pt unknown | __key__ stringlengths 12 34 | __url__ stringclasses 2
values |
|---|---|---|
"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" | ./matbench_mp_gap/mb-mp-gap-011483 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA3OTU0MS9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQBj0ldwf0QFHQBFURjERxdBHwAYJ5FpdGLVlXXENKEdAGPSV3B/RAUfAEVRGMRHF0EfABgnkWl0YtWVdcQ4oR7+bDczHQ3X2RwAAAAAAAAAAR8AkeXVLBbfQZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAICjLfsg4IVgBAAAAYnESR0AgKMt+yDghWAEAAABjcRNHQCR5ecLyLXtYBQAAAGFscGhhcRRHQFGL6zU3Tl1YBAAAAGJldGFxFUdAUYvrNTdOXVgFAAAAZ2FtbWFxFkdAUDZqjXKboVgGAAAAdm9sdW1lcRdHQIFQNL7HqLZ1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABDc3EhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP2Vk/C4OWzhHP+/qmwPR8aVHAAAAAAAAAABlaBh9cSVYBgAAAG1hZ21vbXEmRwAAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAAQ3NxKFgDAAAAeHl6cSldcSooR0AY9JXcH9ECR8ARPRo1GXhyR8AGCeRaXRi1ZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/2NPMxkHDREc/45YZnN8eXkc/4AAAAAAAAGVoGH1xL2gmRwAAAAAAAAAAc2gnWAIAAABDc3EwaCldcTEoR0AY5w71vC9GR7/vEvfGouGwR8Affmd4NEQqZXV9cTIoaB1dcTN9cTQoaCBYAgAAAE1vcTVoIksBdWFoI11xNihHP9LDgzeCeEBHP9OEDSAkDNBHP8wenucLZ2dlaBh9cTdoJkc/aJN0vGp++nNoJ1gCAAAATW9xOGgpXXE5KEdADc5eN6h6PUe/qhEU+1qD4EfADyxibo6mZmV1fXE6KGgdXXE7fXE8KGggaDVoIksBdWFoI11xPShHP+Y9+W/t+ZhHP+aePmQ+w+BHP+j4WEY9JiZlaBh9cT5oJkc/aJN0vGp++nNoJ1gCAAAATW9xP2gpXXFAKEdAIXN3Z9IQt0e/qhEU+1qEAEfAJ7NO3JCakGV1fXFBKGgdXXFCfXFDKGggWAEAAABOcURoIksBdWFoI11xRShHP+3Hr/ep8ClHP9QSybv2OtpHP9ID22xM2k5laBh9cUZoJkcAAAAAAAAAAHNoJ2hEaCldcUcoR0AfBYbTiDiJR0AFYi1ypdpeR8AZPNBjKQLaZXV9cUgoaB1dcUl9cUooaCBoRGgiSwF1YWgjXXFLKEc/5fabIgTik0c/scKAQrB+uEc/5v4SSdmS2WVoGH1xTGgmRwAAAAAAAAAAc2gnaERoKV1xTShHQBLIlxfwJgNHQAViLXKl2l1HwCLf/0afwr5ldX1xTihoHV1xT31xUChoIGhEaCJLAXVhaCNdcVEoRz/LD2WOJEWFRz/Be7+peLTIRz/hXevDh/+TZWgYfXFSaCZHAAAAAAAAAABzaCdoRGgpXXFTKEdAAUELR3ay5Uc/1L6i2nbMhkfAGg7qHlflR2V1fXFUKGgdXXFVfXFWKGggaERoIksBdWFoI11xVyhHP+uhEBWh0s5HP+k8Jpx27p9HP91EKHjwANllaBh9cVhoJkcAAAAAAAAAAHNoJ2hEaCldcVkoR0Aklswj3oKNRz/UvqLadsyAR8AidvJpCFGHZXV9cVooaB1dcVt9cVwoaCBoRGgiSwF1YWgjXXFdKEc/y5zCbfks0kc/3o5f9N03KEc/7YfjvwGzCWVoGH1xXmgmRwAAAAAAAAAAc2gnaERoKV1xXyhHQBEzWo0XnSZHv/IkOB58nAhHwCa2s9lz0JlldX1xYChoHV1xYX1xYihoIGhEaCJLAXVhaCNdcWMoRz/guNAFkWRsRz/pGM9kgbTLRz+zwOIH8me8ZWgYfXFkaCZHAAAAAAAAAABzaCdoRGgpXXFlKEdAIE1hrzBgs0e/8iQ4HnycBkfAEY9nPYDnI2V1fXFmKGgdXXFnfXFoKGggWAEAAABPcWloIksBdWFoI11xaihHP+AdmakI+ExHP8XvpT7pSdtHP8Ceq2bLkQ5laBh9cWtoJke/UGJN0vGp/HNoJ2hpaCldcWwoR0AQ1LalviW0Rz/3B5XBbd4+R8AJgndeFXQoZXV9cW0oaB1dcW59cW8oaCBoaWgiSwF1YWgjXXFwKEc/6oQWsEWtiUc/38TMre4PaEc/69hVJk0bvWVoGH1xcWgmR79QYk3S8an8c2gnaGloKV1xcihHQCB8s6LdHGxHP/cHlcFt3jxHwCkdyaCu5yBldX1xcyhoHV1xdH1xdShoIGhpaCJLAXVhaCNdcXYoRz/V+wDSN/CyRz/dFiQus3GyRz/ReQJf1qpGZWgYfXF3aCZHv2BiTdLxqfxzaCdoaWgpXXF4KEdAE+Iz/302b0e/3skM4bncNEfAE/jXw6GazmV1fXF5KGgdXXF6fXF7KGggaGloIksBdWFoI11xfChHP+F07eimRydHP+UCf5bkB6dHP+dDftAUqt1laBh9cX1oJke/YGJN0vGp/HNoJ2hpaCldcX4oR0Ad6+nr+ygcR7/eyQzhudw4R8AlgfuWY3bEZXV9cX8oaB1dcYB9cYEoaCBoaWgiSwF1YWgjXXGCKEc/ss6QxzgNY0c/yvvqhxzqR0c/yb0wDDdF52VoGH1xg2gmRwAAAAAAAAAAc2gnaGloKV1xhChHP/xKwkJfivlHv+MKhbkjaaFHwAa7zGGvnstldX1xhShoHV1xhn1xhyhoIGhpaCJLAXVhaCNdcYgoRz/pQQVeOMVuRz/tpi3nGP5URz/pkLP88i6GZWgYfXGJaCZHAAAAAAAAAABzaCdoaWgpXXGKKEdAJV22rXA950e/4wqFuSNppEfAKc90X8hceGV1fXGLKGgdXXGMfXGNKGggaGloIksBdWFoI11xjihHP+8ZgykUzEBHP9rC1j5lll1HP9TyrNs/1zBlaBh9cY9oJkcAAAAAAAAAAHNoJ2hpaCldcZAoR0AhU6i8HqxbR0ADMO3EdKctR8AcuFBWIq9oZXV9cZEoaB1dcZJ9cZMoaCBoaWgiSwF1YWgjXXGUKEc/4p6U4M000kc/nM+a3WZ4BEc/5YapkmAUaGVoGH1xlWgmRwAAAAAAAAAAc2gnaGloKV1xlihHQA5NmOZ2C65HQAMw7cR0py5HwCEiP00i7HZldX1xlyhoHV1xmH1xmShoIGhpaCJLAXVhaCNdcZooRz/ou6FWUXBgRz/TwzyVsoRMRz/T2P7UhtVyZWgYfXGbaCZHAAAAAAAAAABzaCdoaWgpXXGcKEdAGvYdBUHNy0dAABXc84Vi0kfAGJ5cBb8+VmV1fXGdKGgdXXGefXGfKGggaGloIksBdWFoI11xoChHP+YeYbUmvdpHP80Reqa6PoBHP+YTgJW8lUdlaBh9caFoJkcAAAAAAAAAAHNoJ2hpaCldcaIoR0AW2ADmNpDBR0AAFdzzhWLSR8AjLzl1VKT/ZXV9caMoaB1dcaR9caUoaCBoaWgiSwF1YWgjXXGmKEc/0YUbJ6Oy+Ec/ukERbTrA8Uc/2gb8SJBnl2VoGH1xp2gmRwAAAAAAAAAAc2gnaGloKV1xqChHQAKyGkVpjQlHP+e7s2MhmSlHwBTMsGAnnKZldX1xqShoHV1xqn1xqyhoIGhpaCJLAXVhaCNdcawoRz/st93SWKfiRz/nPXJsLiaERz/i/IHbt8w1ZWgYfXGtaCZHAAAAAAAAAABzaCdoaWgpXXGuKEdAJDqIZGHMA0c/57uzYyGZKEfAJRgPSCB12GV1fXGvKGgdXXGwfXGxKGggaGloIksBdWFoI11xsihHP8f3QVUJ8p1HP9Kcn2g6pvBHP+HJWkFqAqhlaBh9cbNoJkeAAAAAAAAAAHNoJ2hpaCldcbQoR0AHvfUeca5XR7/ct+Pej6W4R8AcBz48oxWvZXV9cbUoaB1dcbZ9cbcoaCBoaWgiSwF1YWgjXXG4KEc/5rGwS+KsiEc/6gIvqr2DWUc/3G1LfSv6sGVoGH1xuWgmR4AAAAAAAAAAc2gnaGloKV1xuihHQCL3ka4fw7BHv9y3496PpbhHwCF6yFniuVNldX1xuyhoHV1xvH1xvShoIGhpaCJLAXVhaCNdcb4oRz/IBrN4Z/CqRz9Ywa1e81V4Rz/kbkXjjwYYZWgYfXG/aCZHAAAAAAAAAABzaCdoaWgpXXHAKEc/8p4vwrXIyEc/6dAK6epFoEfAHDqzXdcI9WV1fXHBKGgdXXHCfXHDKGggaGloIksBdWFoI11xxChHP+/znylQhlVHP+n+UyHmA9VHP9cjdDjh89BlaBh9ccVoJkcAAAAAAAAAAHNoJ2hpaCldccYoR0Amk0j9ZXYsRz/p0Arp6kWgR8AhYQ3JSL+vZXV9cccoaB1dcch9cckoaCBoaWgiSwF1YWgjXXHKKEc/yVaeBuakDkc/4H5EGIi39Uc/qW0UKoRi/GVoGH1xy2gmRwAAAAAAAAAAc2gnaGloKV1xzChHQBHME4/yEvVHv/YBUE5Q9gtHwAPJ7AsGfKZldX1xzShoHV1xzn1xzyhoIGhpaCJLAXVhaCNdcdAoRz/fA3fO7pAWRz/pqlh+Rlb8Rz/uaS69V7nQZWgYfXHRaCZHAAAAAAAAAABzaCdoaWgpXXHSKEdAIAEFLcMly0e/9gFQTlD2CkfAKovsdXKlAWV1fXHTKGgdXXHUfXHVKGggaGloIksBdWFoI11x1ihHP9H0sMw7LHxHP9QED4QsdP5HP+0/QW6KTEplaBh9cddoJkeAAAAAAAAAAHNoJ2hpaCldcdgoR0ANa1bSA71RR7/B2XLyLoMwR8Al+2Ns92fMZXV9cdkoaB1dcdp9cdsoaCBoaWgiSwF1YWgjXXHcKEc/5f34PenFgUc/5wWnmeJpwkc/tgX0i62ds2VoGH1x3WgmR4AAAAAAAAAAc2gnaGloKV1x3ihHQCGMOUE7P/FHv8HZcvIugzBHwBMGCBZ5uL9ldX1x3yhoHV1x4H1x4ShoIGhpaCJLAXVhaCNdceIoRz/E880sQyn2Rz/jx8Z9qExlRz/qjMn4BjZ7ZWgYfXHjaCZHAAAAAAAAAABzaCdoaWgpXXHkKEdAE2xSS72TSEe//4AyDP/BuEfAJUuCzVtDoGV1fXHlKGgdXXHmfXHnKGggaGloIksBdWFoI11x6ChHP9hwcwSvZzZHP+rDDLTvNYJHP8XM2B/nJhRlaBh9celoJkcAAAAAAAAAAHNoJ2hpaCldceooR0AeYcufustER7//gDIM/8G5R8AUZclVsgETZXVldVgGAAAAdGFyZ2V0cetHQAYKPXCj1wp1LlBLBwi4rbTocRAAAHEQAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABoABwBtYi1tcC1nYXAtMDc5NTQxL2J5dGVvcmRlckZCAwBaWlpsaXR0bGVQSwcIhT3jGQYAAAAGAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAYADQAbWItbXAtZ2FwLTA3OTU0MS92ZXJzaW9uRkIwAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjMKUEsHCNGeZ1UCAAAAAgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAJwApAG1iLW1wLWdhcC0wNzk1NDEvLmRhdGEvc2VyaWFsaXphdGlvbl9pZEZCJQBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMDYzNjQ1NzczNzk0NjQwMTA1MTMwMDAwMDAyNjk5Mzk4OTU5NDExMVBLBwgmtQyMKAAAACgAAABQSwECAAAAAAgIAAAAAAAAuK206HEQAABxEAAAGQAAAAAAAAAAAAAAAAAAAAAAbWItbXAtZ2FwLTA3OTU0MS9kYXRhLnBrbFBLAQIAAAAACAgAAAAAAACFPeMZBgAAAAYAAAAaAAAAAAAAAAAAAAAAAMEQAABtYi1tcC1nYXAtMDc5NTQxL2J5dGVvcmRlclBLAQIAAAAACAgAAAAAAADRnmdVAgAAAAIAAAAYAAAAAAAAAAAAAAAAABYRAABtYi1tcC1nYXAtMDc5NTQxL3ZlcnNpb25QSwECAAAAAAgIAAAAAAAAJrUMjCgAAAAoAAAAJwAAAAAAAAAAAAAAAACSEQAAbWItbXAtZ2FwLTA3OTU0MS8uZGF0YS9zZXJpYWxpemF0aW9uX2lkUEsGBiwAAAAAAAAAHgMtAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAACoBAAAAAAAAOBIAAAAAAABQSwYHAAAAAGITAAAAAAAAAQAAAFBLBQYAAAAABAAEACoBAAA4EgAAAAA=" | ./matbench_mp_gap/mb-mp-gap-079541 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-048578 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA4NzIwOS9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQBkznnFvruVHAAAAAAAAAABHv+OrPsKzbldlXXENKEcAAAAAAAAAAEdAKomvq37JX0cAAAAAAAAAAGVdcQ4oRz+tMtI6Sf3QRwAAAAAAAAAAR0AufWWtAwLqZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAGVI/d+ASkFgBAAAAYnESR0Aqia+rfslfWAEAAABjcRNHQC59c6gfRrpYBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAV9bkT2SDElgFAAAAZ2FtbWFxFkdAVoAAAAAAAFgGAAAAdm9sdW1lcRdHQJPrvKg52cJ1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAEAAABPcSFYBAAAAG9jY3VxIksBdWFYAwAAAGFiY3EjXXEkKEc/5I4u11js1kc/0IZLHbWdhkc/605msDhBkGVoGH1xJVgGAAAAbWFnbW9tcSZHAAAAAAAAAABzWAUAAABsYWJlbHEnaCFYAwAAAHh5enEoXXEpKEdAEGIRz7KT5kdAC2htYWlMV0dAKTpaisApdGV1fXEqKGgdXXErfXEsKGggaCFoIksBdWFoI11xLShHP+tx0SinEypHP+hDJY7azsNHP+SxmU/HvnBlaBh9cS5oJkcAAAAAAAAAAHNoJ2ghaChdcS8oR0AVwvRRI9BsR0AkHvMuGbfFR0AiqbAWg4iTZXV9cTAoaB1dcTF9cTIoaCBoIWgiSwF1YWgjXXEzKEc/1uOiUU4mVEc/57zacSUxPUc/wsZlPx75wGVoGH1xNGgmRwAAAAAAAAAAc2gnaCFoKF1xNShHQAIX5IxjXfZHQCOvlFMkdklHQAAhXNheikRldX1xNihoHV1xN31xOChoIGghaCJLAXVhaCNdcTkoRz/COLtdY7NZRz/O82nElMT0Rz/WnM1gcIMgZWgYfXE6aCZHAAAAAAAAAABzaCdoIWgoXXE7KEc/7Vh+JgOTq0dACarx9ZRGZ0dAFTIDVKiG42V1fXE8KGgdXXE9fXE+KGggaCFoIksBdWFoI11xPyhHP+8QCb3D8FpHP8/4V+r4huVHP+LpTF9UI25laBh9cUBoJkcAAAAAAAAAAHNoJ2ghaChdcUEoR0AYmSXlCwrGR0AKg1YoxnNzR0Ag01b7vpBpZXV9cUIoaB1dcUN9cUQoaCBoIWgiSwF1YWgjXXFFKEc/4O/2QjwPpkc/5/4V+r4huUc/7RazoKvckmVoGH1xRmgmRwAAAAAAAAAAc2gnaCFoKF1xRyhHQAsXwHeWsxdHQCPlrV/xAYxHQCsQs6WFIZ5ldX1xSChoHV1xSX1xSihoIGghaCJLAXVhaCNdcUsoRz+d/shHgfS3Rz/oAeoFQd5HRz/aLWdBV7kkZWgYfXFMaCZHAAAAAAAAAABzaCdoIWgoXXFNKEc/ypvGGycDU0dAI+jaIU0sgkdAGN61ijJ3NmV1fXFOKGgdXXFPfXFQKGggaCFoIksBdWFoI11xUShHP94gE3uH4LVHP9AD1AqDvI5HP7dKYvqhG25laBh9cVJoJkcAAAAAAAAAAHNoJ2ghaChdcVMoR0AHxEe0MdKsR0AKkAkuNx9LRz/xj/DalVM4ZXV9cVQoaB1dcVV9cVYoaCBoIWgiSwF1YWgjXXFXKEc/5Giiy/JcU0c/wGfZAjpB8Ec/4SITwP0K2GVoGH1xWGgmRwAAAAAAAAAAc2gnaCFoKF1xWShHQBAx7y8wHoNHP/s17fVvJedHQB8UwSnQUBlldX1xWihoHV1xW31xXChoIGghaCJLAXVhaCNdcV0oRz/rl100DaOtRz/kGfZAjpB8Rz/u3ew/AvUoZWgYfXFeaCZHAAAAAAAAAABzaCdoIWgoXXFfKEdAFfMW8aZFzkdAIKuVlG1JbEdALFmqDFuJ+mV1fXFgKGgdXXFhfXFiKGggaCFoIksBdWFoI11xYyhHP9cuumgbR1lHP+vmCb9xb4RHP9272H4F6lBlaBh9cWRoJkcAAAAAAAAAAHNoJ2ghaChdcWUoR0ACeCnNaEi7R0AnIvHs0OSiR0AbcKJX30fwZXV9cWYoaB1dcWd9cWgoaCBoIWgiSwF1YWgjXXFpKEc/waKLL8lxTkc/18wTfuLfCEc/oiE8D9CtgmVoGH1xamgmRwAAAAAAAAAAc2gnaCFoKF1xayhHP+vXaSHv6JdHQBO8NC4i/+VHP90g9o+IQVJldX1xbChoHV1xbX1xbihoIGghaCJLAXVhaCNdcW8oRz/NMqfdfyGeRz/Zc+CM8xgQRz/k16mKJ4u1ZWgYfXFwaCZHAAAAAAAAAABzaCdoIWgoXXFxKEc/95bQzozNs0dAFRuqRf0HfkdAI5QSSqZfiGV1fXFyKGgdXXFzfXF0KGggaCFoIksBdWFoI11xdShHP9FmrBFAbzFHP+y58EZ5jAhHP+soVnXYdEtlaBh9cXZoJkcAAAAAAAAAAHNoJ2ghaChdcXcoRz/8Ls3vDgf9R0An0qz4vehvR0ApiqxCyIlkZXV9cXgoaB1dcXl9cXooaCBoIWgiSwF1YWgjXXF7KEc/6LNWCKA3mEc/40YPuYZz+Ec/1lCs67DolmVoGH1xfGgmRwAAAAAAAAAAc2gnaCFoKF1xfShHQBOIT+JBD3NHQB/3tREAi0BHQBNdPuxi2PlldX1xfihoHV1xf31xgChoIGghaCJLAXVhaCNdcYEoRz/nTKn3X8hoRz+6MH3MM5/ARz/DXqYoni7VZWgYfXGCaCZHAAAAAAAAAABzaCdoIWgoXXGDKEdAEmJQmiDA4Uc/9bgVlgcHg0c//cAr8HoVBmV1fXGEKGgdXXGFfXGGKGggaCFoIksBdWFoI11xhyhHP+zCp8q0xJhHP9YTcD+DIrVHP+e9+z2jeZdlaBh9cYhoJkcAAAAAAAAAAHNoJ2ghaChdcYkoR0AW0ct53VxlR0ASTsecx6g+R0AlhE1TnkVQZXV9cYooaB1dcYt9cYwoaCBoIWgiSwF1YWgjXXGNKEc/1EhiGXqlY0c/rudzwhmVfUc/tcjEf3ZXy2VoGH1xjmgmRwAAAAAAAAAAc2gnaCFoKF1xjyhHQAADNLL9D+tHP+mhBpysGOBHP/GjtHnEl+FldX1xkChoHV1xkX1xkihoIGghaCJLAXVhaCNdcZMoRz+56sGqWds+Rz/k9kfgPm6mRz/QhAmEuQzRZWgYfXGUaCZHAAAAAAAAAABzaCdoIWgoXXGVKEc/5OHE4Dcz20dAIWJL3Rr1QUdADvmRtOYa02V1fXGWKGgdXXGXfXGYKGggaCFoIksBdWFoI11xmShHP9mFT5VpiTFHP8PZH4D5updHP8737PaN5l1laBh9cZpoJkcAAAAAAAAAAHNoJ2ghaChdcZsoR0AENZLd1nXqR0AAddAdbkJDR0ALi9HMyX01ZXV9cZwoaB1dcZ19cZ4oaCBoIWgiSwF1YWgjXXGfKEc/57L8x2Zbf0c/xLJtUA+M5kc/5qTfR/mT1WVoGH1xoGgmRwAAAAAAAAAAc2gnaCFoKF1xoShHQBLTYtfbRGNHQAEqBlO8q9RHQCSqO732tB5ldX1xoihoHV1xo31xpChoIGghaCJLAXVhaCNdcaUoRz/oTQM4maSBRz/lLJtUA+M5Rz/pWyC4BmwrZWgYfXGmaCZHAAAAAAAAAABzaCdoIWgoXXGnKEdAE1GjSPsf7UdAIY9Zaq6PpEdAJznO40z96GV1fXGoKGgdXXGpfXGqKGggaCFoIksBdWFoI11xqyhHP9CaBnEzSQNHP+rTZKv8HMdHP9K2QXAM2FZlaBh9caxoJkcAAAAAAAAAAHNoJ2ghaChdca0oRz/6aoT4I/n2R0AmPy4Wj55rR0ARMOwFwi/MZXV9ca4oaB1dca99cbAoaCBoIWgiSwF1YWgjXXGxKEc/zsvzHZlt+0c/1abJV/g5jUc/ypN9H+ZPVWVoGH1xsmgmRwAAAAAAAAAAc2gnaCFoKF1xsyhHP/hxgzOki8xHQBH0rIGgc3VHQAgji3YrOHFldX1xtChoHV1xtX1xtihoIGghaCJLAXVhaCNdcbcoRz+GlIQw/KIoRz+quBczImw8Rz/jwnqegbXNZWgYfXG4aCZHAAAAAAAAAABzaCdoIWgoXXG5KEc/usxELgtvs0c/5iiJqs9b7UdAItBJKyLkoGV1fXG6KGgdXXG7fXG8KGggaCFoIksBdWFoI11xvShHP99LW954Gu9HP+GrgXMyJsRHP+w9hWF+SjNlaBh9cb5oJkcAAAAAAAAAAHNoJ2ghaChdcb8oR0AJDG09XQ9bR0AdTsDg2LTdR0AqTnViTARMZXV9ccAoaB1dccF9ccIoaCBoIWgiSwF1YWgjXXHDKEc/76Wt7zwNd0c/7lR+jM3ZPEc/2HsKwvyUZmVoGH1xxGgmRwAAAAAAAAAAc2gnaCFoKF1xxShHQBkC0wUsFSFHQCknJxDR06BHQBTk0StpzslldX1xxihoHV1xx31xyChoIGghaCJLAXVhaCNdcckoRz/gWlIQw/KJRz/cqP0Zm7J5Rz++E9T0Da5pZWgYfXHKaCZHAAAAAAAAAABzaCdoIWgoXXHLKEdACc+a7mt2Z0dAF8SediTd4kc/96Hi9F49w2V1fXHMKGgdXXHNfXHOKGggaCFoIksBdWFoI11xzyhHP6lszAYoYyFHP8gB9jnYk9VHP+roBh5SJZJlaBh9cdBoJkcAAAAAAAAAAHNoJ2ghaChdcdEoRz/XF6LIYEBsR0AD6ORAi8ZBR0Apk1TpvEbDZXV9cdIoaB1dcdN9cdQoaCBoIWgiSwF1YWgjXXHVKEc/3NJmfzrznEc/5gB9jnYk9Uc/5Rf54a3abmVoGH1x1mgmRwAAAAAAAAAAc2gnaCFoKF1x1yhHQAb/2wXBYspHQCI/EOXiVj9HQCOLaaOyoilldX1x2ChoHV1x2X1x2ihoIGghaCJLAXVhaCNdcdsoRz/uaTM/nXnORz/p/4JxidsLRz/EX+eGt2m5ZWgYfXHcaCZHAAAAAAAAAABzaCdoIWgoXXHdKEdAF/yJ6V4+2kdAJY92m1vXz0c//XrmuNwqDmV1fXHeKGgdXXHffXHgKGggaCFoIksBdWFoI11x4ShHP+GWzMBihjJHP9P/BOMTthVHP9XQDDykSyNlaBh9ceJoJkcAAAAAAAAAAHNoJ2ghaChdceMoR0AL3C0mByL3R0AQlT2LOOY+R0ATbpA6SlO1ZXV9ceQoaB1dceV9ceYoaCBoIWgiSwF1YWgjXXHnKEc/6iQxDL1SsUc/3CMRh7zNUEc/4rkYj+7K+WVoGH1x6GgmRwAAAAAAAAAAc2gnaCFoKF1x6ShHQBS4nGRwqWZHQBdVjtfpRkNHQCDVz2+keP5ldX1x6ihoHV1x631x7ChoIGghaCJLAXVhaCNdce0oRz/l287zQq1PRz/uEYjD3maoRz/tRudwETUHZWgYfXHuaCZHAAAAAAAAAABzaCdoIWgoXXHvKEdAEWxpvGW67EdAKO+fQbQH0UdAKw47MZ85CWV1fXHwKGgdXXHxfXHyKGggaCFoIksBdWFoI11x8yhHP8dvO80KtTtHP+HudzwhmVhHP9qNzuAiag1laBh9cfRoJkcAAAAAAAAAAHNoJ2ghaChdcfUoRz/y1Z7FzmXrR0AdvdB/FEx7R0AY2cSiZqYMZXV9cfYoaB1dcfd9cfgoaCBoIWgiSwF1YWgjXXH5KEc/4z1YNUs7aEc/6wm4H8GRWkc/6EIEwlyGaWVoGH1x+mgmRwAAAAAAAAAAc2gnaCFoKF1x+yhHQA6mdU3yD9hHQCZsO6QjOM5HQCZfvU2lbLdldX1x/ChoHV1x/X1x/ihoIFgCAAAAU2lx/2giSwF1YWgjXXIAAQAAKEc/6rA/+T9Gkkc/zlNMri58FEc/6V3CUvZHGmVoGH1yAQEAAGgmRwAAAAAAAAAAc2gnWAIAAABTaXICAQAAaChdcgMBAAAoR0AVMwmIBrMYR0AJJiln4Bz4R0AnJNWDUhanZXV9cgQBAAAoaB1dcgUBAAB9cgYBAAAoaCBo/2giSwF1YWgjXXIHAQAAKEc/5U/ABsC5bkc/55TTK4ufBUc/5qI9rQm45mVoGH1yCAEAAGgmRwAAAAAAAAAAc2gnWAIAAABTaXIJAQAAaChdcgoBAAAoR0AQ8fyYz7E4R0AjjmIvt2vtR0AkvzUd8ZtgZXV9cgsBAAAoaB1dcgwBAAB9cg0BAAAoaCBo/2giSwF1YWgjXXIOAQAAKEc/xT8AGwLluUc/6Gss1HRg+0c/yoj2tCbjmmVoGH1yDwEAAGgmRwAAAAAAAAAAc2gnWAIAAABTaXIQAQAAaChdchEBAAAoRz/w6+o3dj8iR0AkQCVRhsIhR0AId3D2FtV8ZXV9chIBAAAoaB1dchMBAAB9chQBAAAoaCBo/2giSwF1YWgjXXIVAQAAKEc/1WB/8n6NJEc/0NZZqOjB9kc/0ruEpeyOM2VoGH1yFgEAAGgmRwAAAAAAAAAAc2gnWAIAAABTaXIXAQAAaChdchgBAAAoR0AA+A76KSNQR0AL7TXvHXXGR0ARBvlFzGFHZXV9chkBAAAoaB1dchoBAAB9chsBAAAoaCBo/2giSwF1YWgjXXIcAQAAKEc/72aAgnFe6Ec/11RPmEOuK0c/5Hz6ccufUGVoGH1yHQEAAGgmRwAAAAAAAAAAc2gnWAIAAABTaXIeAQAAaChdch8BAAAoR0AY4B7V0mdrR0ATWOGylSAVR0AiUKW8Gkn+ZXV9ciABAAAoaB1dciEBAAB9ciIBAAAoaCBo/2giSwF1YWgjXXIjAQAAKEc/4Jl/fY6hGEc/66onzCHXFUc/64MFjjRgsGVoGH1yJAEAAGgmRwAAAAAAAAAAc2gnWAIAAABTaXIlAQAAaChdciYBAAAoR0AKic6WB/nNR0Am8UivCfS5R0Apk2TlKWgJZXV9cicBAAAoaB1dcigBAAB9cikBAAAoaCBo/2giSwF1YWgjXXIqAQAAKEc/ky/vsdQjAkc/5FXYM94o60c/1wYLHGjBYGVoGH1yKwEAAGgmRwAAAAAAAAAAc2gnWAIAAABTaXIsAQAAaChdci0BAAAoRz/BvKgCO27HR0Ag3T7SNDlVR0AV5BgJewQNZXV9ci4BAAAoaB1dci8BAAB9cjABAAAoaCBo/2giSwF1YWgjXXIxAQAAKEc/3s0BBOK90Ec/wVdgz3ijq0c/wfPpxy59QWVoGH1yMgEAAGgmRwAAAAAAAAAAc2gnWAIAAABTaXIzAQAAaChdcjQBAAAoR0AIUjmVwIv0Rz/8wzfjpqUrRz/9embdcx/gZXV9cjUBAAAoaB1dcjYBAAB9cjcBAAAoaCBo/2giSwF1YWgjXXI4AQAAKEc/6sdUou+DsUc/wj+OoMIs4Uc/43qZns0KNGVoGH1yOQEAAGgmRwAAAAAAAAAAc2gnWAIAAABTaXI6AQAAaChdcjsBAAAoR0AVOnh6zgRsRz/+RFBVO+ReR0Ahh+pSF5PbZXV9cjwBAAAoaB1dcj0BAAB9cj4BAAAoaCBo/2giSwF1YWgjXXI/AQAAKEc/5TirXRB8T0c/5I/jqDCLOEc/7IVmYTL1zGVoGH1yQAEAAGgmRwAAAAAAAAAAc2gnWAIAAABTaXJBAQAAaChdckIBAAAoR0AQ6o2mCF/lR0AhDWHgZuE7R0AqXCBPLB4sZXV9ckMBAAAoaB1dckQBAAB9ckUBAAAoaCBo/2giSwF1YWgjXXJGAQAAKEc/xOKtdEHxPEc/63AcV890yEc/2QrMwmXrl2VoGH1yRwEAAGgmRwAAAAAAAAAAc2gnWAIAAABTaXJIAQAAaChdckkBAAAoRz/wzi5sWPnTR0AmwSWg10zTR0AXdY7dgHBSZXV9ckoBAAAoaB1dcksBAAB9ckwBAAAoaCBo/2giSwF1YWgjXXJNAQAAKEc/1Y6pRd8HYkc/1uA4r57pkEc/u9TM9mhRo2VoGH1yTgEAAGgmRwAAAAAAAAAAc2gnWAIAAABTaXJPAQAAaChdclABAAAoR0ABBuzft8X3R0AS+JuWL9BIRz/3NIuNXW7JZXV9clEBAAAoaB1dclIBAAB9clMBAAAoaCBYAQAAAEtyVAEAAGgiSwF1YWgjXXJVAQAAKEc/4UTjE7YVUEc/5U6QVnnfP0c/3zWjWriIR2VoGH1yVgEAAGgmRwAAAAAAAAAAc2gnalQBAABoKF1yVwEAAChHQAtsTb8RY4BHQCGrgpgK1s1HQBxo67s55kNldX1yWAEAAChoHV1yWQEAAH1yWgEAAChoIGpUAQAAaCJLAXVhaCNdclsBAAAoRz+1nRT5NmI9Rz/jLoosE1lORz/ina1vuk0YZWgYfXJcAQAAaCZHAAAAAAAAAABzaCdqVAEAAGgoXXJdAQAAKEc/4hVdHeQBuEdAH9CxoVl9gUdAIaIz0AzmdmV1fXJeAQAAKGgdXXJfAQAAfXJgAQAAKGggalQBAABoIksBdWFoI11yYQEAAChHP+Kzop8mzEhHP+zRddPsprJHP7Tta33SaMNlaBh9cmIBAABoJkcAAAAAAAAAAHNoJ2pUAQAAaChdcmMBAAAoR0ANfpAUdBtYR0An5i6wkW9ORz/sYnA3XJjkZXV9cmQBAAAoaB1dcmUBAAB9cmYBAAAoaCBqVAEAAGgiSwF1YWgjXXJnAQAAKEc/7UxdYNkzuEc/2aLrp9lNZEc/2sSlIItlz2VoGH1yaAEAAGgmRwAAAAAAAAAAc2gnalQBAABoKF1yaQEAAChHQBcrWHInwqlHQBVCrbWkFT1HQBdA++GVyx1ldX1yagEAAChoHV1yawEAAH1ybAEAAChoIGpUAQAAaCJLAXVhaCNdcm0BAAAoRz/ddjnYk9VfRz/VYt9TDEGCRz/gZS5So7vcZWgYfXJuAQAAaCZHAAAAAAAAAABzaCdqVAEAAGgoXXJvAQAAKEdAB2+6bLciQEdAEbxaJuflJUdAHhx3xnWxxmV1fXJwAQAAKGgdXXJxAQAAfXJyAQAAKGggalQBAABoIksBdWFoI11ycwEAAChHP6ROMTthVQVHP+qxb6mGIMFHP++a0a1cRCRlaBh9cnQBAABoJkcAAAAAAAAAAHNoJ2pUAQAAaChdcnUBAAAoRz/TmKeQskS7R0AmIwTpM1dCR0AuEIKqNBAJZXV9cnYBAAAoaB1dcncBAAB9cngBAAAoaCBqVAEAAGgiSwF1YWgjXXJ5AQAAKEc/2pi6wbJncUc/uXRRYJrKcUc/7WJSkEWy6GVoGH1yegEAAGgmRwAAAAAAAAAAc2gnalQBAABoKF1yewEAAChHQAVdeBdUampHP/UcB9dq0IhHQCt8ir1iAndldX1yfAEAAChoHV1yfQEAAH1yfgEAAChoIGpUAQAAaCJLAXVhaCNdcn8BAAAoRz/uuxzsSeqwRz/FOkFZ53z8Rz+JS5So7vcZZWgYfXKAAQAAaCZHAAAAAAAAAABzaCdqVAEAAGgoXXKBAQAAKEdAGDR5nNkelkdAAZqrCS3IdEe/2bodK4iAjGV1fXKCAQAAKGgdXXKDAQAAfXKEAQAAKGggalQBAABoIksBdWFoI11yhQEAAChHP+f9k6mVkCBHP9q3goL8nyJHP+8tG4bvHQRlaBh9coYBAABoJkcAAAAAAAAAAHNoJ2pUAQAAaChdcocBAAAoR0ATHbMRY5R6R0AWKA5b7kNIR0AsyIX0hF/nZXV9cogBAAAoaB1dcokBAAB9cooBAAAoaCBqVAEAAGgiSwF1YWgjXXKLAQAAKEc/6AJsVmpv4Ec/7VvBQX5PkUc/4NLkeRDi/GVoGH1yjAEAAGgmRwAAAAAAAAAAc2gnalQBAABoKF1yjQEAAChHQBMHUw9yz9dHQChY3wO2hlRHQB43CVl+pD9ldX1yjgEAAChoHV1yjwEAAH1ykAEAAChoIGpUAQAAaCJLAXVhaCNdcpEBAAAoRz/QBNis1N/BRz/ipD6+gbBvRz+aXI8iHF+HZWgYfXKSAQAAaCZHAAAAAAAAAABzaCdqVAEAAGgoXXKTAQAAKEc/+UFEEgK5nkdAHutQ+w9Pdkc/zorzFNsHfmV1fXKUAQAAKGgdXXKVAQAAfXKWAQAAKGggalQBAABoIksBdWFoI11ylwEAAChHP8/2TqZWQH5HP7Uh9fQNg3ZHP95aNw3eOghlaBh9cpgBAABoJkcAAAAAAAAAAHNoJ2pUAQAAaChdcpkBAAAoRz/5msQZxcwkRz/xhoU+QhhZR0AcTlooMPPJZXV9cpoBAAAoaB1dcpsBAAB9cpwBAAAoaCBqVAEAAGgiSwF1YWgjXXKdAQAAKEc/1MrKM2plpEc/x2YZ5VlgmUc/5nod7ieQaGVoGH1yngEAAGgmRwAAAAAAAAAAc2gnalQBAABoKF1ynwEAAChHQACyAZPL0LlHQANnopz6cwlHQCUEUxswi2ZldX1yoAEAAChoHV1yoQEAAH1yogEAAChoIGpUAQAAaCJLAXVhaCNdcqMBAAAoRz/GamuZKzS3Rz/l2YZ5VlgmRz/pheIR2G+YZWgYfXKkAQAAaCZHAAAAAAAAAABzaCdqVAEAAGgoXXKlAQAAKEc/8mGblgM0PUdAIh7AfP4BckdAKBprcj5dh2V1fXKmAQAAKGgdXXKnAQAAfXKoAQAAKGggalQBAABoIksBdWFoI11yqQEAAChHP+WamuZKzS5HP+omeYapp9pHP9MLxCOw3zBlaBh9cqoBAABoJkcAAAAAAAAAAHNoJ2pUAQAAaChdcqsBAAAoR0ARFQNL/lqER0Alr8cEQCydR0AQfL1LToE+ZXV9cqwBAAAoaB1dcq0BAAB9cq4BAAAoaCBqVAEAAGgiSwF1YWgjXXKvAQAAKEc/6mVlGbUy0kc/1EzzDVNPs0c/yeh3uJ5Bn2VoGH1ysAEAAGgmRwAAAAAAAAAAc2gnalQBAABoKF1ysQEAAChHQBTVnTBjddFHQBDV3l0Bj9pHQAShGTplufZldX1ysgEAAChoHV1yswEAAH1ytAEAAChoIGpUAQAAaCJLAXVhaCNdcrUBAAAoRz/iYBBxEWUtRz/fOUihA5tARz/m3b32RUEoZWgYfXK2AQAAaCZHAAAAAAAAAABzaCdqVAEAAGgoXXK3AQAAKEdADUTW71/9XUdAGeTjql9IR0dAJRTG+hyxuWV1fXK4AQAAKGgdXXK5AQAAfXK6AQAAKGggalQBAABoIksBdWFoI11yuwEAAChHP+2f747umtNHP++cpFCBzaBHP+kiQgm6vthlaBh9crwBAABoJkcAAAAAAAAAAHNoJ2pUAQAAaChdcr0BAAAoR0AXgpqpJmWjR0AqN0mq7wjTR0Amz0OnJwBOZXV9cr4BAAAoaB1dcr8BAAB9csABAAAoaCBqVAEAAGgiSwF1YWgjXXLBAQAAKEc/2z/fHd01pkc/4GNbr34yYEc/0kSEE3V9sWVoGH1ywgEAAGgmRwAAAAAAAAAAc2gnalQBAABoKF1ywwEAAChHQAWXMTxoiGVHQBsue6yeSndHQBBb1Y12NJhldX1yxAEAAChoHV1yxQEAAH1yxgEAAChoIGpUAQAAaCJLAXVhaCNdcscBAAAoRz+zAIOIiylpRz+I1uvfjJf+Rz/LdvfZFQSfZWgYfXLIAQAAaCZHAAAAAAAAAABzaCdqVAEAAGgoXXLJAQAAKEc/3raWy93T4kc/xJmAI/Ai9UdACc24ZsMu2mV1fXLKAQAAKGgdXXLLAQAAfXLMAQAAKGggalQBAABoIksBdWFoI11yzQEAAChHP9E6q0Hio3lHP9eiHJU3CVdHP+uo55VQCNdlaBh9cs4BAABoJkcAAAAAAAAAAHNoJ2pUAQAAaChdcs8BAAAoRz/77SkyVcbZR0ATmWcAz8cCR0AqBgR/WsCdZXV9ctABAAAoaB1dctEBAAB9ctIBAAAoaCBqVAEAAGgiSwF1YWgjXXLTAQAAKEc/zYqpfDq5Dkc/69EOSpuEq0c/5FcYaq/3KWVoGH1y1AEAAGgmRwAAAAAAAAAAc2gnalQBAABoKF1y1QEAAChHP/fYdYtFDtdHQCcRi1YnSDBHQCMYug4UKE9ldX1y1gEAAChoHV1y1wEAAH1y2AEAAChoIGpUAQAAaCJLAXVhaCNdctkBAAAoRz/nYqpfDq5ERz/kLvG1ZHtVRz/BXGGqv9ykZWgYfXLaAQAAaCZHAAAAAAAAAABzaCdqVAEAAGgoXXLbAQAAKEdAEnK5yU7RK0dAILz8Kxbl3kc/+eVqC+hbOmV1fXLcAQAAKGgdXXLdAQAAfXLeAQAAKGggalQBAABoIksBdWFoI11y3wEAAChHP+idVaDxUbxHP8C7xtWR7VNHP9dRzyqgEa5laBh9cuABAABoJkcAAAAAAAAAAHNoJ2pUAQAAaChdcuEBAAAoR0ATd+azEv8rRz/7wSKqvAl2R0AUU+9lh0drZXVldVgGAAAAdGFyZ2V0cuIBAABHQA3z6rNnoPl1LlBLBwgzVVhDgCUAAIAlAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABoAOABtYi1tcC1nYXAtMDg3MjA5L2J5dGVvcmRlckZCNABaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpabGl0dGxlUEsHCIU94xkGAAAABgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGAA0AG1iLW1wLWdhcC0wODcyMDkvdmVyc2lvbkZCMABaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlozClBLBwjRnmdVAgAAAAIAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAACcAKQBtYi1tcC1nYXAtMDg3MjA5Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRGQiUAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjA2MzY0NTc3Mzc5NDY0MDEwNTEzMDAwMDAwMTU2OTA5NDkyNTYwOTBQSwcIlQhLTygAAAAoAAAAUEsBAgAAAAAICAAAAAAAADNVWEOAJQAAgCUAABkAAAAAAAAAAAAAAAAAAAAAAG1iLW1wLWdhcC0wODcyMDkvZGF0YS5wa2xQSwECAAAAAAgIAAAAAAAAhT3jGQYAAAAGAAAAGgAAAAAAAAAAAAAAAADQJQAAbWItbXAtZ2FwLTA4NzIwOS9ieXRlb3JkZXJQSwECAAAAAAgIAAAAAAAA0Z5nVQIAAAACAAAAGAAAAAAAAAAAAAAAAABWJgAAbWItbXAtZ2FwLTA4NzIwOS92ZXJzaW9uUEsBAgAAAAAICAAAAAAAAJUIS08oAAAAKAAAACcAAAAAAAAAAAAAAAAA0iYAAG1iLW1wLWdhcC0wODcyMDkvLmRhdGEvc2VyaWFsaXphdGlvbl9pZFBLBgYsAAAAAAAAAB4DLQAAAAAAAAAAAAQAAAAAAAAABAAAAAAAAAAqAQAAAAAAAHgnAAAAAAAAUEsGBwAAAACiKAAAAAAAAAEAAABQSwUGAAAAAAQABAAqAQAAeCcAAAAA" | ./matbench_mp_gap/mb-mp-gap-087209 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-071923 