b7070b5,5d7b5b75a7 | 26 15 57a5a7a5070a57a0a5a757b57,b07d50a5b75b0757b57,0b70e50a505b7f5,a57a50b75b7b57505a7a507,a5a75c75750b5a7075a0b7,0505a707a57057a0a57b57507,7g575a707507a5a7a575,750c57a575750505b075075,050750c5757c57d5a75,a75b7a57b5b757d57a57,57a575b7a57a5a750707575a7,5a757a075a705a7a50b57a057,505a07b5050a50i37,057a50h3a5750b5757,07b5705057g50a7c5 | dataset=image_deserialize group=rotate_ccw image_width=medium image_height=large |
SIMONSARCIMAGE, Get column 21 as pixels | 27 14 c626262q6,h69a62a62b62b62b6,i692f62f6,a62g6a9j62a6,l69e62b62a6,2f62d69d62c626,b262i6962b62d6,i62d6a9b62d6,a68e62a62d69a6a2c6,b68e62g696a2c6,b68b62k691a2b6,c6k2c16a92a62,6a2b62n6292a6,c62r69a6 | 66666622221966 | dataset=image_deserialize group=get_column_as_list image_width=large image_height=medium |
Process SIMONSARCIMAGE and return the counter clock wise rotated | 9 25 6,,,,,,d64b6,b6a14b6,c64c6,,c6a4b6,,b6464b6,,b64649a6,b6a459a6,,b6a49b6,,b6462b6,b64692a6,a65469626,a654969a6,c6a9b6,c69c6 | 25 9 6,t62b6,m6b9b6269a6,e6a4a6d4a5a92a9696,f61c4b6c4b6b9,f61c6j4a6,t6a5a6,6, | dataset=image_deserialize group=rotate_ccw image_width=small image_height=large |
Rotate clockwise SIMONARCRLEIMAGE | 24 24 a38d38c382a3283c8,a2832a38b3b8a3030a3823,8238b3a8b32a38a328b38,030a8a3838a0a38a32a8b32,c82080a3808380c80830,a38a323808a32a8283823a83,3830a2832a3a80a32328a383,3a838282363a8c38b0328,b38a3806c3a83a8a32a03,8308a08360a38023b023238,280a8236a838a32830893838,83080863c8383a83198323,b3a836a8303083a8129a8a2,b30862383823a8a1809a803,a8236a80386a801b8398083,b836d80a61203a839838,208638303a831678038292a8,836a803a283138a67a809382,a86a8b38a1383a86a729a30,8c5a83130302832a6a7b0,8b38a51a8303a80b368b3,238a2a8208a0b38a3838308,30b30283a28203a8382a8a3,a83a0328b38232b8238a32 | 24 24 832c82a8a3828c380823,80a35830a8b38a3a8383a23,a3835a6a82a3b0383a803a8,03235a86a30d8303b8a3,03285a83a6a8080382328323,3085830b8638203b20c3,a2858b3a82a63c838c3,a821a320803836302380b83,a308182383c8a6320a3838,32a831c8a3a80363838b3,3203013806808e380b3,a8a0a3136823a8a3a83a0383,a2a308316830a383a8283283,3038238610b8308308b3a8,2a3b867218a3a28a3b8a32,b803868081b8c32038a3,a8a32670381a830832a8a303,8b36783b813a0a8a382a32,2a8367b8302180302b8208,323672023d923082b8a3,c87c9c8a320a30b38,38a30a3280a83820a3a8a3a8,a30303a8380a2a302a8b328,2383a02a8a323a838a302838 | dataset=image_deserialize group=rotate_cw image_width=large image_height=large |
Simons-ARC-Image, Get digits from column 2 | 30 27 a5959595639a5a9a5a93a5a95a39a5,a96a96393593a9b5a9a59595c39,a953a5b953a5b9d59593593a9,b9a595a9a5b9a595a9d5956a5,9a5b95c93a5959593b9d5a9,395d963a53a9a5e9396a9a5,a9593a953965c9b59a5935b959,c5a9b5a95359595659b53569a5,a9b5b95c95a9a3g96b9,359d539639a5956a93a9b5b95,95a9535a63b595c96a939a5b95,9659595a9b59a5693b9b595a959,a9353b565b95b9695695f9,9a59a5a95b9a59a5a95a95a965a39,c9a5a93a5a93a59695a93b936a3,5a9a59a596595b9535a96a5a93595,b93d95e9365b95b95b9,3595b9b5a95359a35939a5395959,65c95a95b96a5939595a95395a9,9d5a9595693c5a9a53a595959,596b95a95959535a963d95b95,9a595g95b9a5h939,a9b5a93953d935935c93c9,53a5d95a9395c96a595969535,b936d9595b9b596a9a53c9,a9c5a95a956b95a9b5a95d9,5a9a35b9396a9a56a5b959e5 | 965955555995359999956555959 | dataset=image_deserialize group=get_column_as_list image_width=large image_height=large |
Get pixels from column 8, simons-arc-image | 10 3 a5624b3a7,76a4b2b8,a4b38c6 | 786 | dataset=image_deserialize group=get_column_as_list image_width=small image_height=small |
Rotate clockwise Simon-ARC-RLE-Image | 21 1 9a39a39b7j3 | 1 21 9,3,,9,3,,9,7,,,3,,,,,,,,,, | dataset=image_deserialize group=rotate_cw image_width=large image_height=small |
