Published March 16, 2020
| Version 1.0
Dataset
Open
Large Uniform Random SAT Samples
Authors/Creators
- 1. Universidad Nacional de Educacion a Distancia (UNED)
Description
Large Random SAT samples generated with the following samplers:
- BDDSampler
- Spur
- QuickSampler
- KUS
- Unigen2
- Smarch
Notes
This dataset has been funded by (i) the Spanish Ministry of Science and Innovation, under a grant with reference DPI2016-77677-P, and (ii) the Community of Madrid, under the research network CAM RoboCity2030 S2013/MIT-2748.
Files
10.sk_1_46.zip
Files
(4.8 GB)
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md5:1914d591ec0d92e301951e5dca3fbcb0
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3.6 MB | Preview Download |
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md5:491687af245e016e97c084890557dcf6
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3.9 MB | Preview Download |
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md5:7f63ed16c113695630a528c4bee24258
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3.1 MB | Preview Download |
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md5:314d52f67a33cd7ed16fa7b3c7d9b245
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4.7 MB | Preview Download |
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md5:56bb14f1039fb645c9595cb1280f8ef2
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4.1 MB | Preview Download |
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md5:12b501e9ea5b073513072cc553b036a1
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3.6 MB | Preview Download |
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md5:6ced88ccfee1d46d697f3b3c241d4257
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3.2 MB | Preview Download |
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md5:741a9eaf6d39f0c2d5b35c2ed41afede
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3.6 MB | Preview Download |
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md5:a1778095111b8c2f3256d453763dad90
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3.0 MB | Preview Download |
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md5:7c1769fcbe421c6ee2b78b64bd0cf603
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6.7 MB | Preview Download |
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md5:deedd536a21727c679f95c0927d025f6
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5.2 MB | Preview Download |
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md5:f4a726554d7fe3291cffed6fe0c93cc4
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5.7 MB | Preview Download |
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md5:17435f8dd45802c29e1ed3e271b179ef
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6.6 MB | Preview Download |
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md5:a24220df39e8dab19d01d52c33328749
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5.1 MB | Preview Download |
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md5:5e9c7b13fd82b2aa04bf56bd72b4b11a
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5.9 MB | Preview Download |
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md5:a2c8b4c584ff2c1c2721455bbd3408dd
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17.3 MB | Preview Download |
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md5:292c9b40f3fee5d1720b3fecd5802657
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7.6 MB | Preview Download |
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md5:e21cdac458e7288268b13069ec15dccf
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17.5 MB | Preview Download |
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md5:cedc369637ec5e4d2d55675364b9949f
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32.7 MB | Preview Download |
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md5:7f68d4dc4a2a7f6c39cc286444edc4fd
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9.0 MB | Preview Download |
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md5:880947efb0384baa1a7d7f226b8bad55
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12.0 MB | Preview Download |
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md5:a7541e171e03c68756721c138e809154
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7.6 MB | Preview Download |
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md5:76b6aeef785c8ccf951bfba6a1ef1a8b
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4.4 MB | Preview Download |
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md5:777df6451f43d549039c1ddb730c6810
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6.0 MB | Preview Download |
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md5:e1c5ea9d0d8d2428cd9d7468f1d3f599
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11.2 MB | Preview Download |
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md5:bcd406dc0dd1023eadeb45897568706d
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4.9 MB | Preview Download |
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md5:8e7c3f2648864a3fa7adb2e06440b9b3
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6.3 MB | Preview Download |
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md5:02df1f0c7bfdc88d554808b3d679c4d1
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12.3 MB | Preview Download |
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md5:53b7c774de1a0b9ab120a22fcfba45d6
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7.9 MB | Preview Download |
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md5:a61825f3669ab7bd016a362f1112ed23
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8.1 MB | Preview Download |
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md5:2022183f952e2b1b6083b61c96c0d621
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8.7 MB | Preview Download |
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md5:d23d3aa90ad416d90e1b39738149e37e
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9.1 MB | Preview Download |
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md5:c265545ca3137d045382eeab6cf86f21
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29.9 kB | Preview Download |
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md5:319486ee93a4afbaad14b8ff8f3d5524
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19.6 kB | Preview Download |
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md5:762c5761ecb17b85ecfab98031cb62b9
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21.5 kB | Preview Download |
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md5:5c0cbc450e4b12cfacde8d2d846766da
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33.6 kB | Preview Download |
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md5:b632a4640fe8f3e5e16a0aaa4062e104
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63.1 kB | Preview Download |
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md5:6199055f96510862aed87acdded649b5
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2.5 MB | Preview Download |
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md5:76832747bdec303205c9297029ed57d2
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2.4 MB | Preview Download |
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md5:92b4916338e11cf5a70d7716c8a1f6a9
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3.2 MB | Preview Download |