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA5MTU1Mi9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQBnVGUyCOaxHAAAAAAAAAABHAAAAAAAAAABlXXENKEcAAAAAAAAAAEdAJTsMLF4s3EcAAAAAAAAAAGVdcQ4oRwAAAAAAAAAARwAAAAAAAAAAR0Ap76qlsH44ZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAGdUZTII5rFgBAAAAYnESR0AlOwwsXizcWAEAAABjcRNHQCnvqqWwfjhYBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAVoAAAAAAAFgGAAAAdm9sdW1lcRdHQIvINni2/2V1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAEAAABPcSFYBAAAAG9jY3VxIksBdWFYAwAAAGFiY3EjXXEkKEc/4WZOs8I5zEc/7INn0/m8xUc/0fmrh9im9mVoGH1xJVgGAAAAbWFnbW9tcSZHAAAAAAAAAABzWAUAAABsYWJlbHEnaCFYAwAAAHh5enEoXXEpKEdADBeYc6cQnEdAIurZQ1pAkEdADSNdLWM9kWV1fXEqKGgdXXErfXEsKGggaCFoIksBdWFoI11xLShHP90zYph7jGhHP9kGz6fzeYpHP+cDKjwTrIVlaBh9cS5oJkcAAAAAAAAAAHNoJ2ghaChdcS8oR0AHkpolXWK8R0AQmqZaVlRER0AiptNaV67UZXV9cTAoaB1dcTF9cTIoaCBoIWgiSwF1YWgjXXEzKEc/7pmxTD3GNEc/7INn0/m8xUc/6PzVw+xTe2VoGH1xNGgmRwAAAAAAAAAAc2gnaCFoKF1xNShHQBiz2bjvzjRHQCLq2UNaQJBHQCRArJ4xDoBldX1xNihoHV1xN31xOChoIGghaCJLAXVhaCNdcTkoRz+mZOs8I5y9Rz/ZBs+n83mKRz/MDKjwTrIVZWgYfXE6aCZHAAAAAAAAAABzaCdoIWgoXXE7KEc/0hP5OSa3gUdAEJqmWlZUREdABrv4Hf2+4GV1fXE8KGgdXXE9fXE+KGggaCFoIksBdWFoI11xPyhHP+6LxoJa46ZHP+Sa/y91jndHP80OXA5IwxJlaBh9cUBoJkcAAAAAAAAAAHNoJ2ghaChdcUEoR0AYqJ2dZgsFR0AbV3oorDY1R0AHjNYdbt/5ZXV9cUIoaB1dcUN9cUQoaCBoIWgiSwF1YWgjXXFFKEc/p0OX2lHFmkc/wmv8vdY53kc/6Lxo/G3PO2VoGH1xRmgmRwAAAAAAAAAAc2gnaCFoKF1xRyhHP9LHuvHC6mhHP/hxt/E4JWdHQCQMdR5UxjlldX1xSChoHV1xSX1xSihoIGghaCJLAXVhaCNdcUsoRz/hdDl9pRxaRz/kmv8vdY53Rz/nQ5cDkjDFZWgYfXFMaCZHAAAAAAAAAABzaCdoIWgoXXFNKEdADC4QqrqW+kdAG1d6KKw2NUdAItsK2jP3G2V1fXFOKGgdXXFPfXFQKGggaCFoIksBdWFoI11xUShHP90XjQS1x01HP8Jr/L3WOd5HP9F40fjbnndlaBh9cVJoJkcAAAAAAAAAAHNoJ2ghaChdcVMoR0AHfCHuSdxfRz/4cbfxOCVnR0AMUn8t8hx3ZXV9cVQoaB1dcVV9cVYoaCBoIWgiSwF1YWgjXXFXKEc/7pKmUDZORkc/7O/OdGy5Z0c/z4RAFhqekmVoGH1xWGgmRz/wm6XjU/fPc2gnaCFoKF1xWShHQBiuKj1a+yZHQCMyxKMaUqlHQAmLXeGuFkJldX1xWihoHV1xW31xXChoIGghaCJLAXVhaCNdcV0oRz+m1Zr8mxulRz/Z35zo2XLNRz/oHu/6eVhcZWgYfXFeaCZHP/CbpeNT989zaCdoIWgoXXFfKEc/0m7w8nPoZ0dAESp9GdZ4dkdAI4zTLUT4qGV1fXFgKGgdXXFhfXFiKGggaCFoIksBdWFoI11xYyhHP+FtWa/JsbpHP+zvznRsuWdHP+fhEAWGp6RlaBh9cWRoJkc/8Jul41P3z3NoJ2ghaChdcWUoR0AMIvdq0La4R0AjMsSjGlKpR0AjWqzLQ8SsZXV9cWYoaB1dcWd9cWgoaCBoIWgiSwF1YWgjXXFpKEc/3SVMoGyci0c/2d+c6NlyzUc/0D3f9PKwt2VoGH1xamgmRz/xKwIMSbpec2gnaCFoKF1xayhHQAeHOy4zvJ9HQBEqfRnWeHZHQApT92my5i5ldX1xbChoHV1xbX1xbihoIGghaCJLAXVhaCNdcW8oRz+gyXiEdhvmRz/A7ohI5EptRz/PnH7RQVCtZWgYfXFwaCZHP/EvGp++dslzaCdoIWgoXXFxKEc/yxpg7m3czkc/9nePWBJBz0dACZ8EebTl1WV1fXFyKGgdXXFzfXF0KGggaCFoIksBdWFoI11xdShHP+7zaHe4nkJHP+Q7ohI5EptHP+gY4Euvq9VlaBh9cXZoJkc/8S8an752yXNoJ2ghaChdcXcoR0AY/EZFDsrGR0Aa2PACYr1PR0Ajh+mHQ0TDZXV9cXgoaB1dcXl9cXooaCBoIWgiSwF1YWgjXXF7KEc/3ebQ73E8g0c/wO6ISORKbUc/5+cftFBUK2VoGH1xfGgmRz/xKwIMSbpec2gnaCFoKF1xfShHQAgjcz2bW99HP/Z3j1gSQc9HQCNflnFFeJFldX1xfihoHV1xf31xgChoIGghaCJLAXVhaCNdcYEoRz/mJTVDrqt6Rz/n0h3fY/4sRz/tEQQOrWzgZWgYfXGCaCZHP/CbpeNT989zaCdoIWgoXXGDKEdAEeCKyW8TEEdAH5uwIv9tPUdAJ479Qqq3dWV1fXGEKGgdXXGFfXGGKGggaCFoIksBdWFoI11xhyhHP+EMl4hHYb5HP+Q7ohI5EptHP9AxwJdfV6llaBh9cYhoJkc/eJN0vGp++nNoJ2ghaChdcYkoR0ALhr9baRd4R0Aa2PACYr1PR0AKQFDRrBabZXV9cYooaB1dcYt9cYwoaCBoIWgiSwF1YWgjXXGNKEc/6fuBlheu80c/3zrL7lWInkc/45IcYjZV/WVoGH1xjmgmRz94k3S8an76c2gnaCFoKF1xjyhHQBT5g95t2+tHQBS4Nh3AyaJHQB+5c5yIK9FldX1xkChoHV1xkX1xkihoIGghaCJLAXVhaCNdcZMoRz/T9wMsL13nRz/vnWX3KsRPRz/sbeOdyaoDZWgYfXGUaCZHP3iTdLxqfvpzaCdoIWgoXXGVKEdAAB3ucFl+LEdAJPmhJQ97P0dAJwrGKkSna2V1fXGWKGgdXXGXfXGYKGggaCFoIksBdWFoI11xmShHP+YEfmnoUQ1HP986y+5ViJ5HP7yQ4xGyr+tlaBh9cZpoJkc/eJN0vGp++nNoJ2ghaChdcZsoR0ARxiIUVXqXR0AUuDYdwMmiRz/3JyPbXrZnZXV9cZwoaB1dcZ19cZ4oaCBoIWgiSwF1YWgjXXGfKEc/6duJY0CXH0c/prh00Q1OR0c/2OwLS7iQKmVoGH1xoGgmRz9ok3S8an76c2gnaCFoKF1xoShHQBTftRFdEkxHP94l8sp88TlHQBQzEK6MTCRldX1xoihoHV1xo31xpChoIGghaCJLAXVhaCNdcaUoRz/Ikdpy/aOERz/ha4dNENTkRz/jifpaI7frZWgYfXGmaCZHP2iTdLxqfvpzaCdoIWgoXXGnKEc/89WQ7JSdfkdAFx1rWQX770dAH6xEnNSwTGV1fXGoKGgdXXGpfXGqKGggaCFoIksBdWFoI11xqyhHP+Ykdpy/aOFHP6a4dNENTkdHP+x2BaXcSBVlaBh9caxoJkc/aJN0vGp++nNoJ2ghaChdca0oR0AR3/DhZkQ2Rz/eJfLKfPE5R0AnEV2qHmUuZXV9ca4oaB1dca99cbAoaCBoIWgiSwF1YWgjXXGxKEc/07cSxoEuPkc/4WuHTRDU5Ec/vE/S0R2/WWVoGH1xsmgmRz9ok3S8an76c2gnaCFoKF1xsyhHP//Uoaxv1dpHQBcda1kF++9HP/byZ9yQyFJldX1xtChoHV1xtX1xtihoIGghaCJLAXVhaCNdcbcoRz/ept+oRrCURz/C9aHYLHxgRz/ewpoDdtf5ZWgYfXG4aCZHv7eNT987ZFpzaCdoIWgoXXG5KEdACL59t9ccTEc/+ShcnVP+u0dAGO5pyhX8hGV1fXG6KGgdXXG7fXG8KGggaCFoIksBdWFoI11xvShHP+CskCvcp7ZHP+S9aHYLHxhHP+Cesv5ElARlaBh9cb5oJke/t41P3ztkWnNoJ2ghaChdcb8oR0AK67ThLVcMR0AbhSNTsyyLR0Aa8OuBSv/tZXV9ccAoaB1dccF9ccIoaCBoIWgiSwF1YWgjXXHDKEc/lZIFe5T2yEc/wvWh2Cx8YEc/72FNAbtr/GVoGH1xxGgmR7+3jU/fO2Rac2gnaCFoKF1xxShHP8FpuUqx1f9HP/koXJ1T/rtHQClvCjfjPV5ldX1xxihoHV1xx31xyChoIGghaCJLAXVhaCNdcckoRz/vU2/UI1hKRz/kvWh2Cx8YRz+T1l/IkoB2ZWgYfXHKaCZHv7eNT987ZFpzaCdoIWgoXXHLKEdAGUnLgiyq/EdAG4UjU7Msi0c/0BQNuagbRmV1fXHMKGgdXXHNfXHOKGggaCFoIksBdWFoI11xzyhHP95rLeDj2wZHP9hpTo2spmdHP+BR/yDc71plaBh9cdBoJke/t0vGp++dsnNoJ2ghaChdcdEoR0AIjk1NiR6rR0AQMib/JJw5R0AadJWGjHUYZXV9cdIoaB1dcdN9cdQoaCBoIWgiSwF1YWgjXXHVKEc/4MppD44SfUc/7DSnRtZTM0c/31wBvkYhTWVoGH1x1mgmR7+3S8an752yc2gnaCFoKF1x1yhHQAsb5Ut7VK1HQCK2mZXBZIpHQBlqv8TUh1lldX1x2ChoHV1x2X1x2ihoIGghaCJLAXVhaCNdcdsoRz+ZTSHxwk+bRz/YaU6NrKZnRz+Ef8g3O9ZwZWgYfXHcaCZHv7dLxqfvnbJzaCdoIWgoXXHdKEc/xGy/75GwBEdAEDIm/yScOUc/wJ1cG37b5GV1fXHeKGgdXXHffXHgKGggaCFoIksBdWFoI11x4ShHP+81lvBx7YNHP+w0p0bWUzNHP++uAN8jEKZlaBh9ceJoJke/t0vGp++dsnNoJ2ghaChdceMoR0AZMbNNBawsR0AitpmVwWSKR0AprTU1QoLIZXV9ceQoaB1dceV9ceYoaCBoIWgiSwF1YWgjXXHnKEc/yTW/1W2FP0c/0j2cF84n7Ec/2ZSMfv7joGVoGH1x6GgmR79wYk3S8an8c2gnaCFoKF1x6ShHP/RZ35HmTztHQAg0Le+gOM5HQBS7o6YpDoxldX1x6ihoHV1x631x7ChoIGghaCJLAXVhaCNdce0oRz/pspAKpJ6wRz/pHs4L5xP2Rz/jNbnAgI4wZWgYfXHuaCZHv3BiTdLxqfxzaCdoIWgoXXHvKEdAFL6haAil3UdAIKqRkhckokdAHyOxpTft5GV1fXHwKGgdXXHxfXHyKGggaCFoIksBdWFoI11x8yhHP9NlIBVJPWFHP9I9nBfOJ+xHP+zKRj9/cdBlaBh9cfRoJke/cGJN0vGp/HNoJ2ghaChdcfUoRz//UFMHHiQeR0AINC3voDjOR0AnVacl7MZiZXV9cfYoaB1dcfd9cfgoaCBoIWgiSwF1YWgjXXH5KEc/5k1v9VthUEc/6R7OC+cT9kc/ua3OBARxf2VoGH1x+mgmR79wYk3S8an8c2gnaCFoKF1x+yhHQBIBBIq6sKVHQCCqkZIXJKJHP/TQG/4dvq5ldX1x/ChoHV1x/X1x/ihoIGghaCJLAXVhaCNdcf8oRz/IlNUOuq3mRz/PSHd9j/ixRz/i7vvxUpMgZWgYfXIAAQAAaCZHP3BiTdLxqfxzaCdoIWgoXXIBAQAAKEc/89f4jLfY5UdABMFH7UKAw0dAHrEFa7wLvWV1fXICAQAAKGgdXXIDAQAAfXIEAQAAKGggaCFoIksBdWFoI11yBQEAAChHP+nayrxRVIZHP+fSHd9j/ixHP9oiCB1a2cBlaBh9cgYBAABoJkc/cGJN0vGp/HNoJ2ghaChdcgcBAAAoR0AU3xspVENyR0Afm7Ai/209R0AVLk/fpPCzZXV9cggBAAAoaB1dcgkBAAB9cgoBAAAoaCBoIWgiSwF1YWgjXXILAQAAKEc/07WVeKKpDUc/z0h3fY/4sUc/t3ffipSY/2VoGH1yDAEAAGgmRz9wYk3S8an8c2gnaCFoKF1yDQEAAChHP//SOgxMmnNHQATBR+1CgMNHP/MFaxguNhRldX1yDgEAAChoHV1yDwEAAH1yEAEAAChoIGghaCJLAXVhaCNdchEBAAAoRz/IEfmnoUQzRz/vnWX3KsRPRz/Y28c7k1QFZWgYfXISAQAAaCZHv1BiTdLxqfxzaCdoIWgoXXITAQAAKEc/825VuFF3AkdAJPmhJQ97P0dAFCXhrtjQnmV1fXIUAQAAKGgdXXIVAQAAfXIWAQAAKGggWAEAAABQchcBAABoIksBdWFoI11yGAEAAChHP+/t/lWF7mxHP5GMb2SRz/dHP9R2kjhRVTJlaBh9chkBAABoJkc/cGJN0vGp/HNoJ2oXAQAAaChdchoBAAAoR0AZxpAV/8UARz/HSRVov0KnR0AQleTv8TQBZXV9chsBAAAoaB1dchwBAAB9ch0BAAAoaCBqFwEAAGgiSwF1YWgjXXIeAQAAKEc/YgGqehGT/Ec/4IxjeySOgEc/5cS249dVZ2VoGH1yHwEAAGgmR79gYk3S8an8c2gnahcBAABoKF1yIAEAAChHP40SbQTpWCxHQBX1VNekJvJHQCGkuC235DhldX1yIQEAAChoHV1yIgEAAH1yIwEAAChoIGoXAQAAaCJLAXVhaCNdciQBAAAoRz/gEgGqehGURz+RjG9kkc/3Rz/qO0kcKKqZZWgYfXIlAQAAaCZHv2BiTdLxqfxzaCdqFwEAAGgoXXImAQAAKEdACfIruYcjBEc/x0kVaL9Cp0dAJULHytDZHGV1fXInAQAAKGgdXXIoAQAAfXIpAQAAKGggahcBAABoIksBdWFoI11yKgEAAChHP9/b/KsL3NhHP+CMY3skjoBHP8cS249dVZxlaBh9cisBAABoJke/YGJN0vGp/HNoJ2oXAQAAaChdciwBAAAoR0AJuAbffVBUR0AV9VTXpCbyR0ACs4trfpRvZXV9ci0BAAAoaB1dci4BAAB9ci8BAAAoaCBqFwEAAGgiSwF1YWgjXXIwAQAAKEc/6q/RfuM07kc/6GyhaPDaSEc/adxKGFIGXWVoGH1yMQEAAGgmRz9wYk3S8an8c2gnahcBAABoKF1yMgEAAChHQBWLEw6/8L1HQCA0W4ERUfRHP6T1yRSV2nJldX1yMwEAAChoHV1yNAEAAH1yNQEAAChoIGoXAQAAaCJLAXVhaCNdcjYBAAAoRz/FQLoEcyxIRz/Q2ULR4bSQRz/v5iO15636ZWgYfXI3AQAAaCZHP3BiTdLxqfxzaCdqFwEAAGgoXXI4AQAAKEc/8SgY9wkjvUdABltVq4juF0dAKdq03JvoXmV1fXI5AQAAKGgdXXI6AQAAfXI7AQAAKGggahcBAABoIksBdWFoI11yPAEAAChHP+VQLoEcyxJHP+hsoWjw2khHP+AZ3EoYUgZlaBh9cj0BAABoJkc/cGJN0vGp/HNoJ2oXAQAAaChdcj4BAAAoR0ARNJLkA2XFR0AgNFuBEVH0R0AaGZY32ansZXV9cj8BAAAoaB1dckABAAB9ckEBAAAoaCBqFwEAAGgiSwF1YWgjXXJCAQAAKEc/1V+i/cZp3Ec/0NlC0eG0kEc/38xHa89b82VoGH1yQwEAAGgmRz9wYk3S8an8c2gnahcBAABoKF1yRAEAAChHQAFBDND9p85HQAZbVauI7hdHQBnFvxOHUoNldX1yRQEAAChoHV1yRgEAAH1yRwEAAChoIFgBAAAAS3JIAQAAaCJLAXVhaCNdckkBAAAoRz/MQfhy7d4/Rz/qFJ7d/B8gRz/kAipRuC6FZWgYfXJKAQAAaCZHv4iTdLxqfvpzaCdqSAEAAGgoXXJLAQAAKEc/9s+3jqCbukdAIU2oMntsGEdAIDeL7wSTH2V1fXJMAQAAKGgdXXJNAQAAfXJOAQAAKGggakgBAABoIksBdWFoI11yTwEAAChHP+cQfhy7d5BHP9QpPbv4PkBHP+v91a5H0XtlaBh9clABAABoJke/iJN0vGp++nNoJ2pIAQAAaChdclEBAAAoR0ASnnqJ6UPFR0AKwIhxMVaqR0Amr/QJhCo1ZXV9clIBAAAoaB1dclMBAAB9clQBAAAoaCBqSAEAAGgiSwF1YWgjXXJVAQAAKEc/0d8DxokQ4Ec/6hSe3fwfIEc/wAipRuC6FWVoGH1yVgEAAGgmR7+Ik3S8an76c2gnakgBAABoKF1yVwEAAChHP/zaewpj151HQCFNqDJ7bBhHP/n9tOFioB1ldX1yWAEAAChoHV1yWQEAAH1yWgEAAChoIGpIAQAAaCJLAXVhaCNdclsBAAAoRz/mgaWXKNEFRz+yN4ov7zD7Rz+6xjje7rhaZWgYfXJcAQAAaCZHv4iTdLxqfvpzaCdqSAEAAGgoXXJdAQAAKEdAEisqH2bpm0c/6CwgCKZLpEc/9bNjrptoXWV1fXJeAQAAKGgdXXJfAQAAfXJgAQAAKGggakgBAABoIksBdWFoI11yYQEAAChHP8oGllyjRBJHP+JG8UX95h9HP9lOcchEUeplaBh9cmIBAABoJkc/aJN0vGp++nNoJ2pIAQAAaChdcmMBAAAoRz/1AnXklzMRR0AYQJAtcvZQR0AUgtG6CaQhZXV9cmQBAAAoaB1dcmUBAAB9cmYBAAAoaCBqSAEAAGgiSwF1YWgjXXJnAQAAKEc/0vy00a5d90c/4kbxRf3mH0c/7Kc45CIo9WVoGH1yaAEAAGgmRz9ok3S8an76c2gnakgBAABoKF1yaQEAAChHP/6nvLRtQEdHQBhAkC1y9lBHQCc5Pi/dES1ldX1yagEAAChoHV1yawEAAH1ybAEAAChoIGpIAQAAaCJLAXVhaCNdcm0BAAAoRz/pflpo1y77Rz+yN4ov7zD7Rz/jWMcb3dcLZWgYfXJuAQAAaCZHP2iTdLxqfvpzaCdqSAEAAGgoXXJvAQAAKEdAFJR701xs50c/6CwgCKZLpEdAH1yDkVdYT2V1fXJwAQAAKGgdXXJxAQAAfXJyAQAAKGggakgBAABoIksBdWFoI11ycwEAAChHP+jvgeNEiHBHP9QpPbv4PkBHP9f7q1yPovZlaBh9cnQBAABoJkc/aJN0vGp++nNoJ2pIAQAAaChdcnUBAAAoR0AUISto2hK9R0AKwIhxMVaqR0ATcD1tV9YxZXV9cnYBAAAoaB1dcncBAAB9cngBAAAoaCBYAQAAAFZyeQEAAGgiSwF1YWgjXXJ6AQAAKEc/36CBX5EKKUc/cJoOiYWlRkc/1/c19zLR5GVoGH1yewEAAGgmR79gYk3S8an8c2gnankBAABoKF1yfAEAAChHQAmIAnDQaFVHP6YHd8uuzH1HQBNsoFGThTpldX1yfQEAAChoHV1yfgEAAH1yfwEAAChoIGp5AQAAaCJLAXVhaCNdcoABAAAoRz/gL79QN3rsRz/gITQdEwtLRz/kBGUEZpcOZWgYfXKBAQAAaCZHv2BiTdLxqfxzaCdqeQEAAGgoXXKCAQAAKEdACiIwKDQLA0dAFWcbG/WKdkdAIDlafOa7m2V1fXKDAQAAKGgdXXKEAQAAfXKFAQAAKGggankBAABoIksBdWFoI11yhgEAAChHP3ffqBu9dcJHP3CaDomFpUZHP+v7mvuZaPJlaBh9cocBAABoJke/YGJN0vGp/HNoJ2p5AQAAaChdcogBAAAoRz+jRbbsdFWnRz+mB3fLrsx9R0AmriV7ogG5ZXV9cokBAAAoaB1dcooBAAB9cosBAAAoaCBqeQEAAGgiSwF1YWgjXXKMAQAAKEc/0Q4xxvd1w0c/0GaR2l2EFUc/z4a4a2vey2VoGH1yjQEAAGgmR79gYk3S8an8c2gnankBAABoKF1yjgEAAChHP/uJVbVHanJHQAXDJiLX86ZHQAmNXmQ+1p1ldX1yjwEAAChoHV1ykAEAAH1ykQEAAChoIGp5AQAAaCJLAXVhaCNdcpIBAAAoRz/neOcchEUfRz/oM0jtLsIKRz/oHlHlJQhNZWgYfXKTAQAAaCZHv1BiTdLxqfxzaCdqeQEAAGgoXXKUAQAAKEdAEvLD3zBfEEdAIA5PnuUTV0dAI4xTDKDIkGV1fXKVAQAAKGgdXXKWAQAAfXKXAQAAKGggankBAABoIksBdWFoI11ymAEAAChHP83jnHIRFHpHP9BmkdpdhBVHP+fhrhra97NlaBh9cpkBAABoJke/UGJN0vGp/HNoJ2p5AQAAaChdcpoBAAAoRz/4INzjvQjmR0AFwyYi1/OmR0AjWyzr5/TEZXV9cpsBAAAoaB1dcpwBAAB9cp0BAAAoaCBqeQEAAGgiSwF1YWgjXXKeAQAAKEc/6IcY43u64Uc/6DNI7S7CCkc/0DyjykoQmmVoGH1ynwEAAGgmR79QYk3S8an8c2gnankBAABoKF1yoAEAAChHQBPM4hOS93JHQCAOT57lE1dHQApR9uciJdJldX1yoQEAAChoHV1yogEAAH1yowEAAChoIGp5AQAAaCJLAXVhaCNdcqQBAAAoRz/v0ECvyIUURz/gITQdEwtLRz/AEZQRmlw3ZWgYfXKlAQAAaCZHv2BiTdLxqfxzaCdqeQEAAGgoXXKmAQAAKEdAGa6N3qlRAEdAFWcbG/WKdkc/+gwpUHPj9GV1ZXVYBgAAAHRhcmdldHKnAQAARz/31JUYKpkwdS5QSwcIg2H1i/IgAADyIAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAaAAYAbWItbXAtZ2FwLTA5MTU1Mi9ieXRlb3JkZXJGQgIAWlpsaXR0bGVQSwcIhT3jGQYAAAAGAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAYADQAbWItbXAtZ2FwLTA5MTU1Mi92ZXJzaW9uRkIwAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjMKUEsHCNGeZ1UCAAAAAgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAJwApAG1iLW1wLWdhcC0wOTE1NTIvLmRhdGEvc2VyaWFsaXphdGlvbl9pZEZCJQBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMDYzNjQ1NzczNzk0NjQwMTA1MTMwMDAwMDAyMDg1MzExMDkyMTMxOVBLBwi3Fcq2KAAAACgAAABQSwECAAAAAAgIAAAAAAAAg2H1i/IgAADyIAAAGQAAAAAAAAAAAAAAAAAAAAAAbWItbXAtZ2FwLTA5MTU1Mi9kYXRhLnBrbFBLAQIAAAAACAgAAAAAAACFPeMZBgAAAAYAAAAaAAAAAAAAAAAAAAAAAEIhAABtYi1tcC1nYXAtMDkxNTUyL2J5dGVvcmRlclBLAQIAAAAACAgAAAAAAADRnmdVAgAAAAIAAAAYAAAAAAAAAAAAAAAAAJYhAABtYi1tcC1nYXAtMDkxNTUyL3ZlcnNpb25QSwECAAAAAAgIAAAAAAAAtxXKtigAAAAoAAAAJwAAAAAAAAAAAAAAAAASIgAAbWItbXAtZ2FwLTA5MTU1Mi8uZGF0YS9zZXJpYWxpemF0aW9uX2lkUEsGBiwAAAAAAAAAHgMtAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAACoBAAAAAAAAuCIAAAAAAABQSwYHAAAAAOIjAAAAAAAAAQAAAFBLBQYAAAAABAAEACoBAAC4IgAAAAA=" | ./matbench_mp_gap/mb-mp-gap-091552 