rotate CW SIMONSARCIMAGE | 26 22 7a56715757b57575a71b7b8,51a5c7b571571b7c8a51,a51a561515d7c87e5,5a75e71c85a7567a5176,d751c857b51757565651,5a762a8a6a5a7a51a515d75,b572a756a5a717a5b7a15a15,751215b71a57651715b1c5,7572a571576c7d57b1a7,a5125e47b5a757a5a1a51,152705a16a5d401756b561,15270a5a7b575a0a51a7b575,5270a151657a5075a757a57b5,72071b57b50c7157561a57,5057c575a07a57515757c5,205751b50175a7b5b7a1715,0157657a5b71a575151b5751,571a5a1a5b717b51b51a7a5,b5a751515a7a17517515a1a75,571b56a75175a71a5a1c5a1,515751575a7b575b75157b5,7a5757c57e5756b7b5 | 22 26 7c502575a15a7a57b57,517571a0a2e5b7515,a5151b507a21715b71a5,a7575c70a7b2767b56,b5756a5a1a0a51a2a75a7,71a5151a51a54a57857671,a56a17d514b7817175,5a7e517141756875a7,a571b5a7676457a6871a5,57a5a70d5471a587a57,a71b71057a546b5817a5,a5d70b54a75a758a75,b5b15705745d78715,a571757570545761a58757,5b7a575a7045757a58a75,a51a575a750475151a5817,5751c5a750757a517875,a757a15a1751a5175a78a7,571b57b51a7a571a58a7,65a151d7b517576781,71c57b57657a1757587,7a5a15176b5c176a587,a751751517a5a1a57b587,b5c7e5151761a58,a517a51b5765751757a58,a51a51a57a5a17b516518 | dataset=image_deserialize group=rotate_cw image_width=large image_height=large |
simons-arc-image, Get digits from column 7 | 13 1 b4c5e1 | 1 | dataset=image_deserialize group=get_column_as_list image_width=medium image_height=small |
Rotate CounterClockwise Simons-ARC-RLE-Image | 3 16 595,,,095,094,593,,759,,,739,,,759,5,a50 | 16 3 c54a3f950,f9b5b3b5,b5a0a5f7a5 | dataset=image_deserialize group=rotate_ccw image_width=small image_height=medium |
Rotate clockwise Simons-ARC-Image | 7 2 3c5a4,3a530a5 | 2 7 3,5,,35,05,54, | dataset=image_deserialize group=rotate_cw image_width=small image_height=small |
Rotate cw SIMONSARCRLEIMAGE | 14 12 7,h70c7,g70d7,e7a90d7,d7970e7,e720e7,e702e7,e707b2b7,c7c272c7,7b270c72b7,b7a8h7,7 | 12 14 7,a72h7,,782h7,7872g7,a702b79c7,b72a0279b7,b7272a09b7,c72b7a0a7,b7a2d707,a7272f7,7,, | dataset=image_deserialize group=rotate_cw image_width=medium image_height=medium |
SIMONSARCIMAGE, Get digits from column 8 | 9 19 301d30,036130a30,b365c3,380653030,35850c3,363560b3,35656a0a3,a35a63b0,3053a6a30,0a50362a0,095a3a023,069d32,609a30b3,6359d3,b3930b3,30359c3,b35093a0,0a3539a03,0c309a3 | 0030333000323333033 | dataset=image_deserialize group=get_column_as_list image_width=small image_height=medium |
rotate CCW Simon-ARC-RLE-Image | 11 27 2,,,h242,,,,g24a2,,,,2,,,,,,,,,,,,,,, | 27 11 2,b2c4s2,f2c4o2,2,,,,,,, | dataset=image_deserialize group=rotate_ccw image_width=medium image_height=large |
cw rotate SimonsRLEImage | 6 7 9,,,b91a9,,9,a98b9 | 7 6 9,,8e9,a9a1b9,9, | dataset=image_deserialize group=rotate_cw image_width=small image_height=small |
Rotate Clockwise SimonsRLEImage | 8 19 38a3a898,9a83a838,d83a8,8a3a81a3,9c3198,3c8183,93c818,3a838313,398a3813,a393a813,a83b818,a3a898a1,3e81,b89a831,3c8381,8a3a8381,a83a83a8,8a9b8a3,3a783838 | 19 8 3b838a38b3939a893,7983b83839838a3b8,79a3c839c8a3a83,d89b8b3a83a8a3,3e89a83b83c8,a8b3e838b13a8,a3b838e1893839,838d18b38383b8 | dataset=image_deserialize group=rotate_cw image_width=small image_height=medium |
CCW rotate Simons-ARC-Image | 10 5 2793783238,26916a73a9,3a7d923,3b9238a23,3a2a37c3 | 5 10 89b3,39a23,23923,37983,87937,76923,31a93,a9792,76792,a2b3 | dataset=image_deserialize group=rotate_ccw image_width=small image_height=small |
Rotate clockwise Simon-ARC-RLE-Image | 22 14 6a95695a609590c90560,0596a06a50b959a65a909,90906b9596b909a05b6,5056090d9a0506a90a6,909060596b9b60696950,0a69606906059690a9a0a5,90d969059a59a6096a0,0b90a90a6509096a90969,a6a96569095695a60a9696,0a6069050950a960906060,0a5a96a0a90690c95659,96c90659c69090a690,59065a9096a09b0595906,b60959a0b60a96596069 | 14 22 659a0609095906,6965a6906b059,60956b9695b9,06a90c906065,95a9a609a60606,5a9695a9a0a909,a9b06a9650965,a0605906c956,0959a069069a56,a6c9606b9a0,6060c50a96a9,60a606095c95,096c95960b9,90609505a60950,90a9a6b9650a9,6a090b6b0969,a5b90969a6069,a9090a90b9059,65656909069590,09a60696090695,60956960a5a606,9609069050a690 | dataset=image_deserialize group=rotate_cw image_width=large image_height=medium |
Rotate counter-clock-wise SIMONSARCRLEIMAGE | 22 23 j02d0a62a0,a0a26202b0a6b02a0a20,a0b2a126a062a02a0a202,6206010c1a0a2c02a0,06a0612c0a1a02e0,26a01b2c02c020b2,2a0a320c60b26e0,a012d062626a2a02020,b0a10202a026a02b0620,026a01a02c0a62a056a0,b2a02g026a52602,e0206b02a05b6a06,2b0a20202026050206202,0a2h0a520a62a02,0a2c0a2025a02a02b02,2c0a2a02520a26026a02,a02a0b2a5d0a202060,b060a25b06d02c0,60b2050a20a2a02a02b0,2b0c2a0c20a2b0a2,b0a2a0b2a0c6060b2,a02a0a20a606c2b02a0,202a020a2c0b2d02 | 23 22 a02a02c026c2b0a202,02b020a2f06a0a2a0,c202a0b602f0a20,602c02052a6206202c0,6c02c05606a202a06a0,02g05626a02a02b0,a020206b265b0620a26a2,b02a0a206205b2c06a2,b02a02606b0502b026a2,06201b26a0265c0a2620,2a601a062b0205206a2060,b01a062e025b02b0,b01a0a6c02a025020260,a061a060a206a0205020262,0a21026d02020250a202,a010a2a02a02b0b252020,02b1a2a01202a0b2020a2,062061301b02d0b2a0,0a26a0321g06202a0,0a2c01062a0a20202a0a2,b02a6b0a2a0a2g0,b060a2b0202a02a062a02 | dataset=image_deserialize group=rotate_ccw image_width=large image_height=large |
