Abstraction and Reasoning Corpus
My attempt at:
https://github.com/fchollet/ARC
- Training tasks: 181 / 400 (45.2%)
- Implemented: 93
- Passing via generalization: 88
- Evaluation tasks: 64 / 400 (16%)

- 0ca9ddb6
- 3c9b0459
- 1caeab9d
- b60334d2
- 25ff71a9
- 3ac3eb23
- e76a88a6
- c0f76784
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- d13f3404
- feca6190
- 4938f0c2
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- eb281b96
- 91413438
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- 97999447
- 6d75e8bb
- 63613498
- 29c11459
- b6afb2da
- 963e52fc
- d364b489
- 1e0a9b12
- 7e0986d6
- 868de0fa
- 56dc2b01
- d6ad076f
- f8a8fe49
- 5168d44c
- b7249182
- b548a754
- jnohuorzh-easier
- ihiz27k2n
- jnohuorzh
- 0uduqqj6f
- 2wfys5w64
- 2wfys5w64-relative-right-side
- n1hczotml
- ifmyulnv8
- ifmyulnv8-shape
- ifmyulnv8-dynamic-shape
- referenceable-components
- 178fcbfb-easier
- middle
- surface-pixel-count
- 4938f0c2-easy
- 56dc2b01-easier-2
The following ARC training tasks started passing after some different task was implemented.
- ea32f347
- 5521c0d9
- 6c434453
- 6e82a1ae
- aabf363d
- b1948b0a
- d511f180
- 88a10436
- d037b0a7
- 4347f46a
- 56ff96f3
- 4be741c5
- 90c28cc7
- a87f7484
- e9afcf9a
- f8ff0b80
- 1cf80156
- 23b5c85d
- 445eab21
- 4258a5f9
- 913fb3ed
- a61ba2ce
- 810b9b61
- 27a28665
- 6e02f1e3
- b2862040
- de1cd16c
- 9172f3a0
- d4469b4b
- 9af7a82c
- 42a50994
- 6150a2bd
- 50cb2852
- b230c067
- bb43febb
- bdad9b1f
- 794b24be
- 85c4e7cd
- ba97ae07
- ff28f65a
- 67a3c6ac
- 68b16354
- a8c38be5
- 62c24649
- 67e8384a
- 6d0aefbc
- 6fa7a44f
- 7fe24cdd
- c9e6f938
- 88a62173
- 54d9e175
- 5bd6f4ac
- 4c4377d9
- 8d5021e8
- a416b8f3
- f25fbde4
- 9dfd6313
- 8efcae92
- aedd82e4
- 1b2d62fb
- 99b1bc43
- 3428a4f5
- 44d8ac46
- 6430c8c4
- ce4f8723
- f2829549
- dae9d2b5
- fafffa47
- ff805c23
- dc0a314f
- 0dfd9992
- 484b58aa
- c3f564a4
- d10ecb37
- 2dc579da
- b8cdaf2b
- 1190e5a7
- 3aa6fb7a
- 60b61512
- 3618c87e
- 8d510a79
- 9565186b
- af902bf9
- ba26e723
- dc1df850
- 3bdb4ada
- dc433765
- e50d258f
The following ARC evaluation tasks are passing. My intention is to not analyzed or implemented evaluation examples specifically, but I have implemented a few accidentally.
- 84f2aca1
- 66e6c45b
- f45f5ca7
- fc754716
- e21a174a
- 070dd51e
- 1a2e2828
- 64a7c07e
- ae58858e
- 37d3e8b2
- 4364c1c4
- 60c09cac
- 85b81ff1
- e41c6fd3
- 3194b014
- 7953d61e
- 833dafe3
- b1fc8b8e
- bc4146bd
- 00576224
- 59341089
- c48954c1
- 0c786b71
- ed98d772
- 3979b1a8
- be03b35f
- d4b1c2b1
- 0bb8deee
- 9110e3c5
- 9a4bb226
- ca8de6ea
- cd3c21df
- 00dbd492
- 34b99a2b
- 0c9aba6e
- 195ba7dc
- 31d5ba1a
- 506d28a5
- 5d2a5c43
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- 1d0a4b61
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- c663677b
- e95e3d8e
- 73ccf9c2
- d56f2372
- 903d1b4a
- 981571dc
- 42a15761
- e872b94a
- 2b01abd0
- 817e6c09
- 8ee62060
- 3ee1011a
- 7039b2d7
- da2b0fe3
- e5790162
- 27a77e38