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTAxODY4OC9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQBAaKTiIh6NHgAAAAAAAAABHQBAaKTiIh6NlXXENKEfAEBopOIiHo0dAEBopOIiHo0cAAAAAAAAAAGVdcQ4oR8AQGik4iIejRwAAAAAAAAAAR0AQGik4iIejZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAFsWds27wrlgBAAAAYnESR0AWxZ2zbvCuWAEAAABjcRNHQBbFnbNu8K5YBQAAAGFscGhhcRRHQE3///////9YBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAXgAAAAAAAVgGAAAAdm9sdW1lcRdHQGBO/EKv9D91WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABCYXEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHAAAAAAAAAABHAAAAAAAAAABHgAAAAAAAAABlaBh9cSVYBgAAAG1hZ21vbXEmRwAAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAAQmFxKFgDAAAAeHl6cSldcSooRwAAAAAAAAAARwAAAAAAAAAARwAAAAAAAAAAZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/4AAAAAAAAEcAAAAAAAAAAEc/4AAAAAAAAGVoGH1xL2gmRwAAAAAAAAAAc2gnWAIAAABCYXEwaCldcTEoRwAAAAAAAAAARwAAAAAAAAAAR0AQGik4iIejZXV9cTIoaB1dcTN9cTQoaCBYAgAAAFRhcTVoIksBdWFoI11xNihHP9AAAAAAAABHP+AAAAAAAABHP9AAAAAAAABlaBh9cTdoJkeAAAAAAAAAAHNoJ1gCAAAAVGFxOGgpXXE5KEfAABopOIiHo0dAABopOIiHo0dAABopOIiHo2V1fXE6KGgdXXE7fXE8KGggWAIAAABDb3E9aCJLAXVhaCNdcT4oRz/oAAAAAAAARz/gAAAAAAAARz/oAAAAAAAAZWgYfXE/aCZHgAAAAAAAAABzaCdYAgAAAENvcUBoKV1xQShHwAAaKTiIh6NHQAAaKTiIh6NHQBgnPdTMy3RldX1xQihoHV1xQ31xRChoIFgBAAAAT3FFaCJLAXVhaCNdcUYoRz/gBlsjZzhIRz/gAAAAAAAARz/gBlsjZzhIZWgYfXFHaCZHAAAAAAAAAABzaCdoRWgpXXFIKEfAABopOIiHo0dAABopOIiHo0dAECCOwGlHl2V1fXFJKGgdXXFKfXFLKGggaEVoIksBdWFoI11xTChHP+/5pNyYx7hHP+AAAAAAAABHP+/5pNyYx7hlaBh9cU1oJkcAAAAAAAAAAHNoJ2hFaCldcU4oR8AAGik4iIejR0AAGik4iIejR0AgFvZ0mCepZXV9cU8oaB1dcVB9cVEoaCBoRWgiSwF1YWgjXXFSKEc/4AZbI2c4SEc/WWyNnOEhw0c/7/mk3JjHuGVoGH1xU2gmRwAAAAAAAAAAc2gnaEVoKV1xVChHwAAaKTiIh6VHP3mWH4L/03pHQBgnPdTMy3RldX1xVShoHV1xVn1xVyhoIGhFaCJLAXVhaCNdcVgoRz/v+aTcmMe4Rz/v80m5MY9vRz/gBlsjZzhIZWgYfXFZaCZHAAAAAAAAAABzaCdoRWgpXXFaKEfAABopOIiHoUdAEBPDsKfHrkdAGCc91MzLdGV1fXFbKGgdXXFcfXFdKGggaEVoIksBdWFoI11xXihHP+AGWyNnOEhHP+AAAAAAAABHP+/5pNyYx7hlaBh9cV9oJkcAAAAAAAAAAHNoJ2hFaCldcWAoR8AQE8Owp8evR0AAGik4iIejR0AYJz3UzMt0ZXV9cWEoaB1dcWJ9cWMoaCBoRWgiSwF1YWgjXXFkKEc/7/mk3JjHuEc/4AAAAAAAAEc/4AZbI2c4SGVoGH1xZWgmRwAAAAAAAAAAc2gnaEVoKV1xZihHv3mWH4L/0ABHQAAaKTiIh6NHQBgnPdTMy3RldWV1WAYAAAB0YXJnZXRxZ0c/91YEGJN0vnUuUEsHCLMkSNm8BgAAvAYAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgA8AG1iLW1wLWdhcC0wMTg2ODgvYnl0ZW9yZGVyRkI4AFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpabGl0dGxlUEsHCIU94xkGAAAABgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGAA0AG1iLW1wLWdhcC0wMTg2ODgvdmVyc2lvbkZCMABaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlozClBLBwjRnmdVAgAAAAIAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAACcAKQBtYi1tcC1nYXAtMDE4Njg4Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRGQiUAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjA2MzY0NTc3Mzc5NDY0MDEwNTEzMDAwMDAwMjYwMDU5MTI1MzcwOTBQSwcIQumnnCgAAAAoAAAAUEsBAgAAAAAICAAAAAAAALMkSNm8BgAAvAYAABkAAAAAAAAAAAAAAAAAAAAAAG1iLW1wLWdhcC0wMTg2ODgvZGF0YS5wa2xQSwECAAAAAAgIAAAAAAAAhT3jGQYAAAAGAAAAGgAAAAAAAAAAAAAAAAAMBwAAbWItbXAtZ2FwLTAxODY4OC9ieXRlb3JkZXJQSwECAAAAAAgIAAAAAAAA0Z5nVQIAAAACAAAAGAAAAAAAAAAAAAAAAACWBwAAbWItbXAtZ2FwLTAxODY4OC92ZXJzaW9uUEsBAgAAAAAICAAAAAAAAELpp5woAAAAKAAAACcAAAAAAAAAAAAAAAAAEggAAG1iLW1wLWdhcC0wMTg2ODgvLmRhdGEvc2VyaWFsaXphdGlvbl9pZFBLBgYsAAAAAAAAAB4DLQAAAAAAAAAAAAQAAAAAAAAABAAAAAAAAAAqAQAAAAAAALgIAAAAAAAAUEsGBwAAAADiCQAAAAAAAAEAAABQSwUGAAAAAAQABAAqAQAAuAgAAAAA" | ./matbench_mp_gap/mb-mp-gap-018688 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-055872 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-102134 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-075982 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-095963 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-003945 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA1ODM1Ni9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHAAAAAAAAAABHQAeOusi+SlNHQAeOusi+SlNlXXENKEdAB466yL5KU0cAAAAAAAAAAEdAB466yL5KU2VdcQ4oR0AHjrrIvkpTR0AHjrrIvkpTRwAAAAAAAAAAZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAEKherB1nk1gBAAAAYnESR0AQqF6sHWeTWAEAAABjcRNHQBCoXqwdZ5NYBQAAAGFscGhhcRRHQE4AAAAAAAFYBAAAAGJldGFxFUdATgAAAAAAAVgFAAAAZ2FtbWFxFkdATgAAAAAAAVgGAAAAdm9sdW1lcRdHQEmIt414jOF1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABMaXEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP8//95yEL6VHP8//95yEL6VHP8//95yEL6VlaBh9cSVYBgAAAG1hZ21vbXEmR7+MrAgxJul5c1gFAAAAbGFiZWxxJ1gCAAAATGlxKFgDAAAAeHl6cSldcSooRz/3jrSb0uBGRz/3jrSb0uBGRz/3jrSb0uBGZXV9cSsoaB1dcSx9cS0oaCBYAgAAAE1ucS5oIksBdWFoI11xLyhHP+gAAhje9BdHP+gAAhje9BdHP+gAAhje9BdlaBh9cTBoJkdAAkGJN0vGqHNoJ1gCAAAATW5xMWgpXXEyKEdAEasNocmSQkdAEasNocmSQkdAEasNocmSQmV1fXEzKGgdXXE0fXE1KGggWAIAAABJcnE2aCJLAXVhaCNdcTcoRwAAAAAAAAAARwAAAAAAAAAARwAAAAAAAAAAZWgYfXE4aCZHv8AgxJul41RzaCdYAgAAAElycTloKV1xOihHAAAAAAAAAABHAAAAAAAAAABHAAAAAAAAAABldX1xOyhoHV1xPH1xPShoIGg2aCJLAXVhaCNdcT4oRz/gAAAAAAAARz/gAAAAAAAARz/gAAAAAAAAZWgYfXE/aCZHv8AgxJul41RzaCdYAgAAAElycUBoKV1xQShHQAeOusi+SlNHQAeOusi+SlNHQAeOusi+SlNldWV1WAYAAAB0YXJnZXRxQkcAAAAAAAAAAHUuUEsHCBBDmRoQBAAAEAQAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgAoAG1iLW1wLWdhcC0wNTgzNTYvYnl0ZW9yZGVyRkIkAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWmxpdHRsZVBLBwiFPeMZBgAAAAYAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABgANABtYi1tcC1nYXAtMDU4MzU2L3ZlcnNpb25GQjAAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMwpQSwcI0Z5nVQIAAAACAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAnACkAbWItbXAtZ2FwLTA1ODM1Ni8uZGF0YS9zZXJpYWxpemF0aW9uX2lkRkIlAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlowNjM2NDU3NzM3OTQ2NDAxMDUxMzAwMDAwMDEzMDMxNTU3NjU5NTM3UEsHCEck7dYoAAAAKAAAAFBLAQIAAAAACAgAAAAAAAAQQ5kaEAQAABAEAAAZAAAAAAAAAAAAAAAAAAAAAABtYi1tcC1nYXAtMDU4MzU2L2RhdGEucGtsUEsBAgAAAAAICAAAAAAAAIU94xkGAAAABgAAABoAAAAAAAAAAAAAAAAAYAQAAG1iLW1wLWdhcC0wNTgzNTYvYnl0ZW9yZGVyUEsBAgAAAAAICAAAAAAAANGeZ1UCAAAAAgAAABgAAAAAAAAAAAAAAAAA1gQAAG1iLW1wLWdhcC0wNTgzNTYvdmVyc2lvblBLAQIAAAAACAgAAAAAAABHJO3WKAAAACgAAAAnAAAAAAAAAAAAAAAAAFIFAABtYi1tcC1nYXAtMDU4MzU2Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRQSwYGLAAAAAAAAAAeAy0AAAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAKgEAAAAAAAD4BQAAAAAAAFBLBgcAAAAAIgcAAAAAAAABAAAAUEsFBgAAAAAEAAQAKgEAAPgFAAAAAA==" | ./matbench_mp_gap/mb-mp-gap-058356 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-103049 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-074949 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-057438 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-014954 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-034769 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-101852 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA5OTU3NS9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQA3QVCtQZclHAAAAAAAAAABHAAAAAAAAAABlXXENKEcAAAAAAAAAAEdAG3KyO6b1IkcAAAAAAAAAAGVdcQ4oRwAAAAAAAAAARwAAAAAAAAAAR0AiSdEjSK9xZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdADdBUK1BlyVgBAAAAYnESR0AbcrI7pvUiWAEAAABjcRNHQCJJ0SNIr3FYBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAVoAAAAAAAFgGAAAAdm9sdW1lcRdHQG068vNPnst1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABBc3EhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP9AAAAAAAABHP9qwAtzUK+dHP9aRamCb9xdlaBh9cSVYBgAAAG1hZ21vbXEmRwAAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAAQXNxKFgDAAAAeHl6cSldcSooRz/t0FQrUGXJR0AG5CoZVWgJR0AJy7YfSmoOZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/6AAAAAAAAEc/4qf+kZXqDUc/5LdKz7IEdWVoGH1xL2gmRwAAAAAAAAAAc2gnWAIAAABBc3EwaCldcTEoR0AGXD8gfExXR0AQAJ0u/EEeR0AXrcc27CnbZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/0AAAAAAAAEc/7VgBbmoV80c/wt0rPsgR0mVoGH1xNmgmRwAAAAAAAAAAc2gnWAIAAABBc3E3aCldcTgoRz/t0FQrUGXJR0AZK24qfi6VRz/1j9hOjemnZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/6AAAAAAAAEc/tT/0jK9QZUc/60i1ME37i2VoGH1xPWgmRwAAAAAAAAAAc2gnWAIAAABBc3E+aCldcT8oR0AGXD8gfExXRz/iOiCJRjRjR0AfL6wy7eR4ZXV9cUAoaB1dcUF9cUIoaCBoIWgiSwF1YWgjXXFDKEc/6AAAAAAAAEc/vs2o6sVbPkc/3UuxjwO+e2VoGH1xRGgmRwAAAAAAAAAAc2gnWAIAAABBc3FFaCldcUYoR0AGXD8gfExXRz/qa+7BQmRAR0AQvigELV7iZXV9cUcoaB1dcUh9cUkoaCBoIWgiSwF1YWgjXXFKKEc/0AAAAAAAAEc/7CZK4qdUmEc/4VonOH4gwmVoGH1xS2gmRwAAAAAAAAAAc2gnWAIAAABBc3FMaCldcU0oRz/t0FQrUGXJR0AYJTRjfqiaR0AT1XpCZAAAZXV9cU4oaB1dcU99cVAoaCBoIWgiSwF1YWgjXXFRKEc/6AAAAAAAAEc/49m1HViraEc/paJzh+IMJGVoGH1xUmgmRwAAAAAAAAAAc2gnWAIAAABBc3FTaCldcVQoR0AGXD8gfExXR0ARBtb1+8cZRz/YupHxtQjzZXV9cVUoaB1dcVZ9cVcoaCBoIWgiSwF1YWgjXXFYKEc/0AAAAAAAAEc/2EyVxU6pMEc/7qXYx4HfPmVoGH1xWWgmRwAAAAAAAAAAc2gnWAIAAABBc3FaaCldcVsoRz/t0FQrUGXJR0AE17aLVlwSR0Ahg/yTuwcqZXV9cVwoaB1dcV19cV4oaCBYAgAAAFpycV9oIksBdWFoI11xYChHP9AAAAAAAABHP9FziI3YmzdHP+UuB7q0cWFlaBh9cWFoJkcAAAAAAAAAAHNoJ1gCAAAAWnJxYmgpXXFjKEc/7dBUK1BlyUc//fAQAq942kdAGDV/jUi18GV1fXFkKGgdXXFlfXFmKGggaF9oIksBdWFoI11xZyhHP+gAAAAAAABHP+dGO7kTsmRHP9Wj8IqXHT1laBh9cWhoJkcAAAAAAAAAAHNoJ1gCAAAAWnJxaWgpXXFqKEdABlw/IHxMV0dAE/auOvsW60dACLxFcpFR42V1fXFrKGgdXXFsfXFtKGggaF9oIksBdWFoI11xbihHP9AAAAAAAABHP+i5xEbsTZxHP+rR+EVLjp9laBh9cW9oJkcAAAAAAAAAAHNoJ1gCAAAAWnJxcGgpXXFxKEc/7dBUK1BlyUdAFTVdHn9YyEdAHqfz3JFYY2V1fXFyKGgdXXFzfXF0KGggaF9oIksBdWFoI11xdShHP+gAAAAAAABHP80Y7uROyZJHP8S4HurRxYVlaBh9cXZoJkcAAAAAAAAAAHNoJ1gCAAAAWnJxd2gpXXF4KEdABlw/IHxMV0c/+PVUdJ5xakc/9665qAAZ/GV1ZXVYBgAAAHRhcmdldHF5RwAAAAAAAAAAdS5QSwcIBKhyUMkHAADJBwAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAaAC8AbWItbXAtZ2FwLTA5OTU3NS9ieXRlb3JkZXJGQisAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWmxpdHRsZVBLBwiFPeMZBgAAAAYAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABgANABtYi1tcC1nYXAtMDk5NTc1L3ZlcnNpb25GQjAAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMwpQSwcI0Z5nVQIAAAACAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAnACkAbWItbXAtZ2FwLTA5OTU3NS8uZGF0YS9zZXJpYWxpemF0aW9uX2lkRkIlAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlowNjM2NDU3NzM3OTQ2NDAxMDUxMzAwMDAwMDE2NTYyMzU2MTgyNzk4UEsHCEbXLEcoAAAAKAAAAFBLAQIAAAAACAgAAAAAAAAEqHJQyQcAAMkHAAAZAAAAAAAAAAAAAAAAAAAAAABtYi1tcC1nYXAtMDk5NTc1L2RhdGEucGtsUEsBAgAAAAAICAAAAAAAAIU94xkGAAAABgAAABoAAAAAAAAAAAAAAAAAGQgAAG1iLW1wLWdhcC0wOTk1NzUvYnl0ZW9yZGVyUEsBAgAAAAAICAAAAAAAANGeZ1UCAAAAAgAAABgAAAAAAAAAAAAAAAAAlggAAG1iLW1wLWdhcC0wOTk1NzUvdmVyc2lvblBLAQIAAAAACAgAAAAAAABG1yxHKAAAACgAAAAnAAAAAAAAAAAAAAAAABIJAABtYi1tcC1nYXAtMDk5NTc1Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRQSwYGLAAAAAAAAAAeAy0AAAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAKgEAAAAAAAC4CQAAAAAAAFBLBgcAAAAA4goAAAAAAAABAAAAUEsFBgAAAAAEAAQAKgEAALgJAAAAAA==" | ./matbench_mp_gap/mb-mp-gap-099575 