rotate CCW SIMONARCIMAGE | 29 3 59w8b5,a59y5,c9x5 | 3 29 5,,,8a5,,,,,,,,,,,,,,,,,,,,,,859,8a9,959,a59 | dataset=image_deserialize group=rotate_ccw image_width=large image_height=small |
SIMONARCRLEIMAGE, Get column 12 as pixels | 28 23 3b1c39a73731a3173179a3737,31379713a71a31a3a731739a7a37,7c3b7a397a313191a71a37973,731a371a73a93a9b37a37b3137,c39797137a939a3b717319139,a3a79a79a71a37b37313a9a73a1,7c35173a73a7a1b7b37a3a93,a7a3951a73131c397373a73731,a7915c737a379737973737a317,9397597a37a3979a37b39137373,737a3a71a37b37979131397a319,317a91a713a797b3793a19a7379,71379a31a31a739c37979a3797,7a13a7371a37971e3a797b3,7971a371a39b31d31a391713,793a9739c317d373a139b3,a7c379737a3a737a37b1a7937,913b7a3973939373a7a37a37937,a1a73179a31937h3713a7,979a37971b3a937193793139a79,1793a731a31713793a731c3a73,9a3a1371797179a39a3a9391a373,a17a17937371373731b379a7913 | 73339371393979313339173 | dataset=image_deserialize group=get_column_as_list image_width=large image_height=large |
Rotate CounterClockwise Simons-ARC-RLE-Image | 20 19 03c80802b0a832828,83a82b080808c0b8,c83b802c8d08,a0238h0b8083,b8a08308028080a8a08,a80b8238a3a808a2b8,0b83238083b802b83,a830b82a3c808a0a8,08a0380a83083b80b8,a82a838a3e8a3808,0e8383a80a8a32a8,0a83b0a3032b8b020,b803832837280a80202,02a83a080837e830,23828320a82a3d828,a0a8382c8383780238,a83a802a82c8383a83,28082b83c808380a8,3b80a83a803803280a8 | 19 20 b83a83c8020a83a8,28080c80820323b8,a8b0a80a8202a828a0,2a0a828a0a3a0a803a8,3a0a8a2a8a30d832,8a0808a0f87383,808080e80a838a0,0a8a0b8380b83c8,a080f8a27a3a83,0a802a380a83732b80,202a038a38303b82a8,08a0a803838380b838,808a03828b3280b83,a08032380a8030b2a8,8080a82a838080380a8,823808383a80a383820,b830a8a0a83082c8,b82808302e8308,a380h8230b8,0a80a80808a08020823 | dataset=image_deserialize group=rotate_ccw image_width=medium image_height=medium |
Rotate counter-clock-wise SimonsArcRleImage | 5 29 6,,0c6,60b6,,6,164a6,01476,,06467,064a6,204a6,,,,,,243a6,,640a6,,,,,643a6,,64b6,, | 29 5 h67r6,f6a7s6,e6j4a3d0a3b6,b6a0a6a1a6e0k4,a60b61c0g2i6 | dataset=image_deserialize group=rotate_ccw image_width=small image_height=large |
Simons-ARC-RLE-Image, Get symbols from column 3 | 4 8 45a4,4a54,,4b5,4515,4514,51a5,4b5 | 44455455 | dataset=image_deserialize group=get_column_as_list image_width=small image_height=small |
rotate CW SIMONSARCIMAGE | 14 4 8020a1b02a0a8,b01a0e7a0,b0e812028,0b8g408 | 4 14 b08,8b0,8a02,a810,4801,,4870,,,4172,4270,4070,0208,a808 | dataset=image_deserialize group=rotate_cw image_width=medium image_height=small |
SimonsArcRleImage, Get column 9 as pixels | 11 15 363131c36,36a3a6361a3,a316a313636,b6b3d6,b361a31364,3a63c6a84,a6b3638a34,a3631a8b64,163a83a6364,368a36a3146,3a1a71a3646,6c3a76346,36a3a63a741,616c3c7,6a36b7b36 | 333668366444473 | dataset=image_deserialize group=get_column_as_list image_width=medium image_height=medium |
Get symbols from column 3, SIMONARCIMAGE | 5 1 a18a9 | 9 | dataset=image_deserialize group=get_column_as_list image_width=small image_height=small |
Rotate ccw SimonsArcRleImage | 22 16 b8c2a82a8a2b8a24a8,b284a828282i8,84a82g82c842a8,b824c82j82,8a2a8284a2d824a8282,b8a2b848a2d848428,d82i8282b8,82c82a82a84a82c828,2h82h8a2,c8282c828b2828282,8b282c82b84c8a28,f8284a82a82e8,a2a82a84828424b82a828,d8b28a2c82a82b8,a84a84a82828284d828,8482a82c84a2b842b8 | 16 22 b8a2b8a2e8,d828a28282828,482824b8a2d8,284b82e8282,2c84b82a82a84,c8482h8,c82a82828282a8,h824b848,282e82a84a82,2e84b8a28a2,82b82b82a84a84,d82a8282a8a28,a28a2a82b84a2a8,c824g828,82a84e8242a8,2e8282b8282,2b8282b82a8248,242482b82a82b8,2a8282c82c82,82a82d82b848,82482a82a8282a84,82e82b82b8 | dataset=image_deserialize group=rotate_ccw image_width=large image_height=medium |
rotate CW SIMONARCIMAGE | 15 24 a40b4014a0b40,b40b414a0c4,b40b401b0b4,404040a41a40b4,g41040a40,b4a0b401c40,h41d4,04a0d41a4040,404a0a40a4140a4,b0404a0a41b40,e4b0410404,040c40b414a0,4b0f41a40,4a040d4010a4,a40a4b04b01a4,40a4b0b4041a0,b40d40a4140,f40b40414,04a0a4040b4014,a40c40c40a4,404a04040a40b4,0i4a0a4,a40f40b40,b40f40a40 | 24 15 a40a40e404040f4,b40c404a0a4a0c40b4,40a4a0b4c04040e40,0a404040b40b4a0404b04,b40c4040b4a0a40d4,g4a0i40b4,b4040a4a0b4a0g40,c4040a40a4c0d40a1,b4040f40c40b1a4,f4040e4b104b0,40e4b0a4b1d4b0,04a0a40a40b10d4b0a4,a404a04b10c4a0f4,d4a140b4a0i4,a0d4a0a4a040404a0b40 | dataset=image_deserialize group=rotate_cw image_width=medium image_height=large |
Get symbols from column 21, SimonsArcRleImage | 24 5 g9a7m9,k30g4b9,a9a17b9a4a0c4a9d49,c9a1a4a0m9,e9a0o9 | 99499 | dataset=image_deserialize group=get_column_as_list image_width=large image_height=small |
SimonsRLEImage, Get column 0 as symbols | 4 6 1590,4549,15a9,a142,0312,b04 | 141100 | dataset=image_deserialize group=get_column_as_list image_width=small image_height=small |
rotate CCW simons-arc-image | 3 19 424,2,432,,,,439,432,,427,4a2,a42,,429,4a7,247,424,9a7,a27 | 19 3 4d29a27b29a74a7,a2f3a2a4274272,42l42492 | dataset=image_deserialize group=rotate_ccw image_width=small image_height=medium |
CW rotate Simon-ARC-RLE-Image | 22 18 s626,q6a296,p62a696,n6a2b696,m62e69,k6a2f69,j62h69,h6a2i69,g68k69,e6a8m6,c6a8o6,b686a9n6,6a8c69m6,a3e6a9k6,a6b3p6,d6a3n6,f6a3l6,6 | 18 22 c63l6,c638k6,b6368k6,b63a68j6,b63b68i6,a63b698i6,a63b6968h6,63b69a68h6,63a69c68g6,c69d62f6,i62f6,j62e6,k62d6,,l62c6,m62b6,,n62a6,o626,,m6b92,h6d9c6 | dataset=image_deserialize group=rotate_cw image_width=large image_height=medium |
rotate CW Simons-ARC-Image | 30 25 41c41b41j41e41,45d45f45b45a41d414,15a41e4141b45b45417a41a4,1a41a41c41j417b415,a41c45b4141f4a147b414,e41e41b41e471c4,1d4141b4a1a41d4545741a4,a4a1a41a4145a4b1c451a4714a5,d415k41a41a4751a4,e41b4141a4141c41547a4a1,a4c141e415c451b474145,5c41b45a4a541a41e471b4,a4541b41a41b4c1415c475a4,a41414b1h4a1a414147416,141b41a41c41e45c47a46,a41d4a1a41a41a41f47a46,41b41541c45f41c41a46,1c4541c4a15c4541b415a16,45d454145g41c414146,e4a1d41b45a41e4156,51f41b41b45f45a416,a41a4b1b4145a41j416,c41h4141d41d416,1a41b451e45h4a14a1,a454a14141b4a1d41c45b41 | 25 30 41a45a41a41a45c41a4a1a4,c414541l4a51,5a41d4b1541a41a41c4,41k41a41b41b4,141g4a141f41a4,1a41b451c4a141g4,b4141a454a1b415b141a41,15414151b41a41d45a454,41e4a14a1d41e4,1b4141a4a1a45b41f4,n41g41,b41a45d41c45a4b1a4,f4141b4541a41e4,1a45a1415c45c4b141a4,141c45a41b41a41f4,45f41a4a15141d454,a4a1g41c4a1e4,c4a5e41a41b41a45a4,h414b1j4,f45b41c41e454,1c4a1d4145i4,f4a1454541a45a4145a4,a41g41b4b1541a4a1,n45d4a1a4,j41e45c7a4,51a454a1d4e71d4,41d451c71a451f4,d4b1c45414141b41a4,4c1541b41b4145a4a1414,a1i6a45145b45a41 | dataset=image_deserialize group=rotate_cw image_width=large image_height=large |
Rotate ccw Simons-ARC-Image | 15 22 64a747a4a74b74,74646a74b74b7,a7e5a4b747,7474a7b4a74647,747a4i7,4747a4c74a747,b7b4a74e7,7b4647a4b74a7,a4a7c4b747a4,e7474a746a7,476c74a7474a7,b4a7676b4a747,a7a4c7a4a7a46,474b7a47a47a47,7474747474a7b4,a7c4a7474c7,467b4a7a474747,74a7a464a767467,a7a47a4a74a7b4,a4b747a47b476,f74a7a4747,67a4b74674b74 | 22 15 4f74b7674b74674,a7a474a74a7c47464747,b76b747647b4a7b4a7,7474c7a4e74a7a47,4c74c7a47474767b4,a74g7c47474b7,a7a4a7a4747a4a7a4a7476,a454b7a47467a4a747b4,4754c7a4b74b764b7,a75a7c4a76a7e4a7,4657b464e7b4c7,745a47a4c747b474a74,765a7474a76b474a74a74,a47a4a7a4a74a7476474a7,6c74a747a474a74a7476 | dataset=image_deserialize group=rotate_ccw image_width=medium image_height=large |
CW rotate Simons-ARC-Image | 13 6 32a3b94323a2,b9a39a23a943,934a92e93,3429293929393,9292343293294,39a3a932934a3 | 6 13 393a93,924392,392493,32a9a3,932939,9492a9,b3929,a2a924,a929a3,a3b92,423a93,3b942,34b32 | dataset=image_deserialize group=rotate_cw image_width=medium image_height=small |
Process SIMONARCRLEIMAGE and return the counter clock wise rotated | 23 21 b7c8a7878c7c8b7,c7a878b78b78e78,c7a878c7b8c78b7,a8e787b8a78a78c7,c7a8a78g787a878,78a78f78b78a7b87,a8d78e78787a8787,78a78a7c87878b78c7,78b7878g7a8a7a87,a78a78b78a7c8a7878a7,8g78a78c78a4b7,a78e78e7a474a87,l7b4a8a7437,c78a78a78a48d7a3a8,87b8d79b7a878374a7,78c7a8a798b78a38a748,78e789c7a37878747,78c7a879b73a7878a748,b7878a79a7a3d787874,b78b78973k1,7c8c78g7878a7 | 21 23 78a78g787878417,d7a878a78387b4717,c7a8a7a878434b7818,8787b8b7a473a78a717,8a78a7a8784b7387a818,8b78b7878487838a717,8c7a878a748a7378717,7878d78a747a83a717,a78b7a878a747873a717,a78e78a748b73717,a7a878787a8a74c7317,a878h7478a7317,b78b78d78a9b737,8e787b8c7a9a78,b7a8a78g787a97,7a8b7b8c787878787,8m7878b7,b878b7a8g78a7,b87a878d7a8d78,8l78b7b8,h7878a78d78,b787c8e7b8a78,b78a78b78b78e7 | dataset=image_deserialize group=rotate_ccw image_width=large image_height=large |