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA5NjMyOS9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQBu2lkEfhQFHAAAAAAAAAABHAAAAAAAAAABlXXENKEcAAAAAAAAAAEdAIaCdc0Ltu0fACCX3x80zpWVdcQ4oRwAAAAAAAAAARz+zdNU/DC9jR0AmoQjn2xsZZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAG7aWQR+FAVgBAAAAYnESR0Aioe5JmwV0WAEAAABjcRNHQCahKlzEp+9YBQAAAGFscGhhcRRHQFshUSkpBVpYBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAVoAAAAAAAFgGAAAAdm9sdW1lcRdHQIWj/3R0M0F1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABBZ3EhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP6JdHhM7cRpHP+SYJ6mSNSFHP+2TexHEIq9laBh9cSVYBgAAAG1hZ21vbXEmRwAAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAAQWdxKFgDAAAAeHl6cSldcSooRz/PzrJqR36PR0AW+FSNTnfDR0AhB5eRjZjEZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/4TYdo6nox0c/dvgpnNxvLEc/6QJiti2j/WVoGH1xL2gmRwAAAAAAAAAAc2gnWAIAAABBZ3EwaCldcTEoR0ANz7s2uAQ2Rz+729na1DaQR0AhptQjsMLGZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/6AAAAAAAAEc/2EREnb7CSEc/07DFenMNv2VoGH1xNmgmRwAAAAAAAAAAc2gnWAIAAABBZ3E3aCldcTgoR0AUyPCw16PBR0AK7AXHhZXtR0ACsT4bKT5PZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/o2HaOp6Mc0c/79IPrMZHIkc/y/Z1J0lwDGVoGH1xPWgmRwAAAAAAAAAAc2gnWAIAAABBZ3E+aCldcT8oRz/QySesw/mpR0Ahj89qC12sR7/g9JLcj0lYZXV9cUAoaB1dcUF9cUIoaCBoIWgiSwF1YWgjXXFDKEc/4SXR4TO3Ekc/1s+wrNuVvUc/s2Qncd7qh2VoGH1xRGgmRwAAAAAAAAAAc2gnWAIAAABBZ3FFaCldcUYoR0ANs4Fnw/zrR0AJLXNcZyjgR7/MAybpcqUIZXV9cUcoaB1dcUh9cUkoaCBoIWgiSwF1YWgjXXFKKEc/3ZPEuKwuckc/79IPrMZHIkc/y/Z1J0lwDGVoGH1xS2gmRwAAAAAAAAAAc2gnWAIAAABBZ3FMaCldcU0oR0AJnXFLhwXMR0Ahj89qC12sR7/g9JLcj0lYZXV9cU4oaB1dcU99cVAoaCBoIWgiSwF1YWgjXXFRKEc/0AAAAAAAAEc/493dsSCe3Ec/5iedQsZ5IWVoGH1xUmgmRwAAAAAAAAAAc2gnWAIAAABBZ3FTaCldcVQoRz/7tpZBH4UBR0AWGQtXv0E+R0AX1nbeOv05ZXV9cVUoaB1dcVZ9cVcoaCBoIWgiSwF1YWgjXXFYKEc/kqdH2AXl80c/5rhPEWAkrkc/3XSQavG7b2VoGH1xWWgmRwAAAAAAAAAAc2gnWAIAAABBZ3FaaCldcVsoRz/AJ5Oc+ImxR0AZK7gugV9sR0AIg4uQbJweZXV9cVwoaB1dcV19cV4oaCBoIWgiSwF1YWgjXXFfKEc/3bRcPZiR3Uc/5JgnqZI1IUc/7ZN7EcQir2VoGH1xYGgmRwAAAAAAAAAAc2gnWAIAAABBZ3FhaCldcWIoR0AJuasaew0YR0AW+FSNTnfDR0AhB5eRjZjEZXV9cWMoaB1dcWR9cWUoaCBoIWgiSwF1YWgjXXFmKEc/3tWLgn+hoUc/5rhPEWAkrkc/3XSQavG7b2VoGH1xZ2gmRwAAAAAAAAAAc2gnWAIAAABBZ3FoaCldcWkoR0AKtB0HT/xmR0AZK7gugV9sR0AIg4uQbJweZXV9cWooaB1dcWt9cWwoaCBoIWgiSwF1YWgjXXFtKEc/7touHsxI7kc/1s+wrNuVvUc/s2Qncd7qh2VoGH1xbmgmRwAAAAAAAAAAc2gnWAIAAABBZ3FvaCldcXAoR0AauCCtzUkMR0AJLXNcZyjgR7/MAybpcqUIZXV9cXEoaB1dcXJ9cXMoaCBoIWgiSwF1YWgjXXF0KEc/7sniXFYXOUc/dvgpnNxvLEc/6QJiti2j/WVoGH1xdWgmRwAAAAAAAAAAc2gnWAIAAABBZ3F2aCldcXcoR0AaqgPGU0VnRz+729na1DaQR0AhptQjsMLGZXV9cXgoaB1dcXl9cXooaCBoIWgiSwF1YWgjXXF7KEc/0AAAAAAAAEc/5fJPPVT1JUc/zBo8AOIoKWVoGH1xfGgmRwAAAAAAAAAAc2gnWAIAAABBZ3F9aCldcX4oRz/7tpZBH4UBR0AYPtlvUo49Rz/afXw9lvGIZXV9cX8oaB1dcYB9cYEoaCBoIWgiSwF1YWgjXXGCKEc/72rFwT/Q0Ec/0o9h3T+2pEc/4UW3yociSWVoGH1xg2gmRwAAAAAAAAAAc2gnWAIAAABBZ3GEaCldcYUoR0AbNVmkN8CzR0AExqwaAVmQR0AU7VAjmU5RZXV9cYYoaB1dcYd9cYgoaCBoIWgiSwF1YWgjXXGJKEc/6AAAAAAAAEc/1BthhVYVtkc/6Plw/8d19mVoGH1ximgmRwAAAAAAAAAAc2gnWAIAAABBZ3GLaCldcYwoR0AUyPCw16PBR0AGoGmYXvvtR0Afhz4n9i1HZXV9cY0oaB1dcY59cY8oaCBoIWgiSwF1YWgjXXGQKEc/4JU6PsAvMEc/0o9h3T+2pEc/4UW3yociSWVoGH1xkWgmRwAAAAAAAAAAc2gnWAIAAABBZ3GSaCldcZMoR0AMuQ967w2dR0AExqwaAVmQR0AU7VAjmU5RZXV9cZQoaB1dcZV9cZYoaCBYAQAAAFBxl2giSwF1YWgjXXGYKEc/0AAAAAAAAEc/10JqKBHs50c/1LSSblcgo2VoGH1xmWgmRwAAAAAAAAAAc2gnaJdoKV1xmihHP/u2lkEfhQFHQAnSaRFgRdVHQASB+Z4tMhRldX1xmyhoHV1xnH1xnShoIGiXaCJLAXVhaCNdcZ4oRz/oAAAAAAAARz/kXsrr9wmMRz/lpbbI1G+uZWgYfXGfaCZHAAAAAAAAAABzaCdol2gpXXGgKEdAFMjwsNejwUdAFqXZstHpSUdAFu4ZHLkDVWV1fXGhKGgdXXGifXGjKGggaJdoIksBdWFoI11xpChHP9AAAAAAAABHP9OmB8bI0cBHP+mPNMvkmnRlaBh9caVoJkcAAAAAAAAAAHNoJ2iXaCldcaYoRz/7tpZBH4UBR0AGIfiyET3eR0AgOJksgxq1ZXV9cacoaB1dcah9cakoaCBol2giSwF1YWgjXXGqKEc/6AAAAAAAAEc/5iz8HJuXIEc/ycMs0G2WMWVoGH1xq2gmRwAAAAAAAAAAc2gnaJdoKV1xrChHQBTI8LDXo8FHQBh+EeJ5bURHP8e8clks3qBldX1xrShoHV1xrn1xryhoIFgBAAAASXGwaCJLAXVhaCNdcbEoRz/oAAAAAAAARz+qrGjUKeNTRz/iQPDbn85nZWgYfXGyaCZHAAAAAAAAAABzaCdosGgpXXGzKEdAFMjwsNejwUc/4BSffMhmx0dAGS/7KoxmGGV1fXG0KGgdXXG1fXG2KGggaLBoIksBdWFoI11xtyhHP9AAAAAAAABHP+zw0yw3a3xHP+87ZdHr8H9laBh9cbhoJkcAAAAAAAAAAHNoJ2iwaCldcbkoRz/7tpZBH4UBR0AgFy1M8dz/R0AgoEROhPuuZXV9cbooaB1dcbt9cbwoaCBosGgiSwF1YWgjXXG9KEc/6AAAAAAAAEc/uHlmnkSkH0c/mJNFwoHwMGVoGH1xvmgmRwAAAAAAAAAAc2gnaLBoKV1xvyhHQBTI8LDXo8FHP+sFnQzykapHv5FysTpa+tBldX1xwChoHV1xwX1xwihoIGiwaCJLAXVhaCNdccMoRz/QAAAAAAAARz/uVTlyvWHLRz/bfh5IwGMyZWgYfXHEaCZHAAAAAAAAAABzaCdosGgpXXHFKEc/+7aWQR+FAUdAIMY9JfR/rUc///xrBQzZHmV1fXHGKGgdXXHHfXHIKGggWAEAAABPccloIksBdWFoI11xyihHP9vXgGS/R1NHP9gcsgekjxZHP+wCDXu+kkxlaBh9cctoJkcAAAAAAAAAAHNoJ2jJaCldccwoR0AIHLC6EWWeR0ALGMU0at5GR0AhiBc3Z6GfZXV9cc0oaB1dcc59cc8oaCBoyWgiSwF1YWgjXXHQKEc/0AAAAAAAAEc/4DFIYe6HiEc/3ENHXTa81mVoGH1x0WgmRwAAAAAAAAAAc2gnaMloKV1x0ihHP/u2lkEfhQFHQBH5R1lQD6dHQAvAyjLSIshldX1x0yhoHV1x1H1x1ShoIGjJaCJLAXVhaCNdcdYoRz/oAAAAAAAARz/kxc/oixlORz/UyPdVNpM6ZWgYfXHXaCZHAAAAAAAAAABzaCdoyWgpXXHYKEdAFMjwsNejwUdAFvv53JGdBkc/+3EIwInNHGV1fXHZKGgdXXHafXHbKGggaMloIksBdWFoI11x3ChHP9AAAAAAAABHP8DyZfkDNpZHP+ikgouLDhFlaBh9cd1oJkcAAAAAAAAAAHNoJ2jJaCldcd4oRz/7tpZBH4UBRz/zm2V6Ja/3R0AgoH3M0sD3ZXV9cd8oaB1dceB9ceEoaCBoyWgiSwF1YWgjXXHiKEc/0AAAAAAAAEc/1nRgLunNZEc/5ZuEVWS2Y2VoGH1x42gmRwAAAAAAAAAAc2gnaMloKV1x5ChHP/u2lkEfhQFHQAkmKL3g3lxHQBpS07utKRhldX1x5ShoHV1x5n1x5yhoIGjJaCJLAXVhaCNdcegoRz/t9MV/JaUARz/ndyQDlWDQRz/llDtF/DigZWgYfXHpaCZHAAAAAAAAAABzaCdoyWgpXXHqKEdAGfFzbt9gH0dAGg6fx2TS7EdAFapn3EF/BGV1fXHrKGgdXXHsfXHtKGggaMloIksBdWFoI11x7ihHP+gAAAAAAABHP+vDZoG/MlpHP81t9dHTx75laBh9ce9oJkcAAAAAAAAAAHNoJ2jJaCldcfAoR0AUyPCw16PBR0AeqDTc+KA2R7+R5a3V5Y2AZXV9cfEoaB1dcfJ9cfMoaCBoyWgiSwF1YWgjXXH0KEc/4hQ/zaBcVkc/4/Gm/C24dUc/v++UIgttnGVoGH1x9WgmRwAAAAAAAAAAc2gnaMloKV1x9ihHQA9Qe8gtpGNHQBYCq6FMnRBHv94RiC/6bfBldX1x9yhoHV1x+H1x+ShoIGjJaCJLAXVhaCNdcfooRz+wof5tAuKzRz/YHLIHpI8WRz/sAg17vpJMZWgYfXH7aCZHAAAAAAAAAABzaCdoyWgpXXH8KEc/3M8sOHD7F0dACxjFNGreRkdAIYgXN2ehn2V1fXH9KGgdXXH+fXH/KGggaMloIksBdWFoI11yAAEAAChHP+gAAAAAAABHP+LviuJxpLNHP+mP81KdhrllaBh9cgEBAABoJkcAAAAAAAAAAHNoJ2jJaCldcgIBAAAoR0AUyPCw16PBR0AVGsSG63ApR0AdAiVrntZwZXV9cgMBAAAoaB1dcgQBAAB9cgUBAAAoaCBoyWgiSwF1YWgjXXIGAQAAKEc/0AAAAAAAAEc/2iDqOxy2mkc/ycAytYnlHGVoGH1yBwEAAGgmRwAAAAAAAAAAc2gnaMloKV1yCAEAAChHP/u2lkEfhQFHQAzok2ktOBRHP/CzwgDDF7hldX1yCQEAAChoHV1yCgEAAH1yCwEAAChoIGjJaCJLAXVhaCNdcgwBAAAoRz/t68AyX6OqRz/j8ab8Lbh1Rz+/75QiC22cZWgYfXINAQAAaCZHAAAAAAAAAABzaCdoyWgpXXIOAQAAKEdAGemjfZh1UEdAFgKroUydEEe/3hGIL/pt8GV1fXIPAQAAKGgdXXIQAQAAfXIRAQAAKGggaMloIksBdWFoI11yEgEAAChHP9vpiv5LSgBHP9ERt/jVPmBHP9TXiXQHjsBlaBh9chMBAABoJkcAAAAAAAAAAHNoJ2jJaCldchQBAAAoR0AILFCcnzs9R0ADANzoOnKPR0AHCVwfHDq1ZXV9chUBAAAoaB1dchYBAAB9chcBAAAoaCBoyWgiSwF1YWgjXXIYAQAAKEc/6AAAAAAAAEc/351vPCLw8Uc/4d5cUWShlWVoGH1yGQEAAGgmRwAAAAAAAAAAc2gnaMloKV1yGgEAAChHQBTI8LDXo8FHQBGVxuIx/IxHQBNOsNJmivxldX1yGwEAAChoHV1yHAEAAH1yHQEAAChoIGjJaCJLAXVhaCNdch4BAAAoRz/iCzqA2lsARz/ndyQDlWDQRz/llDtF/DigZWgYfXIfAQAAaCZHAAAAAAAAAABzaCdoyWgpXXIgAQAAKEdAD0Db5Z/OxUdAGg6fx2TS7EdAFapn3EF/BGV1fXIhAQAAKGgdXXIiAQAAfXIjAQAAKGggaMloIksBdWFoI11yJAEAAChHP7BZ1AbS1/9HP9ERt/jVPmBHP9TXiXQHjsBlaBh9ciUBAABoJkcAAAAAAAAAAHNoJ2jJaCldciYBAAAoRz/cUi0kAk4iR0ADANzoOnKPR0AHCVwfHDq1ZXVldVgGAAAAdGFyZ2V0cicBAABHP+YuscQyylh1LlBLBwh9XHNexBQAAMQUAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABoANABtYi1tcC1nYXAtMDk2MzI5L2J5dGVvcmRlckZCMABaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpsaXR0bGVQSwcIhT3jGQYAAAAGAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAYADQAbWItbXAtZ2FwLTA5NjMyOS92ZXJzaW9uRkIwAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjMKUEsHCNGeZ1UCAAAAAgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAJwApAG1iLW1wLWdhcC0wOTYzMjkvLmRhdGEvc2VyaWFsaXphdGlvbl9pZEZCJQBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMDYzNjQ1NzczNzk0NjQwMTA1MTMwMDAwMDAxNzYyOTI5MTkwMDU2NFBLBwhp7u7bKAAAACgAAABQSwECAAAAAAgIAAAAAAAAfVxzXsQUAADEFAAAGQAAAAAAAAAAAAAAAAAAAAAAbWItbXAtZ2FwLTA5NjMyOS9kYXRhLnBrbFBLAQIAAAAACAgAAAAAAACFPeMZBgAAAAYAAAAaAAAAAAAAAAAAAAAAABQVAABtYi1tcC1nYXAtMDk2MzI5L2J5dGVvcmRlclBLAQIAAAAACAgAAAAAAADRnmdVAgAAAAIAAAAYAAAAAAAAAAAAAAAAAJYVAABtYi1tcC1nYXAtMDk2MzI5L3ZlcnNpb25QSwECAAAAAAgIAAAAAAAAae7u2ygAAAAoAAAAJwAAAAAAAAAAAAAAAAASFgAAbWItbXAtZ2FwLTA5NjMyOS8uZGF0YS9zZXJpYWxpemF0aW9uX2lkUEsGBiwAAAAAAAAAHgMtAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAACoBAAAAAAAAuBYAAAAAAABQSwYHAAAAAOIXAAAAAAAAAQAAAFBLBQYAAAAABAAEACoBAAC4FgAAAAA=" | ./matbench_mp_gap/mb-mp-gap-096329 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-105239 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-086267 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-069279 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-011745 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-048128 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-017427 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-006878 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-103098 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-031101 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-014147 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-009632 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-008077 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-023320 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-054294 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-062554 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-003383 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-029293 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-025230 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-029910 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-092054 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-009308 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-024076 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-006954 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-056240 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-096912 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-020988 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-103925 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-012737 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-010485 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-047588 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-056276 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-055095 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-022656 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-087444 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-013456 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-029079 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-035269 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-049202 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-037284 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-074819 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-023800 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-021584 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-033383 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-055709 