Rotate ccw SIMONARCRLEIMAGE | 6 16 c454,4856a4,43a584,35b84,45a8a4,4a98a4,484a94,84a849,a46b4,548684,848546,4848a5,4,45a484,65a686,a6a464 | 16 6 f49a465a464,54a8a49a48454a86,465b8984658a464,4a5a89486a8b464,483a598c484a56,b43b48458b4a6 | dataset=image_deserialize group=rotate_ccw image_width=small image_height=medium |
Get column 0 as symbols, SimonsArcRleImage | 1 6 2,,,,, | 222222 | dataset=image_deserialize group=get_column_as_list image_width=small image_height=small |
Simon-ARC-RLE-Image, Get column 1 as digits | 21 14 b3a2e3a2d3232,o70c3,b2e3a832a3032b3,b3h13202d3,b34b28c3f1a7,b342a8a2a303a2a3a7a3,b348c3203a23a72a32,b34a3a23032b7a32b3,a234c302a73b23a2a3,323432a0a7e3b2a3,323430a7d32f3,b340a2a32h3a2,2a34h32e32,d32d323232b323 | 37233333222333 | dataset=image_deserialize group=get_column_as_list image_width=large image_height=medium |
SimonsRLEImage, Get column 16 as pixels | 29 5 e29a0a26421a2a1c21a2912,d2a021a64d6b1c2a9212,9d52a61241a29a2b12a1b2a1,9a0d212f1e2121b2,a9d21g2f1a29b2 | 26211 | dataset=image_deserialize group=get_column_as_list image_width=large image_height=small |
SimonsArcRleImage, Get symbols from column 7 | 15 20 i5353a5,k5353,5,b53e53c5,h53c53,f53a53c5,l535,c53c5353b5,53g53c5,d53a50a53b5,a53c5350d5,3h50c5,i50c5,j50b5,c53e530a5,k5303,b53h505,e5a3e50,5,d53h5 | 55555355553555555355 | dataset=image_deserialize group=get_column_as_list image_width=medium image_height=medium |
Rotate clockwise SIMONARCIMAGE | 11 28 a6a2a6d2,26b26b262,f26a26,b2a6b2b6,2f6a26,a6b26a2a92,b6a2b9692,a2b9b2696,b5d29a6,b26c2926,e262962,6f2926,a2a6b29626,d2629b2,a62a6269a62,6e292a6,b26a292626,2a62a69b26,a62626927a2,6b2a6967a2,62a6a2972a6,26b2927a26,a626297a262,b26297c6,a26a29d2,2a6297d6,6a269a26262,b6292a6a26 | 28 11 a6b262b6a2a6a26a252a6c26,626a2a6a2a6a26d252b6a2a6,62a6b26a26c26b259626c2,26a2a62626262626a2629a2a6b2,b9d2626a26e29a2a6a26,a27c92b6b26e29a6a2a6,6262a72d926b26b2926c2,b6262a76b2c9d292626a2,a2626b2a7262626c9a6926b2,2a62a626c2a6b2626b926262,626262a6a2b6a2a62b6a2b6a2 | dataset=image_deserialize group=rotate_cw image_width=medium image_height=large |
cw rotate simons-arc-image | 26 4 6a8685b6a5358386586b8585,a5b8586583c858536a8a985,386a8a5a8658j98a5,6m7b9c58358 | 4 26 6356,7858,76a8,7a86,7b8,7b5,7586,78a6,7856,7685,7535,7a83,7985,79a8,7983,a958,a986,a9a5,5938,59a6,59a8,,8a98,3895,a5a8,8b5 | dataset=image_deserialize group=rotate_cw image_width=large image_height=small |
Rotate clock-wise SIMONARCRLEIMAGE | 27 15 45h4e8i4,454g8e41h4,45n413g4,45n4143f4,,45o4143e4,a45n41a43d4,a45n41b43c4,a45r43c4,a45s43b4,a45w4,,4,, | 15 27 4,h4e5,b4e5e4,l484,,,,,,,,m48,,,,,,i4c14,f4b1a43a4,i4a3b4,h43d4,g43e4,e4a3f4,d43h4,4,, | dataset=image_deserialize group=rotate_cw image_width=large image_height=medium |
SIMONSARCIMAGE, Get digits from column 1 | 19 17 48b6c86b80a6a86,86b84a84c8086b8,684a68a6d80d8,b84a86e8084646,8a6b86b846801c8,6a84a86b8a6a80c8,6c86f840c8,646b86d8680a868,468686846b8680b86,a86a86a86864a804868,6j8640b86,84b86e8680c8,b0d86d801681,a83e0e80816,63c8b3d080818,36g8c3a0186,b868b6b84a8a3b8 | 86886884688408368 | dataset=image_deserialize group=get_column_as_list image_width=medium image_height=medium |
SimonsRLEImage, Get column 1 as symbols | 8 4 a36a3636,3a63a163,636a8a23,b1368a6 | 3631 | dataset=image_deserialize group=get_column_as_list image_width=small image_height=small |
Rotate Clockwise SIMONARCRLEIMAGE | 17 19 2302a073032320370,a037307020a370737,7a03702a0230703a0,07d07a37b0a72,70727b030707a030,3b02307270270b3,b37a032a7a020273,a07323f03a03,d0b320a727b0,030a3030373a0a707,7a3c0723b07b0,702c020a3207070,a0203a073c72730,a70270a72a03c07,d07a3a030a3702,3707b3a732a03702,a3b02a30273b032,20a7030373a70a3a0,07b0a303072b702 | 19 17 02a3070a7b0a370702,703707a0a3a03a07a03,07c0a23a07307a030,070702b03037020372,b03073a03020270730,a3237d0a303d0,30b37b0a303b02a7,0a373a7270302707a03,37070230232072a3020,0323a07a37a0a703203,b723073037b0a7a32,273a0372a07a02b0a3,7b0307b0202a70a72,730a302c73f0,730a707a07a02307373,a03b037c07a37037,20b27b070b302070 | dataset=image_deserialize group=rotate_cw image_width=medium image_height=medium |
Rotate ccw SIMONSARCRLEIMAGE | 7 11 6874a78,a6b748,6708784,c86a8,b8a7a8,a87b86,7a84867,7d87,b84847,47b868,8a76878 | 11 7 a84a86b7a8,74c868467,b767e8,47a87848486,a70a87c87,867e8a7,b6b8a7848 | dataset=image_deserialize group=rotate_ccw image_width=small image_height=medium |
Process SIMONSARCIMAGE and return the clockwise rotated | 17 2 3c1k5,7o3 | 2 17 73,31,,,,35,,,,,,,,,,, | dataset=image_deserialize group=rotate_cw image_width=medium image_height=small |
Rotate clock-wise Simons-ARC-Image | 27 30 72g72h72b72a7,k72b72e72b7,f72c72j72a7,d72r727,72e72q7,l7a2k7,c7272j72g7,k72m7,h72j7b02a7,c72n74b7a08,i72b727a274d782,2c72b72c72b742b728a7,e72j74c78727,m72a74b7a8c7,7a2d72d72742a78c727,n74b78f7,2l742a78g7,a72i74b78c72c7,f72b7274a78i7,a72e72a74a78a72a72d7,72d72b74a78d72e7,i747a8a2j7,e7a27478a72k7,f72478a72b72h7,a72d748m72a7,b72b748f72i7,c7274f72f72c7,n72j7,a2n7272f7,b72l72h7 | 30 27 72j72c72j7,72f72d72h72b72,d72c7272a72m7,2b72x7,b72o72a72e7,q72f72b7,b74b72h72d72e7,c747a27272n72a7,c78a4g72h72c7,d7874a72f72a72g7,e7874i72h72,f787472q7,g7874j72c7a27,e7278a7a4j72d7,b72b7a28b747a27a2c72d7,a72d7278a724n7,c72e78b74b72g727,a2c72d78a724a72i7,i72a78b7a4c72e7,72k78b724i7,h72d78c74g72,i72d78c70g7,b72g72b78c70g7,p782a70e727,d72k78702d7272,n7272780d72b7,r728h7 | dataset=image_deserialize group=rotate_cw image_width=large image_height=large |
ccw rotate SIMONARCRLEIMAGE | 3 22 a41,4,241,2a4,,,254,,,,251,254,325,,,,324,434,,,131,434 | 22 3 141f414c5c414,e4e5d2d3,a4i2d3b414 | dataset=image_deserialize group=rotate_ccw image_width=small image_height=large |
Process Simons-ARC-RLE-Image and return the clockwise rotated | 7 9 757b87,784a848,a978438,86a9438,7876a97,a753868,873a848,7837478,83a4874 | 9 7 878a789a7,38a786985,4a3579747,478369b8,84a89a4a8,a7469a348,4b87b87 | dataset=image_deserialize group=rotate_cw image_width=small image_height=small |
Get pixels from column 10, SIMONSARCIMAGE | 21 3 8a16k2a1a86,c186e28618a2a86,8g16a18f16 | 221 | dataset=image_deserialize group=get_column_as_list image_width=large image_height=small |
Rotate clockwise SimonsRLEImage | 28 11 c7a1e7a0a17a1h7,b71e71737a0f71a7a1,1a71d7a13b71b01e717,a71c71b73c71a7a07171b7,a7a1d713d717b1a01a717,a71a7171a73a7a171b7a17a0b7,a1g737a1d7b171c7,b1b71a737a1g7a1a7171,a71d713a1d7b171a717a1,7171a71a7b171f71c7a1,e71a7a1p7 | 11 28 b7a1b71a7,717a1e7,a7a17b1b7,71c717a17,i71,d71c71,a171f7,d7171b7,a71g7,a1a3a7171a7,b17b37a17,7b1b7a3a7,b7a1c730,71a7a1c70,d71b701,g7101,d7b10a7,a71d7071,a71b717071,a71717101a7,c7b10b7,7d10c7,b71a701b7,c7101a717,a71a7071b7,b71f7,7a1b717a17,7b1d717 | dataset=image_deserialize group=rotate_cw image_width=large image_height=medium |
Rotate cw SIMONSARCRLEIMAGE | 29 12 e0b3a7d37i373,73a9a3i0d3730d3,7b3b9h3b0b230d3,737c3a9c373c23730b3a73,737d37a9c2e303737373,a37c3c23a9b37a30a37c37,7a3c273a7b3b93730b373a73,3a2d3a7d373a90h3,d37d37c3730b9c37a3,e37h3730b3a9c37,f37c37c307b3a7a9b3,7i3b7h37d3 | 12 29 7c373c70,c32e30,c323b7390,d32c390,d32b3930,b3732b3930,a37a32b3903,37b37239303,c373279303,c3a729a307,d3729a307,7a37b32a303,a7c392a303,7d3927303,d3932a303,c379a32303,a3a739a32037,30a3937320a3,37a097a320a3,b390c32a3,b393a0372a3,b39b303273,379d30b3,a79b3a73a03,39b37e3,39d37c3,b3737a37b3,d373a7a37,a37b37d3 | dataset=image_deserialize group=rotate_cw image_width=large image_height=medium |
Process Simons-ARC-RLE-Image and return the counter clock wise rotated | 22 13 h4a5j4,i48a5h4,j484a3f4,h4c3h4,e4b3b48b43d4,a4c3f48a3e4,a3i4a38f4,i4a34348e4,k4a6g4,4,,, | 13 22 4,,,,,c43g4,d4348d4,a43a438e4,a43a48a36c4,454384346c4,4583b43d4,5843b43d4,5a43h4,c43g4,,,d43f4,,,,e43e4, | dataset=image_deserialize group=rotate_ccw image_width=large image_height=medium |
Rotate counterclockwise SIMONARCRLEIMAGE | 10 7 3b080a360,03a08b064,e03680,a0b304638,e04043,d0a3030,a0303c03 | 7 10 0408303,a683430,30a6b0,303a430,d030,a803a03,b03b0,b03a03,03d0,3e0 | dataset=image_deserialize group=rotate_ccw image_width=small image_height=small |