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA4NjQ2Ni9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQBSq7T/e6C1HAAAAAAAAAABHQAfdb5zF8+tlXXENKEc/+46Rq2ObhkdAE3xVZg377EdAB91vnMXz62VdcQ4oRwAAAAAAAAAARwAAAAAAAAAAR0AX3W+cGid0ZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAF91vnCmXylgBAAAAYnESR0AX3W+cetumWAEAAABjcRNHQBfdb5waJ3RYBQAAAGFscGhhcRRHQE3////L9G1YBAAAAGJldGFxFUdATf///5OiGlgFAAAAZ2FtbWFxFkdATf///6tVdVgGAAAAdm9sdW1lcRdHQGLFf6sW6Ad1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAEAAABPcSFYBAAAAG9jY3VxIksBdWFYAwAAAGFiY3EjXXEkKEc/z8EGRROFbkc/6A+/oL9SvEc/6A++CLm38mVoGH1xJVgFAAAAbGFiZWxxJmghWAMAAAB4eXpxJ11xKChHQASdXvHUdrRHQA1NrgkkcD9HQB3giXssntdldX1xKShoHV1xKn1xKyhoIGghaCJLAXVhaCNdcSwoRz/PwQZFE4VuRz/oD7+gv1K8Rz/PwQlKK509ZWgYfXEtaCZoIWgnXXEuKEdABJ1e8dR2tEdADU2uCSRwP0dAEdpW5fz9EWV1fXEvKGgdXXEwfXExKGggaCFoIksBdWFoI11xMihHP+gPuxkbLwVHP8/BEdiai1xHP+gPvtoa6Q9laBh9cTNoJmghaCddcTQoR0ARP+Dr3JPLRz/zVgN738pDR0Ad4Il7LJ7RZXV9cTUoaB1dcTZ9cTcoaCBoIWgiSwF1YWgjXXE4KEc/z8EJiphJ40c/z8ER2JqLXEc/6A+9XO1A4WVoGH1xOWgmaCFoJ11xOihHP/tYWv0XHgVHP/NWA3vfykNHQBfdcDJqBXpldX1xOyhoHV1xPH1xPShoIGghaCJLAXVhaCNdcT4oRz/oD7sZGy8FRz/PwRHYmotcRz/PwQyPsGGyZWgYfXE/aCZoIWgnXXFAKEdAET/g69yTy0c/81YDe9/KQ0dAEdpW5fz9DGV1fXFBKGgdXXFCfXFDKGggaCFoIksBdWFoI11xRChHP+gPvl6f83tHP+gPv6C/UrxHP8/BBxvTGkRlaBh9cUVoJmghaCddcUYoR0AUuHxJqLiKR0ANTa4JJHA/R0AX3XAwwBWYZXV9cUcoaB1dcUh9cUkoaCBYAgAAAE5pcUpoIksBdWFoI11xSyhHP9///hzQ8R9HP9///7+TU1lHP+AAAVI6implaBh9cUxoJlgCAAAATmlxTWgnXXFOKEdAC46QZMbPHUdAA3xVPtMkXkdAF91wMpVNEGV1fXFPKGgdXXFQfXFRKGggWAIAAABCYXFSaCJLAXVhaCNdcVMoRz/P//s37y+jRz/QAAQxvegtRz/P//+/k1NZZWgYfXFUaCZYAgAAAEJhcVVoJ11xVihHP/uOkGJ3B3VHP/N8WoG3YmpHQAfdcDCUzfVldX1xVyhoHV1xWH1xWShoIGhSaCJLAXVhaCNdcVooRz/n//3cZER4Rz/oAAH+BwF8Rz/oAAFCH19BZWgYfXFbaCZYAgAAAEJhcVxoJ11xXShHQBSq7EwpDUhHQA06goY4pCtHQCHmFCZwGZhldX1xXihoHV1xX31xYChoIFgBAAAAVXFhaCJLAXVhaCNdcWIoRwAAAAAAAAAARwAAAAAAAAAARwAAAAAAAAAAZWgYfXFjaCZoYWgnXXFkKEcAAAAAAAAAAEcAAAAAAAAAAEcAAAAAAAAAAGV1ZXVYBgAAAHRhcmdldHFlRz/6H4oJAt4AdS5QSwcIUnF78jEGAAAxBgAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAaAAcAbWItbXAtZ2FwLTA4NjQ2Ni9ieXRlb3JkZXJGQgMAWlpabGl0dGxlUEsHCIU94xkGAAAABgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGAA0AG1iLW1wLWdhcC0wODY0NjYvdmVyc2lvbkZCMABaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlozClBLBwjRnmdVAgAAAAIAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAACcAKQBtYi1tcC1nYXAtMDg2NDY2Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRGQiUAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjA2MzY0NTc3Mzc5NDY0MDEwNTEzMDAwMDAwMjc3MTI0NzAzNTkyODdQSwcICvN5iygAAAAoAAAAUEsBAgAAAAAICAAAAAAAAFJxe/IxBgAAMQYAABkAAAAAAAAAAAAAAAAAAAAAAG1iLW1wLWdhcC0wODY0NjYvZGF0YS5wa2xQSwECAAAAAAgIAAAAAAAAhT3jGQYAAAAGAAAAGgAAAAAAAAAAAAAAAACBBgAAbWItbXAtZ2FwLTA4NjQ2Ni9ieXRlb3JkZXJQSwECAAAAAAgIAAAAAAAA0Z5nVQIAAAACAAAAGAAAAAAAAAAAAAAAAADWBgAAbWItbXAtZ2FwLTA4NjQ2Ni92ZXJzaW9uUEsBAgAAAAAICAAAAAAAAArzeYsoAAAAKAAAACcAAAAAAAAAAAAAAAAAUgcAAG1iLW1wLWdhcC0wODY0NjYvLmRhdGEvc2VyaWFsaXphdGlvbl9pZFBLBgYsAAAAAAAAAB4DLQAAAAAAAAAAAAQAAAAAAAAABAAAAAAAAAAqAQAAAAAAAPgHAAAAAAAAUEsGBwAAAAAiCQAAAAAAAAEAAABQSwUGAAAAAAQABAAqAQAA+AcAAAAA" | ./matbench_mp_gap/mb-mp-gap-086466 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-080281 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA1NjQzMS9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQBbXfW0TKNJHP2x4NhycmNJHP6tg/hyl/gFlXXENKEc/9vGzNiLRvEdAGuK9jL3pBEdACe7HRybbC2VdcQ4oRz9iEdBiAql+Rz+eldG478sqR0AfKDeA9bPMZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAFte/VhY32FgBAAAAYnESR0AeZS2XyZN7WAEAAABjcRNHQB8oRpj1cfpYBQAAAGFscGhhcRRHQFAh7/RmELNYBAAAAGJldGFxFUdAVlyds1XhhVgFAAAAZ2FtbWFxFkdAU7brFpbv0lgGAAAAdm9sdW1lcRdHQHKmFK71mmF1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAEAAABWcSFYBAAAAG9jY3VxIksBdWFYAwAAAGFiY3EjXXEkKEc/5iVB7mHy5Ec/zSExUwk8akc/6TP5BjuuV2VoGH1xJVgGAAAAbWFnbW9tcSZHP7DlYEGJN0xzWAUAAABsYWJlbHEnaCFYAwAAAHh5enEoXXEpKEdAER6zTNS+oEc/+OOT0/J5G0dAG6NUZJkQlmV1fXEqKGgdXXErfXEsKGggaCFoIksBdWFoI11xLShHP9O1fCM8GjhHP+i3s6s9sOZHP8swG+cRRqRlaBh9cS5oJkc/sOVgQYk3THNoJ2ghaChdcS8oR0AG7vJPpr3tR0AUy/1wPc4cR0AQswi8KVy4ZXV9cTAoaB1dcTF9cTIoaCBoIWgiSwF1YWgjXXEzKEc/5ot5JS/lS0c/y9fZ26kIokc/0EBBpA8+YWVoGH1xNGgmRz+9si0OVgQZc2gnaCFoKF1xNShHQBFXssWfOehHP/eNwmZ6QlVHQAXD7WadDYxldX1xNihoHV1xN31xOChoIGghaCJLAXVhaCNdcTkoRz/S6Q21oDVqRz/pCgmJFb3XRz/n398t+GDPZWgYfXE6aCZHP72yLQ5WBBlzaCdoIWgoXXE7KEdABnzzXhHHXUdAFSFxy5vbzEdAILozNrnzRGV1fXE8KGgdXXE9fXE+KGggWAIAAABGZXE/aCJLAXVhaCNdcUAoRz/GdXUMnHCPRz/UajkOlG1gRz/ehp7gVWrBZWgYfXFBaCZHQBFpeNT987ZzaCdYAgAAAEZlcUJoKF1xQyhHP/dd6Z6cD0VHQAFFYk4d8ipHQBMI05dTk/VldX1xRChoHV1xRX1xRihoIGg/aCJLAXVhaCNdcUcoRz/qYqK82OPcRz/lyuN4tclQRz/gvLCP1UqgZWgYfXFIaCZHQBFpeNT987ZzaCdYAgAAAEZlcUloKF1xSihHQBa+sg0BGcVHQBJiMT4rc01HQBlNiYlu2VhldX1xSyhoHV1xTH1xTShoIFgCAAAAQWdxTmgiSwF1YWgjXXFPKEc/6nbbHfNbAUc/5UZjK55pYkc/ouIDlba2CmVoGH1xUGgmRz98rAgxJul5c2gnWAIAAABBZ3FRaChdcVIoR0AWtEeeNMgoR0AR5AHnHpvqR0AD5KVO2D7vZXV9cVMoaB1dcVR9cVUoaCBoTmgiSwF1YWgjXXFWKEc/xiSTiDKT/Ec/1XM5qMMtPEc/7tHfxqSUn2VoGH1xV2gmRz98rAgxJul5c2gnWAIAAABBZ3FYaChdcVkoRz/3h5NZzVW7R0ACQcD8N6DxR0AhMgU8qybrZXV9cVooaB1dcVt9cVwoaCBYAQAAAE9xXWgiSwF1YWgjXXFeKEc/7Lb+hFTj3Uc/14/L5XEzdEc/5HAutsywR2VoGH1xX2gmRz+7ItDlYEGJc2gnaF1oKF1xYChHQBadOLhG8qRHQAP5PYLsLztHQBjdia7CPJlldX1xYShoHV1xYn1xYyhoIGhdaCJLAXVhaCNdcWQoRz+6SAvdWOEYRz/kOBoNR2ZGRz/XH6KSZp9xZWgYfXFlaCZHP7si0OVgQYlzaCdoXWgoXXFmKEc/9+PO8YSrzUdAEQhDo8RUxUdAE3jTcgAwtGV1fXFnKGgdXXFofXFpKGggaF1oIksBdWFoI11xaihHP+2JoXmM3stHP9YN9sNrTy5HP9GD6i/fFdBlaBh9cWtoJkc/qyLQ5WBBiXNoJ2hdaChdcWwoR0AXECuIi1g5R0ACnu1GbYGIR0AKYqHBIOH+ZXV9cW0oaB1dcW59cW8oaCBoXWgiSwF1YWgjXXFwKEc/s7L0M5kJp0c/5PkEnkpYaUc/5z4K6BB1GGVoGH1xcWgmRz+rItDlYEGJc2gnaF1oKF1xcihHP/YYA7BzFXVHQBG1a8IDq55HQB8lDEAx/E5ldX1xcyhoHV1xdH1xdShoIGhdaCJLAXVhaCNdcXYoRz/o+L+PIZuGRz/vG2VREpcxRz/Z9kZtzY3oZWgYfXF3aCZHP7FocrAgxJxzaCdoXWgoXXF4KEdAF2eJ9h0O/EdAGjHbNlH1gkdAGWkYAbZ6bGV1fXF5KGgdXXF6fXF7KGggaF1oIksBdWFoI11xfChHP8wdAcN5kedHP5yTVd2tGdRHP+ME3MkZOQxlaBh9cX1oJkc/sWhysCDEnHNoJ2hdaChdcX4oRz/0uon6LDpkRz/KYOXdDtvvR0AS7UUfC/LiZXV9cX8oaB1dcYB9cYEoaCBoXWgiSwF1YWgjXXGCKEc/5Z9RA3246Ec/0EuulKhuHkc/g3qmZFhEOmVoGH1xg2gmRz90euFHrhR7c2gnaF1oKF1xhChHQBDlDAMmcKVHP/tssfQ4yPFHP+3wWmxcDVlldX1xhShoHV1xhn1xhyhoIGhdaCJLAXVhaCNdcYgoRz/UwV35BI4vRz/n2ii1q8jxRz/vshVmbp7vZWgYfXGJaCZHP3R64UeuFHtzaCdoXWgoXXGKKEdAB2JA4wNZ4kdAFCm16Cw6JUdAJEwo6Zt10WV1fXGLKGgdXXGMfXGNKGggaF1oIksBdWFoI11xjihHP9ur4tzZikpHP9SrXt4xzwVHP9NWh7aYLQhlaBh9cY9oJkc/sWhysCDEnHNoJ2hdaChdcZAoR0AHdlyfDLBjR0ABc0FFtkyiR0ALY4muOwHrZXV9cZEoaB1dcZJ9cZMoaCBoXWgiSwF1YWgjXXGUKEc/4ioOkZM620c/5apQkOcYfUc/5lS8JLPpfGVoGH1xlWgmRz+xaHKwIMScc2gnaF1oKF1xlihHQBDa/iUhxWVHQBJLQcJfRhFHQB6kmEmk7FhldX1xlyhoHV1xmH1xmShoIGhdaCJLAXVhaCNdcZooRz/aMHR8fqutRz/TfvnFqUIDRz/lkhwMUBp1ZWgYfXGbaCZHP7BiTdLxqfxzaCdoXWgoXXGcKEdABjNbI04apUdAAI10uUd6AEdAGQo6t+8Ss2V1fXGdKGgdXXGefXGfKGggaF1oIksBdWFoI11xoChHP+LnxcHAqipHP+ZAgx0rXv5HP9Tbx+dfyxdlaBh9caFoJkc/sGJN0vGp/HNoJ2hdaChdcaIoR0ARfH7jARBER0ASvigIlq9hR0ATTCJo01qbZXV9caMoaB1dcaR9caUoaCBoXWgiSwF1YWgjXXGmKEc/6T6o19ALG0c/75eV88e4Zkc/6u0GCAHXG2VoGH1xp2gmRz+OuFHrhR64c2gnaF1oKF1xqChHQBewr/lBh3xHQBqnjoZMWnNHQCOX3iAqKthldX1xqShoHV1xqn1xqyhoIGhdaCJLAXVhaCNdcawoRz/LBVygv9OVRz+KGoMOEeaHRz/ES+ff+KOVZWgYfXGtaCZHP464UeuFHrhzaCdoXWgoXXGuKEc/85Xx7ZpYbEc/t1T3u4R70kc/9JqDgbheeWV1ZXVYBgAAAHRhcmdldHGvRz/5U47zTWoWdS5QSwcIaQzhYQcMAAAHDAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAaADEAbWItbXAtZ2FwLTA1NjQzMS9ieXRlb3JkZXJGQi0AWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpabGl0dGxlUEsHCIU94xkGAAAABgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGAA0AG1iLW1wLWdhcC0wNTY0MzEvdmVyc2lvbkZCMABaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlozClBLBwjRnmdVAgAAAAIAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAACcAKQBtYi1tcC1nYXAtMDU2NDMxLy5kYXRhL3NlcmlhbGl6YXRpb25faWRGQiUAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjA2MzY0NTc3Mzc5NDY0MDEwNTEzMDAwMDAwMTg0ODk2OTUwOTU4MTVQSwcI0X72digAAAAoAAAAUEsBAgAAAAAICAAAAAAAAGkM4WEHDAAABwwAABkAAAAAAAAAAAAAAAAAAAAAAG1iLW1wLWdhcC0wNTY0MzEvZGF0YS5wa2xQSwECAAAAAAgIAAAAAAAAhT3jGQYAAAAGAAAAGgAAAAAAAAAAAAAAAABXDAAAbWItbXAtZ2FwLTA1NjQzMS9ieXRlb3JkZXJQSwECAAAAAAgIAAAAAAAA0Z5nVQIAAAACAAAAGAAAAAAAAAAAAAAAAADWDAAAbWItbXAtZ2FwLTA1NjQzMS92ZXJzaW9uUEsBAgAAAAAICAAAAAAAANF+9nYoAAAAKAAAACcAAAAAAAAAAAAAAAAAUg0AAG1iLW1wLWdhcC0wNTY0MzEvLmRhdGEvc2VyaWFsaXphdGlvbl9pZFBLBgYsAAAAAAAAAB4DLQAAAAAAAAAAAAQAAAAAAAAABAAAAAAAAAAqAQAAAAAAAPgNAAAAAAAAUEsGBwAAAAAiDwAAAAAAAAEAAABQSwUGAAAAAAQABAAqAQAA+A0AAAAA" | ./matbench_mp_gap/mb-mp-gap-056431 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-022917 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-102342 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA3NjU5Mi9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHAAAAAAAAAABHQA2anC3IkCdHAAAAAAAAAABlXXENKEcAAAAAAAAAAEcAAAAAAAAAAEdAJNSahv9jImVdcQ4oR0Anti09T+ynRwAAAAAAAAAARwAAAAAAAAAAZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdADZqcLciQJ1gBAAAAYnESR0Ak1JqG/2MiWAEAAABjcRNHQCe2LT1P7KdYBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAVoAAAAAAAFgGAAAAdm9sdW1lcRdHQHyPDzExQIR1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABQcnEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP9AAAAAAAABHP+KrWiY8KdJHP+Z4QkEYIzdlaBh9cSVYBgAAAG1hZ21vbXEmR7+OuFHrhR64c1gFAAAAbGFiZWxxJ1gCAAAAUHJxKFgDAAAAeHl6cSldcSooR0Agpltbxht+Rz/tmpwtyJAnR0AYTkNpDpMNZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/0AAAAAAAAEc/7VSl2cPWLkc/yeEJBGCM3mVoGH1xL2gmR7+OuFHrhR64c2gnWAIAAABQcnEwaCldcTEoR0ADLRL0eJSqRz/tmpwtyJAnR0AjF8YV98stZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/6AAAAAAAAEc/2qlLs4esXEc/0w97fc+5kWVoGH1xNmgmR7+OuFHrhR64c2gnWAIAAABQcnE3aCldcTgoR0AMP0eGJ0SkR0AGM/UiVmwdR0ARWvGk8DM3ZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/6AAAAAAAAEc/tVrRMeFOj0c/6Ye9vufcyWVoGH1xPWgmR7+OuFHrhR64c2gnWAIAAABQcnE+aCldcT8oR0Ai6uiAMcd9R0AGM/UiVmwdRz/rzUcQeX9TZXV9cUAoaB1dcUF9cUIoaCBYAgAAAENvcUNoIksBdWFoI11xRChHP9AAAAAAAABHP+bShKdvGj9HP++sdoCP3VhlaBh9cUVoJkc/51wo9cKPXHNoJ1gCAAAAQ29xRmgpXXFHKEdAJ3hG1ZkcA0c/7ZqcLciQJ0dAHbZnmcGL+2V1fXFIKGgdXXFJfXFKKGggaENoIksBdWFoI11xSyhHP9AAAAAAAABHP+kte1iQ5cFHP99Y7QEfurBlaBh9cUxoJkc/51P3ztkWh3NoJ1gCAAAAQ29xTWgpXXFOKEdAFzpgbeJLYEc/7ZqcLciQJ0dAIGOz/Z5OtWV1fXFPKGgdXXFQfXFRKGggaENoIksBdWFoI11xUihHP+gAAAAAAABHP9Ja9rEhy4JHP4TiX9wIqfNlaBh9cVNoJkc/51wo9cKPXHNoJ1gCAAAAQ29xVGgpXXFVKEc/vvMz22hRyEdABjP1IlZsHUdAB+Wa6Hp0kWV1fXFWKGgdXXFXfXFYKGggaENoIksBdWFoI11xWShHP+gAAAAAAABHP8tKEp28aPxHP+BTiX9wIqhlaBh9cVpoJkc/51wo9cKPXHNoJ1gCAAAAQ29xW2gpXXFcKEdAGDH6DL2N7kdABjP1IlZsHUdAAcOaJYRRs2V1fXFdKGgdXXFefXFfKGggaENoIksBdWFoI11xYChHP9AAAAAAAABHP9nviZrz4bpHP99egoyMwMNlaBh9cWFoJkc/3Gp++dsi0XNoJ1gCAAAAQ29xYmgpXXFjKEdAFz6DtIai5Uc/7ZqcLciQJ0dAEOIGLqtD42V1fXFkKGgdXXFlfXFmKGggaENoIksBdWFoI11xZyhHP9AAAAAAAABHP7hB2ZQweRpHP++vQUZGYGJlaBh9cWhoJkc/3HrhR64Ue3NoJ1gCAAAAQ29xaWgpXXFqKEdAJ3pYeOtHx0c/7ZqcLciQJ0c/75SiwqD592V1fXFrKGgdXXFsfXFtKGggaENoIksBdWFoI11xbihHP+gAAAAAAABHP+MIOzKGDyNHP+BQvrm5n55laBh9cW9oJkc/3Gp++dsi0XNoJ1gCAAAAQ29xcGgpXXFxKEdAGC3Wxhk2aEdABjP1IlZsHUdAGMcu31OCYWV1fXFyKGgdXXFzfXF0KGggaENoIksBdWFoI11xdShHP+gAAAAAAABHP+z3xM158N1HP4Qvrm5n55tlaBh9cXZoJkc/3HrhR64Ue3NoJ1gCAAAAQ29xd2gpXXF4KEc/vepiMlJwYkdABjP1IlZsHUdAIttQWtVTg2V1fXF5KGgdXXF6fXF7KGggaENoIksBdWFoI11xfChHP9AAAAAAAABHP8xEBFFIcgpHP8ZpzEx0TNllaBh9cX1oJkc/0RaHKwIMSnNoJ1gCAAAAQ29xfmgpXXF/KEdAAJukQJ9gmEc/7ZqcLciQJ0dAAmZNzfr2DmV1fXGAKGgdXXGBfXGCKGggaENoIksBdWFoI11xgyhHP9AAAAAAAABHP9Hd/ddbxvtHP+WacxMdEzZlaBh9cYRoJkc/0TdLxqfvnnNoJ1gCAAAAQ29xhWgpXXGGKEdAIAH/rs/OeUc/7ZqcLciQJ0dAB0LnQAPQNmV1fXGHKGgdXXGIfXGJKGggaENoIksBdWFoI11xiihHP+gAAAAAAABHP+ju/uut435HP+pljOzi7MplaBh9cYtoJkc/0RaHKwIMSnNoJ1gCAAAAQ29xjGgpXXGNKEdAI49ELSgUgUdABjP1IlZsHUdAIDsHE4Cln2V1fXGOKGgdXXGPfXGQKGggaENoIksBdWFoI11xkShHP+gAAAAAAABHP+cRARRSHIJHP9TLGdnF2ZRlaBh9cZJoJkc/0RaHKwIMSnNoJ1gCAAAAQ29xk2gpXXGUKEdADtC2OgB4t0dABjP1IlZsHUdAHgfBbfzeKGV1fXGVKGgdXXGWfXGXKGggaENoIksBdWFoI11xmChHP9AAAAAAAABHP+w4VQC4YbFHP+ZJOlY9I3dlaBh9cZloJkc/qyLQ5WBBiXNoJ1gCAAAAQ29xmmgpXXGbKEdAIIOB63O3Skc/7ZqcLciQJ0dAIl6ymb4yUmV1fXGcKGgdXXGdfXGeKGggaENoIksBdWFoI11xnyhHP9AAAAAAAABHP+PHqv9Hnk9HP8kk6Vj0jdxlaBh9caBoJkc/qyLQ5WBBiXNoJ1gCAAAAQ29xoWgpXXGiKEdAAqGtMy8D2kc/7ZqcLciQJ0dAGcBqYYHEwmV1fXGjKGgdXXGkfXGlKGggaENoIksBdWFoI11xpihHP+gAAAAAAABHP749V/o88npHP9Nti1OFuRJlaBh9cadoJkc/qp++dsi0OXNoJ1gCAAAAQ29xqGgpXXGpKEdADMqtR3DVdEdABjP1IlZsHUc/868/agmGg2V1fXGqKGgdXXGrfXGsKGggaENoIksBdWFoI11xrShHP+gAAAAAAABHP9hwqgFww2JHP+m2xanC3IllaBh9ca5oJkc/