process SimonsArcRleImage and return the cw rotated | 2 27 67,7,02,62,72,24,,,,4,,,64,,84,,,80,,,87,86,80,87,,80,76 | 27 2 7k8a6b4c276076,60a7067b0k4b2a7 | dataset=image_deserialize group=rotate_cw image_width=small image_height=large |
Rotate clockwise SIMONARCIMAGE | 15 17 2,b28a26g2,f286d26,d28a1f2,f2682828a2,26a28b262a8b2,d25a26e2,d25b26d2,8b285a2a626b2,26b25c26a2a6,a26a25c26c2,28a265a26a26b2,b2825d26282,d2a4a261c2,c26a2a421b28,f2621d2,8a26h262 | 17 15 8f28g2,d2826b26d2,e26i2,6b28i282,a26a26a28a28d2,b24f5a28b2,b24h21262,264h2618a2,a24a26a262a6826a2,2126c2a6f2,a2a1a2a6b2a8c2,c2a6a26a28d2,k28c2,6b28a26h2,a28c26e26a2 | dataset=image_deserialize group=rotate_cw image_width=medium image_height=medium |
Get column 5 as pixels, Simon-ARC-RLE-Image | 20 4 a93f7i9,a93m91a9,a98d9j19,98q9 | 7999 | dataset=image_deserialize group=get_column_as_list image_width=medium image_height=small |
Get column 9 as symbols, SIMONARCRLEIMAGE | 23 2 c0g9h8a0,q03c0 | 90 | dataset=image_deserialize group=get_column_as_list image_width=large image_height=small |
Get symbols from column 13, simons-arc-image | 23 6 f0b4l0,d084o0,c08q0,a0a8m0c20,08g0g2d0,e3c2l0 | 000020 | dataset=image_deserialize group=get_column_as_list image_width=large image_height=small |
CCW rotate Simon-ARC-RLE-Image | 25 11 535c35e31e3c2,j353i2a3,a35a3g2a3c2e3,d2e39b2a35f3,a35d3c2a35a3535a35a3,k4l3,g39c3535h3,c35n35c3,d35d35l3,c35h35i3,d35r3 | 11 25 2i3,,a2a35e3,a2h3,32d35b3,32a35e3,3a2g3,3a2a5e3,3a2g3,3a2b35c3,12325c353,3232a35c3,a3a2f3,352924a35a3,a32324d3,,a323249c3,532a34d3,a32a34d3,a32a34a3535,b323435353,b3234d3,535254d3,b3234d3,5a3234d3 | dataset=image_deserialize group=rotate_ccw image_width=large image_height=medium |
Rotate cw simons-arc-image | 21 6 3k9g0,03r0,,a03q0,,b03p0 | 6 21 d03,b0a39,0a3a09,3c09,d09,,,,,,,,,0,,,,,,, | dataset=image_deserialize group=rotate_cw image_width=large image_height=small |
End of preview. Expand in Data Studio
Version 1
Have dataset items that are somewhat evenly of each type. The LLM learned some of the types fine. However rotated images are causing problems. The image sizes are between 1 and 10 pixels.
Version 2
Here the majority of dataset items are rotated images. Since this is what my LLM is struggling with. Smaller images. Here the image sizes are between 1 and 5 pixels. This helped a lot on the validation loss.
Version 3
Main focus is now on count_same_color_as_center_with_8neighbors_nowrap and image size 1-6.
Which the LLM has struggeld with in the past, maybe due to too big image sizes.
Struggles somewhat with the count_same_color_as_center_with_8neighbors_nowrap.
Version 4
I'm trying smaller images again. Here the image sizes are between 1 and 5 pixels.
Added same_color_inside_3x3_area_nowrap that checks if all surrounding pixels agree on the same color,
maybe that have some synergy with the count_same_color_as_center_with_8neighbors_nowrap.
It helped a little, but it's still not as good at counting neighbors as I would like.
Version 5
I have added a pixels_with_k_matching_neighbors with a k parameter between 1-8.
This may help improve on counting the number of neighboring pixels.
The image size 1-6.
This did indeed help on counting the number of surrounding pixels.
Version 6
Same weight to all the transformations. Image size 1-11.
Version 7
Focus on histogram and k-nearest neighbors. image size 1-12. It seems like the LLM has gotten the hang of it.
Version 8
Focus on histogram and k-nearest neighbors. image size 5-20.
Version 9
Focus on histogram and k-nearest neighbors. image size 10-30.
Version 10
Same weight to all the transformations. image width 10-30. image height 2-5.
Version 11
Same weight to all the transformations. image width 2-5. image height 10-30.
Version 12
Focus on k-nearest neighbors. image width 2-5. image height 10-30.
Version 13
Focus on compres_x, compres_y, compres_xy.
image size is 1-10.
Version 14
Focus on histograms and k-nearest-neighbors. image size 5-20.
Version 15
Focus on histograms and k-nearest-neighbors. image size 10-30.
Version 16
Focus on k-nearest-neighbors. image size 10-25.
Version 17
Disabled k-nearest-neighbors, I suspect this is the reason why it converges so slowly. image size 15-30.
Version 18
Disabled k-nearest-neighbors, and compression. image size 15-25.
Version 19
Translate x/y by plus/minus 1. Disabled rotation and transpose. image size 22-30.
Version 20
Focus on k-nearest-neighbors. image size 5-15.
Version 21
Focus on k-nearest-neighbors. image size 8-18.
Version 22
Same weight to all the transformations. image size 8-20.
Version 23
Same weight to all the transformations. image size 5-30.
The LLM is struggling learning this. I'm going to try with small images.
Version 24
Focus on rotate cw, rotate ccw, transpose. image size 2-10.
The LLM is struggling learning this. Despite being small images. I'm going to try with even small images.
Version 25
Focus on rotate cw, rotate ccw, transpose. image size 2-5.
The LLM is struggling learning this. Despite being small images. I'm going to try with even small images.
Version 26
Focus on rotate cw, rotate ccw, transpose, k-nearest-neighbors. image size 1-3.
The LLM is struggling learning this. Despite being small images.
Version 27
Focus on rotate cw, rotate ccw, transpose. image size 1-4.
The LLM is struggling learning this. Despite being small images.
Version 28
Focus on rotate cw, rotate ccw, transpose. image size 1-5.
Version 29
Focus on rotate cw, rotate ccw, transpose. image size 1-6.
Version 30
Focus on rotate cw, rotate ccw, transpose. image size 1-8.
Version 31
Focus on rotate cw, rotate ccw, transpose. image size 1-10.
Version 32
Focus on rotate cw, rotate ccw, transpose. image size 1-12.
Version 33
Focus on rotate cw, rotate ccw, transpose.
image size 1-14.
The serialize items were using fewer names to identify the dataset, now uses the same names as deserialize.
Version 34
Focus only on rotate cw. All other operations have been disabled.
image size 1-30.
Version 35
Focus only on rotate ccw. All other operations have been disabled.
image size 1-30.
Version 36
Focus only on rotate cw and rotate ccw. All other operations have been disabled.
image size 1-30.
Version 37
Focus only on rotate cw and rotate ccw. All other operations have been disabled.
image size 1-30.
Using the same image and apply both rotate cw and rotate ccw.
My hypothesis is that it will learn better to distinguish between the two rotation types.
Version 38
Argh, the validation loss was seriously bad on this one.
I guess what happened is that rotate cw always was followed by rotate ccw, causing the model to be biased, always expecting the opposite transformation.
Now I have suffled the entire dataset. So there are still 50% of each operation, in random order.
Using the same image and apply both rotate cw and rotate ccw.
I still think my hypothesis is sound, that it will learn better to distinguish between the two rotation types when it's the same image.
Focus only on rotate cw and rotate ccw. All other operations have been disabled.
image size 1-30.
Version 39
The validation loss is not improving.
I'm going back to small image sizes.
Focus only on rotate cw and rotate ccw. All other operations have been disabled.
image size 1-10.
This helped on the validation loss. Yay.
Version 40
Focus only on rotate cw and rotate ccw. All other operations have been disabled.
image size 1-13.
Version 41
Focus only on rotate cw and rotate ccw. All other operations have been disabled.
image size 1-16.
Version 42
Focus only on rotate cw and rotate ccw. All other operations have been disabled.
image size 1-19.
Jumping to image size 19 was a bit too optimistic, causing a terrible validation loss. So I have to go with a lower image size.
Version 43
Focus only on rotate cw and rotate ccw. All other operations have been disabled.
image size 1-17.
Version 44
Focus only on rotate cw and rotate ccw. All other operations have been disabled.
image size 1-18.
Version 45
Focus only on rotate cw and rotate ccw. All other operations have been disabled.
image size 1-19.
Version 46
Focus only on rotate cw and rotate ccw. All other operations have been disabled.
image size 1-20.
This is something that the LLM struggles with. I'm going to make a dataset with another random seed, with the same size 1-20, to see if it improves or worsens.
Version 47
Focus only on rotate cw and rotate ccw. All other operations have been disabled.
image size 1-20. Same size as in previous version.
Version 48
Focus only on rotate cw and rotate ccw. All other operations have been disabled.
image size 1-21.
This is something that the LLM struggles with. I'm going to make a dataset with another random seed, with the same size 1-21, to see if it improves or worsens.
Version 49
Focus only on rotate cw and rotate ccw. All other operations have been disabled.
image size 1-21. Same size as in previous version.
This is something that the LLM struggles with. Not improving.
Version 50
Focus only on get_row_as_list and get_column_as_list. All other operations have been disabled.
The get_column_as_list is related to rotating the image.
image size 1-21.
This was first time the LLM tried this, so terrible validation loss. I'm going to try smaller images.
Version 51
Focus only on get_row_as_list and get_column_as_list. All other operations have been disabled.
The get_column_as_list is related to rotating the image.
image size 1-5.
Excellent validation loss.
Version 52
Focus only on get_row_as_list and get_column_as_list and rotate cw and rotate ccw. All other operations have been disabled.
image size 1-10.
No problems for the LLM to learn that. I'm not going to train it to the end.
Version 53
Focus only on get_row_as_list and get_column_as_list and rotate cw and rotate ccw. All other operations have been disabled.
image size 1-15.
Version 54
Focus only on get_row_as_list and get_column_as_list and rotate cw and rotate ccw. All other operations have been disabled.
image size 1-20.
Version 55
Focus only on rotate cw and rotate ccw and get_column_as_list. All other operations have been disabled.
The get_column_as_list is related to rotating the image.
image size 1-22.
Version 56
Focus only on rotate cw and rotate ccw and get_column_as_list. All other operations have been disabled.
The get_column_as_list is related to rotating the image.
image size 1-23.
This is something that the LLM struggles with. Not improving.
Version 57
Focus only on rotate cw and rotate ccw and get_column_as_list. All other operations have been disabled.
The get_column_as_list is related to rotating the image.
image size 1-24.
This is something that the LLM struggles with. Not improving.
Version 58
Focus only on rotate cw and rotate ccw and get_column_as_list. All other operations have been disabled.
The get_column_as_list is related to rotating the image.
image size 1-30.
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