q6XjU/fO2XNoJ1gCAAAAQ29xr2gpXXGwKEdAIw3B8IQrsUdABjP1IlZsHUdAD9GVWPoDA2V1fXGxKGgdXXGyfXGzKGggaENoIksBdWFoI11xtChHP9AAAAAAAABHP939Fb/ay+lHP+3cKukMyWdlaBh9cbVoJkc/rCj1wo9cKXNoJ1gCAAAAQ29xtmgpXXG3KEdAJiA9QmFHX0c/7ZqcLciQJ0dAE4VrGHuVBWV1fXG4KGgdXXG5fXG6KGggaENoIksBdWFoI11xuyhHP9AAAAAAAABHP6AXUgEpoLhHP9u4VdIZks5laBh9cbxoJkc/q6XjU/fO2XNoJ1gCAAAAQ29xvWgpXXG+KEdAFIpNR3KiF0c/7ZqcLciQJ0c/1PL26Dzhz2V1fXG/KGgdXXHAfXHBKGggaENoIksBdWFoI11xwihHP+gAAAAAAABHP+EBdSASmgxHP7EeqLeZtMdlaBh9ccNoJkc/rCj1wo9cKXNoJ1gCAAAAQ29xxGgpXXHFKEc/6V7/rupUe0dABjP1IlZsHUdAFiPJ9YMxQGV1fXHGKGgdXXHHfXHIKGggaENoIksBdWFoI11xyShHP+gAAAAAAABHP+7+it/tZfRHP+Ij1RbzNpllaBh9ccpoJkc/q6XjU/fO2XNoJ1gCAAAAQ29xy2gpXXHMKEdAGuINMy03N0dABjP1IlZsHUdAJC0Cz718E2V1fXHNKGgdXXHOfXHPKGggWAEAAABQcdBoIksBdWFoI11x0ShHP9AAAAAAAABHP9rF10T101ZHP7wOvLFLvO1laBh9cdJoJke/YGJN0vGp/HNoJ2jQaCldcdMoRz/0ylMbGlNyRz/tmpwtyJAnR0ARbYaGUJ16ZXV9cdQoaB1dcdV9cdYoaCBo0GgiSwF1YWgjXXHXKEc/0AAAAAAAAEc/tOii7Ciyp0c/44HXlil3nmVoGH1x2GgmR79gYk3S8an8c2gnaNBoKV1x2ShHQBzowgQWgYRHP+2anC3IkCdHP+s4oAV2LUJldX1x2ihoHV1x231x3ChoIGjQaCJLAXVhaCNdcd0oRz/oAAAAAAAARz/inRRdhRZVRz/sfihp1ohiZWgYfXHeaCZHv2BiTdLxqfxzaCdo0GgpXXHfKEdAJRzi2eyiOEdABjP1IlZsHUdAGDuuh64oymV1fXHgKGgdXXHhfXHiKGggaNBoIksBdWFoI11x4yhHP+gAAAAAAABHP+1i66J66atHP9j8UNOtEMVlaBh9ceRoJke/YGJN0vGp/HNoJ2jQaCldceUoR0ASg5h2iVfLR0AGM/UiVmwdR0AjIRCGqABOZXV9ceYoaB1dced9cegoaCBo0GgiSwF1YWgjXXHpKEc/0AAAAAAAAEc/0anKU8uvFkc/69YlkQknRmVoGH1x6mgmRz9QYk3S8an8c2gnaNBoKV1x6yhHQCSgZFBiCmRHP+2anC3IkCdHQAb+8TjYOipldX1x7ChoHV1x7X1x7ihoIGjQaCJLAXVhaCNdce8oRz/QAAAAAAAARz/MrGtYaKHVRz/XrEsiEk6MZWgYfXHwaCZHP1BiTdLxqfxzaCdo0GgpXXHxKEdAEYqbY3QoIkc/7ZqcLciQJ0dAAqpD1SaMGmV1fXHyKGgdXXHzfXH0KGggaNBoIksBdWFoI11x9ShHP+gAAAAAAABHP+crGtYaKHVHP8CnabvbYuhlaBh9cfZoJkc/UGJN0vGp/HNoJ2jQaCldcfcoRz/4rkdnbxIVR0AGM/UiVmwdR0AeKbxxkqkvZXV9cfgoaB1dcfl9cfooaCBo0GgiSwF1YWgjXXH7KEc/6AAAAAAAAEc/6NTlKeXXi0c/5CnabvbYumVoGH1x/GgmRz9QYk3S8an8c2gnaNBoKV1x/ShHQB3hvxcrsSxHQAYz9SJWbB1HQCAqCZG1wBxldX1x/ihoHV1x/31yAAEAAChoIGjQaCJLAXVhaCNdcgEBAAAoRz/QAAAAAAAARz/jZB/1PdorRz/ZJxmUppWrZWgYfXICAQAAaCZHP2BiTdLxqfxzaCdo0GgpXXIDAQAAKEdAEqNMU4KDX0c/7ZqcLciQJ0dAGT7R4U5sPGV1fXIEAQAAKGgdXXIFAQAAfXIGAQAAKGggaNBoIksBdWFoI11yBwEAAChHP9AAAAAAAABHP+yb4ArCJdVHP+yTjMpTStZlaBh9cggBAABoJkc/YGJN0vGp/HNoJ2jQaCldcgkBAAAoR0AlLLzIaTgDRz/tmpwtyJAnR0Ain37Z196VZXV9cgoBAAAoaB1dcgsBAAB9cgwBAAAoaCBo0GgiSwF1YWgjXXINAQAAKEc/6AAAAAAAAEc/2TfAFYRLqkc/42xzNay1KmVoGH1yDgEAAGgmRz9gYk3S8an8c2gnaNBoKV1yDwEAAChHQBzJDicdVe9HQAYz9SJWbB1HQBBqYyywWghldX1yEAEAAChoHV1yEQEAAH1yEgEAAChoIGjQaCJLAXVhaCNdchMBAAAoRz/oAAAAAAAARz+7IP+p7tFZRz+7Y5mtZalSZWgYfXIUAQAAaCZHP2BiTdLxqfxzaCdo0GgpXXIVAQAAKEc/9EuDpzWlIEdABjP1IlZsHUc/8ajdaTwkaGV1ZXVYBgAAAHRhcmdldHIWAQAARwAAAAAAAAAAdS5QSwcISwchKAATAAAAEwAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAaADgAbWItbXAtZ2FwLTA3NjU5Mi9ieXRlb3JkZXJGQjQAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWmxpdHRsZVBLBwiFPeMZBgAAAAYAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABgANABtYi1tcC1nYXAtMDc2NTkyL3ZlcnNpb25GQjAAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMwpQSwcI0Z5nVQIAAAACAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAnACkAbWItbXAtZ2FwLTA3NjU5Mi8uZGF0YS9zZXJpYWxpemF0aW9uX2lkRkIlAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlowNjM2NDU3NzM3OTQ2NDAxMDUxMzAwMDAwMDEzODA3MjExMzk4MzU1UEsHCDmzvlYoAAAAKAAAAFBLAQIAAAAACAgAAAAAAABLByEoABMAAAATAAAZAAAAAAAAAAAAAAAAAAAAAABtYi1tcC1nYXAtMDc2NTkyL2RhdGEucGtsUEsBAgAAAAAICAAAAAAAAIU94xkGAAAABgAAABoAAAAAAAAAAAAAAAAAUBMAAG1iLW1wLWdhcC0wNzY1OTIvYnl0ZW9yZGVyUEsBAgAAAAAICAAAAAAAANGeZ1UCAAAAAgAAABgAAAAAAAAAAAAAAAAA1hMAAG1iLW1wLWdhcC0wNzY1OTIvdmVyc2lvblBLAQIAAAAACAgAAAAAAAA5s75WKAAAACgAAAAnAAAAAAAAAAAAAAAAAFIUAABtYi1tcC1nYXAtMDc2NTkyLy5kYXRhL3NlcmlhbGl6YXRpb25faWRQSwYGLAAAAAAAAAAeAy0AAAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAKgEAAAAAAAD4FAAAAAAAAFBLBgcAAAAAIhYAAAAAAAABAAAAUEsFBgAAAAAEAAQAKgEAAPgUAAAAAA==" | ./matbench_mp_gap/mb-mp-gap-076592 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-060964 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-011006 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTEwNDQ3NC9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHAAAAAAAAAABHAAAAAAAAAABHQBjZWjCjCwdlXXENKEdAIy06SScQZUcAAAAAAAAAAEcAAAAAAAAAAGVdcQ4oR4AAAAAAAAAAR0AwZ0uLbrOSRwAAAAAAAAAAZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAGNlaMKMLB1gBAAAAYnESR0AjLTpJJxBlWAEAAABjcRNHQDBnS4tus5JYBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAVoAAAAAAAFgGAAAAdm9sdW1lcRdHQI6In0gOU5R1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAEAAABLcSFYBAAAAG9jY3VxIksBdWFYAwAAAGFiY3EjXXEkKEc/4AAAAAAAAEc/5oCR1gDTD0c/oB/bEbQHhGVoGH1xJVgGAAAAbWFnbW9tcSZHAAAAAAAAAABzWAUAAABsYWJlbHEnaCFYAwAAAHh5enEoXXEpKEdAGvhIwT0OiUc/4If0Rc0wlEdACNlaMKMLB2V1fXEqKGgdXXErfXEsKGggaCFoIksBdWFoI11xLShHP+AAAAAAAABHP9L+3FP+WeNHP+7+Ak7kv4hlaBh9cS5oJkcAAAAAAAAAAHNoJ2ghaChdcS8oR0AGxFeiIiSDR0AvxhfSgJQbR0AI2VowowsHZXV9cTAoaB1dcTF9cTIoaCBoIWgiSwF1YWgjXXEzKEeAAAAAAAAAAEc/ygJHWANMO0c/3fwEncl/D2VoGH1xNGgmRwAAAAAAAAAAc2gnaCFoKF1xNShHP/8sOeBX+I5HQB69mI4jwRFHAAAAAAAAAABldX1xNihoHV1xN31xOChoIGghaCJLAXVhaCNdcTkoR4AAAAAAAAAARz/pf24p/yzxRz/hAf2xG0B4ZWgYfXE6aCZHAAAAAAAAAABzaCdoIWgoXXE7KEdAHo9mGjgipkdAIW/Kz8uGm0cAAAAAAAAAAGV1fXE8KGgdXXE9fXE+KGggWAIAAABOaXE/aCJLAXVhaCNdcUAoRz/gAAAAAAAARz/hEgE/GkcpRz/i9fFI2AsZZWgYfXFBaCZHP/ztkWhysCFzaCdYAgAAAE5pcUJoKF1xQyhHQBR1ok3BBjlHQCNwWhAzzyVHQAjZWjCjCwdldX1xRChoHV1xRX1xRihoIGg/aCJLAXVhaCNdcUcoRz/gAAAAAAAARz/d2/2By3GuRz/aFB1uT+nNZWgYfXFIaCZHP/ztkWhysCFzaCdYAgAAAE5pcUloKF1xSihHQBHk0kSNGpFHQBq8eg1TL/xHQAjZWjCjCwdldX1xSyhoHV1xTH1xTShoIGg/aCJLAXVhaCNdcU4oR4AAAAAAAAAARz+hIBPxpHKRRz/tCg63J/TnZWgYfXFPaCZHP/ztkWhysCFzaCdYAgAAAE5pcVBoKF1xUShHP9SGgEmfXT5HQC3FiJIYS5FHAAAAAAAAAABldX1xUihoHV1xU31xVChoIGg/aCJLAXVhaCNdcVUoR4AAAAAAAAAARz/u7f7A5bjXRz+3r4pGwFjLZWgYfXFWaCZHP/ztkWhysCFzaCdYAgAAAE5pcVdoKF1xWChHQCKJBkbaFXtHP/hIdCYo3J5HAAAAAAAAAABldX1xWShoHV1xWn1xWyhoIGg/aCJLAXVhaCNdcVwoRz/gAAAAAAAARz+JLJm7/khwRz/W5VIpw3LcZWgYfXFdaCZHP/zpeNT987ZzaCdYAgAAAE5pcV5oKF1xXyhHP74sH7Rk7pZHQBd5IoUoFCpHQAjZWjCjCwdldX1xYChoHV1xYX1xYihoIGg/aCJLAXVhaCNdcWMoRz/gAAAAAAAARz/vm02ZEAbeRz/kjVbrHkaSZWgYfXFkaCZHP/zpeNT987ZzaCdYAgAAAE5pcWVoKF1xZihHQCLw4gm+RohHQCUSBdRJXQ9HQAjZWjCjCwdldX1xZyhoHV1xaH1xaShoIGg/aCJLAXVhaCNdcWooRwAAAAAAAAAARz/gZLJm7/kiRz/CNVuseRpIZWgYfXFraCZHP/zpeNT987ZzaCdYAgAAAE5pcWxoKF1xbShHQBOl6sf4pCBHQAKq6SNqpfVHAAAAAAAAAABldX1xbihoHV1xb31xcChoIGg/aCJLAXVhaCNdcXEoR4AAAAAAAAAARz/fNpsyIA29Rz/rcqkU4bluZWgYfXFyaCZHP/zpeNT987ZzaCdYAgAAAE5pcXNoKF1xdChHQBK0icpVfKtHQCwj3M4CvadHAAAAAAAAAABldX1xdShoHV1xdn1xdyhoIGg/aCJLAXVhaCNdcXgoRz/oA6TK0B1kRz/oEgXRezJQRz/S9uwFIVIKZWgYfXF5aCZHP/yj1wo9cKRzaCdYAgAAAE5pcXpoKF1xeyhHQBzZcUiBjL9HQBNxWx85CXFHQBKl1/xatcJldX1xfChoHV1xfX1xfihoIGg/aCJLAXVhaCNdcX8oRz/oA6TK0B1kRz/Pt+i6Eza/Rz/mhIn9b1b7ZWgYfXGAaCZHP/yj1wo9cKRzaCdYAgAAAE5pcYFoKF1xgihHQAMCBpOZKBVHQCcV6YdA4mtHQBKl1/xatcJldX1xgyhoHV1xhH1xhShoIGg/aCJLAXVhaCNdcYYoRz/n/Fs1L+KcRz/QJAui9mShRz/KEif1vVvsZWgYfXGHaCZHP/yj1wo9cKRzaCdYAgAAAE5pcYhoKF1xiShHQANYbf60+LVHQAq6d+9Iu2ZHQBKgL0yZ2slldX1xiihoHV1xi31xjChoIGg/aCJLAXVhaCNdcY0oRz/n/Fs1L+KcRz/n7fouhM2wRz/pe3YCkKkFZWgYfXGOaCZHP/yj1wo9cKRzaCdYAgAAAE5pcY9oKF1xkChHQByuPZLzpHBHQCof+RsLOEtHQBKgL0yZ2slldX1xkShoHV1xkn1xkyhoIGg/aCJLAXVhaCNdcZQoRz/P8WzUv4pvRz/Pt+i6Eza/Rz/mhIn9b1b7ZWgYfXGVaCZHP/yj1wo9cKRzaCdYAgAAAE5pcZZoKF1xlyhHQAMCBpOZKBVHQCcV6YdA4mtHP/jOCNEhVRRldX1xmChoHV1xmX1xmihoIGg/aCJLAXVhaCNdcZsoRz/P8WzUv4pvRz/oEgXRezJQRz/S9uwFIVIKZWgYfXGcaCZHP/yj1wo9cKRzaCdYAgAAAE5pcZ1oKF1xnihHQBzZcUiBjL9HQBNxWx85CXFHP/jOCNEhVRRldX1xnyhoHV1xoH1xoShoIGg/aCJLAXVhaCNdcaIoRz/QB0mVoDrIRz/n7fouhM2wRz/pe3YCkKkFZWgYfXGjaCZHP/yj1wo9cKRzaCdYAgAAAE5pcaRoKF1xpShHQByuPZLzpHBHQCof+RsLOEtHP/jkq5AkwPlldX1xpihoHV1xp31xqChoIGg/aCJLAXVhaCNdcakoRz/QB0mVoDrIRz/QJAui9mShRz/KEif1vVvsZWgYfXGqaCZHP/yj1wo9cKRzaCdYAgAAAE5pcatoKF1xrChHQANYbf60+LVHQAq6d+9Iu2ZHP/jkq5AkwPlldX1xrShoHV1xrn1xryhoIFgBAAAAUHGwaCJLAXVhaCNdcbEoRz/gAAAAAAAARz/uvbvH7L4vRz/E2eNgt/uvZWgYfXGyaCZHP4Jul41P3ztzaCdosGgoXXGzKEdAImwaTPBrkUdABWCAe4WcyUdACNlaMKMLB2V1fXG0KGgdXXG1fXG2KGggaLBoIksBdWFoI11xtyhHP+AAAAAAAABHP6QkQ4E0HRNHP+rJhyfSARRlaBh9cbhoJkc/gm6XjU/fO3NoJ2iwaChdcbkoRz/YI/+G1Jp7R0Ardnb3+//xR0AI2VowowsHZXV9cbooaB1dcbt9cbwoaCBosGgiSwF1YWgjXXG9KEeAAAAAAAAAAEc/3Xt3j9l8Xkc/1ZMOT6QCKGVoGH1xvmgmRz+CbpeNT987c2gnaLBoKF1xvyhHQBGq+lC5xr5HQBYeVtkamL9HAAAAAAAAAABldX1xwChoHV1xwX1xwihoIGiwaCJLAXVhaCNdccMoR4AAAAAAAAAARz/hQkQ4E0HRRz/lNnjYLf7sZWgYfXHEaCZHP4Jul41P3ztzaCdosGgoXXHFKEdAFK96QZRaDEdAJb9rqlAaxUcAAAAAAAAAAGV1fXHGKGgdXXHHfXHIKGggaLBoIksBdWFoI11xyShHP+AAAAAAAABHP+GA22dvT+9HP8wq26DQGbNlaBh9ccpoJkc/gm6XjU/fO3NoJ2iwaChdccsoR0AU+n63CRP+R0AM4LSFCA3zR0AI2VowowsHZXV9ccwoaB1dcc19cc4oaCBosGgiSwF1YWgjXXHPKEc/4AAAAAAAAEc/3P5JMSFgIkc/6PVJF8v5k2VoGH1x0GgmRz+CbpeNT987c2gnaLBoKF1x0ShHQBFf9dtFDMxHQCmWafWbY6dHQAjZWjCjCwdldX1x0ihoHV1x031x1ChoIGiwaCJLAXVhaCNdcdUoRwAAAAAAAAAARz+oDbZ29P7wRz/R6pIvl/MmZWgYfXHWaCZHP4Jul41P3ztzaCdosGgoXXHXKEc/3NRG3iA5k0dAEl481FlgKkcAAAAAAAAAAGV1fXHYKGgdXXHZfXHaKGggaLBoIksBdWFoI11x2yhHgAAAAAAAAABHP+5/JJiQsBFHP+cKtug0Bm1laBh9cdxoJkc/gm6XjU/fO3NoJ2iwaChdcd0oR0AiRpgSNg6YR0Ann3issLcPRwAAAAAAAAAAZXV9cd4oaB1dcd99ceAoaCBosGgiSwF1YWgjXXHhKEc/4AAAAAAAAEc/6Whs26B6M0c/3azX75Wkl2VoGH1x4mgmRz+GhysCDEm6c2gnaLBoKF1x4yhHQB5z04WtWdZHQB5sbLp7EEJHQAjZWjCjCwdldX1x5ChoHV1x5X1x5ihoIGiwaCJLAXVhaCNdcecoRz/gAAAAAAAARz/KXkyRfhcyRz/hKZQINS20ZWgYfXHoaCZHP4aHKwIMSbpzaCdosGgoXXHpKEc//5qEMoMbzUdAIZhguZ/fAkdACNlaMKMLB2V1fXHqKGgdXXHrfXHsKGggaLBoIksBdWFoI11x7ShHAAAAAAAAAABHP9LQ2bdA9GdHP6KZQINS20RlaBh9ce5oJkc/hocrAgxJunNoJ2iwaChdce8oR0AGjTJ5DJLkRz/jEVLjErcJRwAAAAAAAAAAZXV9cfAoaB1dcfF9cfIoaCBosGgiSwF1YWgjXXHzKEeAAAAAAAAAAEc/5peTJF+FzUc/7tZr98rSTGVoGH1x9GgmRz+GhysCDEm6c2gnaLBoKF1x9ShHQBsT21XH11lHQC+dgeisO7RHAAAAAAAAAABldX1x9ihoHV1x931x+ChoIFgBAAAAT3H5aCJLAXVhaCNdcfooRz/gAAAAAAAARz+/ZPdQg/v5Rz/GZeR14NfHZWgYfXH7aCZHP6ul41P3ztlzaCdo+WgoXXH8KEc/8tBSAlyAeEdABvZ+JWbAZUdACNlaMKMLB2V1fXH9KGgdXXH+fXH/KGggaPloIksBdWFoI11yAAEAAChHP+AAAAAAAABHP+wTYRXvgIFHP+pmhuKHyg5laBh9cgEBAABoJkc/q6XjU/fO2XNoJ2j5aChdcgIBAAAoR0Ag0zAI24BWR0ArEPeNg7cKR0AI2VowowsHZXV9cgMBAAAoaB1dcgQBAAB9cgUBAAAoaCBo+WgiSwF1YWgjXXIGAQAAKEcAAAAAAAAAAEc/4+ye6hB/f0c/1M0NxQ+UHWVoGH1yBwEAAGgmRz+rpeNT987Zc2gnaPloKF1yCAEAAChHQBfhTsm+MINHQBVTWAQqBvJHAAAAAAAAAABldX1yCQEAAChoHV1yCgEAAH1yCwEAAChoIGj5aCJLAXVhaCNdcgwBAAAoRwAAAAAAAAAARz/YJsIr3wECRz/lmXkdeDXyZWgYfXINAQAAaCZHP6ul41P3ztlzaCdo+WgoXXIOAQAAKEdADPJLkR/gjkdAJiTrFMhjrEcAAAAAAAAAAGV1fXIPAQAAKGgdXXIQAQAAfXIRAQAAKGggaPloIksBdWFoI11yEgEAAChHP+AAAAAAAABHP+OpREGjY3JHP+jJweA0s5FlaBh9chMBAABoJkc/qZmZmZmZmnNoJ2j5aChdchQBAAAoR0AXkJS9Zle3R0Apacm6CRdgR0AI2VowowsHZXV9chUBAAAoaB1dchYBAAB9chcBAAAoaCBo+WgiSwF1YWgjXXIYAQAAKEc/4AAAAAAAAEc/2K13fLk5HEc/zNj4fy0xvGVoGH1yGQEAAGgmRz+pmZmZmZmac2gnaPloKF1yGgEAAChHQA2Tv6nPkidHQA2TNXNRPxBHQAjZWjCjCwdldX1yGwEAAChoHV1yHAEAAH1yHQEAAChoIGj5aCJLAXVhaCNdch4BAAAoR4AAAAAAAAAARz+9SiINGxuPRz/nNj4fy0xvZWgYfXIfAQAAaCZHP6mZmZmZmZpzaCdo+WgoXXIgAQAAKEc/8Y1p0P0dRkdAJ8wY6EMDVkcAAAAAAAAAAGV1fXIhAQAAKGgdXXIiAQAAfXIjAQAAKGggaPloIksBdWFoI11yJAEAAChHgAAAAAAAAABHP+xWu75cnI5HP9GTg8BpZyJlaBh9ciUBAABoJkc/qZmZmZmZmnNoJ2j5aChdciYBAAAoR0Ag+40PB2y8R0ASBPxdNMecRwAAAAAAAAAAZXV9cicBAAAoaB1dcigBAAB9cikBAAAoaCBo+WgiSwF1YWgjXXIqAQAAKEc/5m1mux/8H0c/7TYO9ZE8KEc/viMVAvF2+2VoGH1yKwEAAGgmRz+crAgxJul5c2gnaPloKF1yLAEAAChHQCGBYhuZqAVHP/7lpSVIMSpHQBFqYiLEO11ldX1yLQEAAChoHV1yLgEAAH1yLwEAAChoIGj5aCJLAXVhaCNdcjABAAAoRz/mbWa7H/wfRz+2T4hTdh7ARz/sO51fodEhZWgYfXIxAQAAaCZHP5ysCDEm6XlzaCdo+WgoXXIyAQAAKEc/6r2C2NaF/EdALPHicjRg/0dAEWpiIsQ7XWV1fXIzAQAAKGgdXXI0AQAAfXI1AQAAKGggaPloIksBdWFoI11yNgEAAChHP+mSmUTgA+FHP9psHesieFBHP9h3Or9DokFlaBh9cjcBAABoJkc/nKwIMSbpeXNoJ2j5aChdcjgBAAAoR0APqxPcGH9LR0AZFS3Ni1rZR0AT26UmMFUtZXV9cjkBAAAoaB1dcjoBAAB9cjsBAAAoaCBo+WgiSwF1YWgjXXI8AQAAKEc/6ZKZROAD4Uc/4snxCm7D2Ec/48RioF4u32VoGH1yPQEAAGgmRz+crAgxJul5c2gnaPloKF1yPgEAAChHQBaE6qRB4SVHQCREADAXubdHQBPbpSYwVS1ldX1yPwEAAChoHV1yQAEAAH1yQQEAAChoIGj5aCJLAXVhaCNdckIBAAAoRz/TJTKJwAfCRz+2T4hTdh7ARz/sO51fodEhZWgYfXJDAQAAaCZHP5ysCDEm6XlzaCdo+WgoXXJEAQAAKEc/6r2C2NaF/EdALPHicjRg/0c//bvgN3s+pmV1fXJFAQAAKGgdXXJGAQAAfXJHAQAAKGggaPloIksBdWFoI11ySAEAAChHP9MlMonAB8JHP+02DvWRPChHP74jFQLxdvtlaBh9ckkBAABoJkc/nKwIMSbpeXNoJ2j5aChdckoBAAAoR0AhgWIbmagFRz/+5aUlSDEqRz/9u+A3ez6mZXV9cksBAAAoaB1dckwBAAB9ck0BAAAoaCBo+WgiSwF1YWgjXXJOAQAAKEc/ybWa7H/we0c/4snxCm7D2Ec/48RioF4u32VoGH1yTwEAAGgmRz+crAgxJul5c2gnaPloKF1yUAEAAChHQBaE6qRB4SVHQCREADAXubdHP/P21CnK12dldX1yUQEAAChoHV1yUgEAAH1yUwEAAChoIGj5aCJLAXVhaCNdclQBAAAoRz/JtZrsf/B7Rz/abB3rInhQRz/Ydzq/Q6JBZWgYfXJVAQAAaCZHP5ysCDEm6XlzaCdo+WgoXXJWAQAAKEdAD6sT3Bh/S0dAGRUtzYta2Uc/8/bUKcrXZ2V1fXJXAQAAKGgdXXJYAQAAfXJZAQAAKGggaPloIksBdWFoI11yWgEAAChHP+AAAAAAAABHP+OCVToZK3VHP9PcCthLMCplaBh9clsBAABoJkc/tsi0OVgQYnNoJ2j5aChdclwBAAAoR0AXYerWWIOHR0AUXEEin2/1R0AI2VowowsHZXV9cl0BAAAoaB1dcl4BAAB9cl8BAAAoaCBo+WgiSwF1YWgjXXJgAQAAKEc/4AAAAAAAAEc/2PtVi82pFkc/5hH6k9pn62VoGH1yYQEAAGgmRz+2yLQ5WBBic2gnaPloKF1yYgEAAChHQA3xE3frOodHQCagdoWNrylHQAjZWjCjCwdldX1yYwEAAChoHV1yZAEAAH1yZQEAAChoIGj5aCJLAXVhaCNdcmYBAAAoRwAAAAAAAAAARz+8EqnQyVupRz/IR+pPaZ+sZWgYfXJnAQAAaCZHP7bItDlYEGJzaCdo+WgoXXJoAQAAKEc/8NLCNMXMh0dACOSr6HvuXkcAAAAAAAAAAGV1fXJpAQAAKGgdXXJqAQAAfXJrAQAAKGggaPloIksBdWFoI11ybAEAAChHgAAAAAAAAABHP+x9qsXm1ItHP+nuBWwlmBVlaBh9cm0BAABoJkc/tsi0OVgQYnNoJ2j5aChdcm4BAAAoR0AhEuICjlbUR0AqlWwcvmuNRwAAAAAAAAAAZXV9cm8BAAAoaB1dcnABAAB9cnEBAAAoaCBo+WgiSwF1YWgjXXJyAQAAKEc/4AAAAAAAAEc/7G/RKPz5ZUc/0Ch60y/oUGVoGH1ycwEAAGgmRz+zMzMzMzMzc2gnaPloKF1ydAEAAChHQCEKlTokvhtHQBCQy7RuoVdHQAjZWjCjCwdldX1ydQEAAChoHV1ydgEAAH1ydwEAAChoIGj5aCJLAXVhaCNdcngBAAAoRz/gAAAAAAAARz+8gXa4GDTVRz/n68KWaAvYZWgYfXJ5AQAAaCZHP7MzMzMzMzNzaCdo+WgoXXJ6AQAAKEc/8RUoeBKSTEdAKIYxPKYWeEdACNlaMKMLB2V1fXJ7AQAAKGgdXXJ8AQAAfXJ9AQAAKGggaPloIksBdWFoI11yfgEAAChHgAAAAAAAAABHP9jfolH58stHP8+vClmgL2BlaBh9cn8BAABoJkc/szMzMzMzM3NoJ2j5aChdcoABAAAoR0ANz+BWRNekR0AQPctibsXNRwAAAAAAAAAAZXV9coEBAAAoaB1dcoIBAAB9coMBAAAoaCBo+WgiSwF1YWgjXXKEAQAAKEcAAAAAAAAAAEc/45Au1wMGm0c/6BQ9aZf0KGVoGH1yhQEAAGgmRz+zMzMzMzMzc2gnaPloKF1yhgEAAChHQBdyhGcrtPhHQCivsWWmBD5HAAAAAAAAAABldX1yhwEAAChoHV1yiAEAAH1yiQEAAChoIGj5aCJLAXVhaCNdcooBAAAoRz/gAAAAAAAARz/BSzz/urXJRz/dEPKhR7jRZWgYfXKLAQAAaCZHP6BiTdLxqfxzaCdo+WgoXXKMAQAAKEc/9Lo7CwuTb0dAHcyY9/OhG0dACNlaMKMLB2V1fXKNAQAAKGgdXXKOAQAAfXKPAQAAKGggaPloIksBdWFoI11ykAEAAChHP+AAAAAAAABHP+utMMARUo5HP+F3hq9cI5dlaBh9cpEBAABoJkc/oGJN0vGp/HNoJ2j5aChdcpIBAAAoR0AglfLnxZ33R0Ah6Eqa45aWR0AI2VowowsHZXV9cpMBAAAoaB1dcpQBAAB9cpUBAAAoaCBo+WgiSwF1YWgjXXKWAQAAKEcAAAAAAAAAAEc/5FLPP+6tckc/p3hq9cI5dmVoGH1ylwEAAGgmRz+gYk3S8an8c2gnaPloKF1ymAEAAChHQBhbyQvp9UBHP+gP8PdOMEZHAAAAAAAAAABldX1ymQEAAChoHV1ymgEAAH1ymwEAAChoIGj5aCJLAXVhaCNdcpwBAAAoRwAAAAAAAAAARz/XWmGAIqUcRz/uiHlQo9xpZWgYfXKdAQAAaCZHP6BiTdLxqfxzaCdo+WgoXXKeAQAAKEdAC/1XDMhXE0dAL02YB2iEIEcAAAAAAAAAAGV1fXKfAQAAKGgdXXKgAQAAfXKhAQAAKGggaPloIksBdWFoI11yogEAAChHP+ZVe8f3evZHP+rirGfSdzFHP9o6dFqa1jBlaBh9cqMBAABoJkc/sCDEm6XjVHNoJ2j5aChdcqQBAAAoR0AgHJYYZV4/R0Aa48h+NM65R0ARV893u8mnZXV9cqUBAAAoaB1dcqYBAAB9cqcBAAAoaCBo+WgiSwF1YWgjXXKoAQAAKEc/5lV7x/d69kc/xHVOYLYjPUc/4uLF0rKU6GVoGH1yqQEAAGgmRz+wIMSbpeNUc2gnaPloKF1yqgEAAChHP/iFIYYNkS9HQCNcstfC/8hHQBFXz3e7yadldX1yqwEAAChoHV1yrAEAAH1yrQEAAChoIGj5aCJLAXVhaCNdcq4BAAAoRz/pqoQ4CIUKRz/VxVjPpO5hRz+3Fi6VlKdBZWgYfXKvAQAAaCZHP7AgxJul41RzaCdo+WgoXXKwAQAAKEdAChfjz0dYMkc/96s6YqJhrUdAE+430TjG42V1fXKxAQAAKGgdXXKyAQAAfXKzAQAAKGggaPloIksBdWFoI11ytAEAAChHP+mqhDgIhQpHP+UdU5gtiM9HP+0dOi1NaxhlaBh9crUBAABoJkc/sCDEm6XjVHNoJ2j5aChdcrYBAAAoR0AZToKqqnSwR0At2S/KiRruR0AT7jfROMbjZXV9crcBAAAoaB1dcrgBAAB9crkBAAAoaCBo+WgiSwF1YWgjXXK6AQAAKEc/01UIcBEKE0c/xHVOYLYjPUc/4uLF0rKU6GVoGH1yuwEAAGgmRz+wIMSbpeNUc2gnaPloKF1yvAEAAChHP/iFIYYNkS9HQCNcstfC/8hHP/4GKuOdBX5ldX1yvQEAAChoHV1yvgEAAH1yvwEAAChoIGj5aCJLAXVhaCNdcsABAAAoRz/TVQhwEQoTRz/q4qxn0ncxRz/aOnRamtYwZWgYfXLBAQAAaCZHP7AgxJul41RzaCdo+WgoXXLCAQAAKEdAIByWGGVeP0dAGuPIfjTOuUc//gYq450FfmV1fXLDAQAAKGgdXXLEAQAAfXLFAQAAKGggaPloIksBdWFoI11yxgEAAChHP8lV7x/d69lHP+UdU5gtiM9HP+0dOi1NaxhlaBh9cscBAABoJkc/sCDEm6XjVHNoJ2j5aChdcsgBAAAoR0AZToKqqnSwR0At2S/KiRruRz/zrIl9qRCPZXV9cskBAAAoaB1dcsoBAAB9cssBAAAoaCBo+WgiSwF1YWgjXXLMAQAAKEc/yVXvH93r2Uc/1cVYz6TuYUc/txYulZSnQWVoGH1yzQEAAGgmRz+wIMSbpeNUc2gnaPloKF1yzgEAAChHQAoX489HWDJHP/erOmKiYa1HP/OsiX2pEI9ldX1yzwEAAChoHV1y0AEAAH1y0QEAAChoIGj5aCJLAXVhaCNdctIBAAAoRz/mqEAKsgqqRz/jaYSIu0/4Rz/HVAirSkYfZWgYfXLTAQAAaCZHP6eNT987ZFpzaCdo+WgoXXLUAQAAKEdAF0Qs3mA/NUdAB+qjyE0KC0dAEZgU1fH+UmV1fXLVAQAAKGgdXXLWAQAAfXLXAQAAKGggaPloIksBdWFoI11y2AEAAChHP+aoQAqyCqpHP9ks9u6JYBFHP+oq/dUtbnhlaBh9ctkBAABoJkc/p41P3ztkWnNoJ2j5aChdctoBAAAoR0AOLI9n28MqR0Aq0+4kyiShR0ARmBTV8f5SZXV9ctsBAAAoaB1dctwBAAB9ct0BAAAoaCBo+WgiSwF1YWgjXXLeAQAAKEc/6Ve/9U31Vkc/u0wkRdp/vkc/1FX7qlrc8GVoGH1y3wEAAGgmRz+njU/fO2Rac2gnaPloKF1y4AEAAChHP/BbylTku0BHQBTZRTK24h5HQBOt8nMCkjlldX1y4QEAAChoHV1y4gEAAH1y4wEAAChoIGj5aCJLAXVhaCNdcuQBAAAoRz/pV7/1TfVWRz/slnt3RLAIRz/l1QIq0pGIZWgYfXLlAQAAaCZHP6eNT987ZFpzaCdo+WgoXXLmAQAAKEdAISHA/op4/UdAJmH0fYH2FUdAE63ycwKSOWV1fXLnAQAAKGgdXXLoAQAAfXLpAQAAKGggaPloIksBdWFoI11y6gEAAChHP9Kvf+qb6q1HP9ks9u6JYBFHP+oq/dUtbnhlaBh9cusBAABoJkc/p41P3ztkWnNoJ2j5aChdcuwBAAAoR0AOLI9n28MqR0Aq0+4kyiShRz/9BRVqxDLXZXV9cu0BAAAoaB1dcu4BAAB9cu8BAAAoaCBo+WgiSwF1YWgjXXLwAQAAKEc/0q9/6pvqrUc/42mEiLtP+Ec/x1QIq0pGH2VoGH1y8QEAAGgmRz+njU/fO2Rac2gnaPloKF1y8gEAAChHQBdELN5gPzVHQAfqo8hNCgtHP/0FFWrEMtdldX1y8wEAAChoHV1y9AEAAH1y9QEAAChoIGj5aCJLAXVhaCNdcvYBAAAoRz/KoQAqyCqnRz/slnt3RLAIRz/l1QIq0pGIZWgYfXL3AQAAaCZHP6eNT987ZFpzaCdo+WgoXXL4AQAAKEdAISHA/op4/UdAJmH0fYH2FUc/9K2e9oHjOGV1fXL5AQAAKGgdXXL6AQAAfXL7AQAAKGggaPloIksBdWFoI11y/AEAAChHP8qhACrIKqdHP7tMJEXaf75HP9RV+6pa3PBlaBh9cv0BAABoJkc/p41P3ztkWnNoJ2j5aChdcv4BAAAoRz/wW8pU5LtAR0AU2UUytuIeRz/0rZ72geM4ZXV9cv8BAAAoaB1dcgACAAB9cgECAAAoaCBo+WgiSwF1YWgjXXICAgAAKEc/4AAAAAAAAEc/5EySL0IM60c/3rgKMojpSGVoGH1yAwIAAGgmRz+uNT987ZFoc2gnaPloKF1yBAIAAChHQBhUTuWkLtNHQB9+W/6RaihHQAjZWjCjCwdldX1yBQIAAChoHV1yBgIAAH1yBwIAAChoIGj5aCJLAXVhaCNdcggCAAAoRz/gAAAAAAAARz/XZtuhe+YqRz/go/rmu4tcZWgYfXIJAgAAaCZHP641P3ztkWhzaCdo+WgoXXIKAgAAKEdADAxLWVPj7UdAIQ9pF5SyEEdACNlaMKMLB2V1fXILAgAAKGgdXXIMAgAAfXINAgAAKGggaPloIksBdWFoI11yDgIAAChHgAAAAAAAAABHP8EySL0IM6tHP5R/XNdxa31laBh9cg8CAABoJkc/rjU/fO2RaHNoJ2j5aChdchACAAAoRz/0nFJx9Hm5Rz/VA7GEv8++RwAAAAAAAAAAZXV9chECAAAoaB1dchICAAB9chMCAAAoaCBo+WgiSwF1YWgjXXIUAgAAKEcAAAAAAAAAAEc/67Nt0L3zFUc/71wFGUR0pGVoGH1yFQIAAGgmRz+uNT987ZFoc2gnaPloKF1yFgIAAChHQCCZr/rogS5HQDATPMVbtFNHAAAAAAAAAABldWV1WAYAAAB0YXJnZXRyFwIAAEdADHEMspXp4nUuUEsHCIO7aTg8KQAAPCkAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgA8AG1iLW1wLWdhcC0xMDQ0NzQvYnl0ZW9yZGVyRkI4AFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpabGl0dGxlUEsHCIU94xkGAAAABgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGAA0AG1iLW1wLWdhcC0xMDQ0NzQvdmVyc2lvbkZCMABaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlozClBLBwjRnmdVAgAAAAIAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAACcAKQBtYi1tcC1nYXAtMTA0NDc0Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRGQiUAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjA2MzY0NTc3Mzc5NDY0MDEwNTEzMDAwMDAwMTUwMTkyNDE5Mjg5MDNQSwcI3D04KCgAAAAoAAAAUEsBAgAAAAAICAAAAAAAAIO7aTg8KQAAPCkAABkAAAAAAAAAAAAAAAAAAAAAAG1iLW1wLWdhcC0xMDQ0NzQvZGF0YS5wa2xQSwECAAAAAAgIAAAAAAAAhT3jGQYAAAAGAAAAGgAAAAAAAAAAAAAAAACMKQAAbWItbXAtZ2FwLTEwNDQ3NC9ieXRlb3JkZXJQSwECAAAAAAgIAAAAAAAA0Z5nVQIAAAACAAAAGAAAAAAAAAAAAAAAAAAWKgAAbWItbXAtZ2FwLTEwNDQ3NC92ZXJzaW9uUEsBAgAAAAAICAAAAAAAANw9OCgoAAAAKAAAACcAAAAAAAAAAAAAAAAAkioAAG1iLW1wLWdhcC0xMDQ0NzQvLmRhdGEvc2VyaWFsaXphdGlvbl9pZFBLBgYsAAAAAAAAAB4DLQAAAAAAAAAAAAQAAAAAAAAABAAAAAAAAAAqAQAAAAAAADgrAAAAAAAAUEsGBwAAAABiLAAAAAAAAAEAAABQSwUGAAAAAAQABAAqAQAAOCsAAAAA" | ./matbench_mp_gap/mb-mp-gap-104474 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-016933 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA2NTI0NC9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHwBamPFl3lY5HgAAAAAAAAABHgAAAAAAAAABlXXENKEeAAAAAAAAAAEdAFqY8WXeVjkeAAAAAAAAAAGVdcQ4oR0AGpjyakA6rR8AGpjyakA6rR8AQUsZ1xanuZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAFqY8WXeVjlgBAAAAYnESR0AWpjxZd5WOWAEAAABjcRNHQBbeOU9C12VYBQAAAGFscGhhcRRHQF3ryPmZWQ5YBAAAAGJldGFxFUdAXevI+ZlZDlgFAAAAZ2FtbWFxFkdAVoAAAAAAAFgGAAAAdm9sdW1lcRdHQGBa4iEF29x1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABTcnEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP+gAAAAAAABHP9AAAAAAAABHP+AAAAAAAABlaBh9cSVYBgAAAG1hZ21vbXEmR4AAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAAU3JxKFgDAAAAeHl6cSldcSooR8AGpjw461j+R76QRh5HQAAAR8AAUsZ1xanuZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/0AAAAAAAAEc/6AAAAAAAAEc/4AAAAAAAAGVoGH1xL2gmR4AAAAAAAAAAc2gnWAIAAABTcnEwaCldcTEoRz6QRh5HQAAAR0AGpjw461j+R8AAUsZ1xanuZXV9cTIoaB1dcTN9cTQoaCBYAgAAAFpucTVoIksBdWFoI11xNihHP+AAAAAAAABHP+AAAAAAAABHAAAAAAAAAABlaBh9cTdoJkcAAAAAAAAAAHNoJ1gCAAAAWm5xOGgpXXE5KEfABqY8WXeVjkdABqY8WXeVjkcAAAAAAAAAAGV1fXE6KGgdXXE7fXE8KGggWAEAAABXcT1oIksBdWFoI11xPihHgAAAAAAAAABHgAAAAAAAAABHgAAAAAAAAABlaBh9cT9oJkeAAAAAAAAAAHNoJ2g9aCldcUAoRwAAAAAAAAAARwAAAAAAAAAARwAAAAAAAAAAZXV9cUEoaB1dcUJ9cUMoaCBYAQAAAE9xRGgiSwF1YWgjXXFFKEc/0jpVcSCpmUc/yOvvPGNdnUc/8AAAAAAAAGVoGH1xRmgmRwAAAAAAAAAAc2gnaERoKV1xRyhHP/N+4cJwYYhHv/uozdKEpQ9HwBBSxnXFqe5ldX1xSChoHV1xSX1xSihoIGhEaCJLAXVhaCNdcUsoRz/m4tVHb6s0Rz/pxQQw5yiZRwAAAAAAAAAAZWgYfXFMaCZHAAAAAAAAAABzaCdoRGgpXXFNKEfAEDLWfMumm0dAEj1RgNC3fUcAAAAAAAAAAGV1fXFOKGgdXXFPfXFQKGggaERoIksBdWFoI11xUShHP+nFBDDnKJlHP9I6VXEgqZlHP/AAAAAAAABlaBh9cVJoJkcAAAAAAAAAAHNoJ2hEaCldcVMoR7/7qMzOIsCeR7/zfuHCcGGIR8AQUsZ1xanuZXV9cVQoaB1dcVV9cVYoaCBoRGgiSwF1YWgjXXFXKEc/yOvvPGNdnUc/5uLVR2+rNEcAAAAAAAAAAGVoGH1xWGgmRwAAAAAAAAAAc2gnaERoKV1xWShHv/Gjq2KbeEdHQBAy1nzLpptHAAAAAAAAAABldX1xWihoHV1xW31xXChoIGhEaCJLAXVhaCNdcV0oRz/Oo91/zWqsRz/Oo91/zWqsRz/eo911EKM7ZWgYfXFeaCZHAAAAAAAAAABzaCdoRGgpXXFfKEc+i11cBYAAAEe+i11cBYAAAEe//0JhUWXrl2V1fXFgKGgdXXFhfXFiKGggaERoIksBdWFoI11xYyhHP+hXCKAMpVVHP+hXCKAMpVVHP+CuEUV3rmJlaBh9cWRoJkcAAAAAAAAAAHNoJ2hEaCldcWUoR8AGpjwzvHh2R0AGpjwzvHh2R8ABBFxC2F4QZXVldVgGAAAAdGFyZ2V0cWZHQAw6+36Q/5Z1LlBLBwh93n4ltAYAALQGAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABoABABtYi1tcC1nYXAtMDY1MjQ0L2J5dGVvcmRlckZCAABsaXR0bGVQSwcIhT3jGQYAAAAGAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAYADQAbWItbXAtZ2FwLTA2NTI0NC92ZXJzaW9uRkIwAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjMKUEsHCNGeZ1UCAAAAAgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAJwApAG1iLW1wLWdhcC0wNjUyNDQvLmRhdGEvc2VyaWFsaXphdGlvbl9pZEZCJQBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMDYzNjQ1NzczNzk0NjQwMTA1MTMwMDAwMDAxMzYyMTg4NzM1OTYwNFBLBwhygbtyKAAAACgAAABQSwECAAAAAAgIAAAAAAAAfd5+JbQGAAC0BgAAGQAAAAAAAAAAAAAAAAAAAAAAbWItbXAtZ2FwLTA2NTI0NC9kYXRhLnBrbFBLAQIAAAAACAgAAAAAAACFPeMZBgAAAAYAAAAaAAAAAAAAAAAAAAAAAAQHAABtYi1tcC1nYXAtMDY1MjQ0L2J5dGVvcmRlclBLAQIAAAAACAgAAAAAAADRnmdVAgAAAAIAAAAYAAAAAAAAAAAAAAAAAFYHAABtYi1tcC1nYXAtMDY1MjQ0L3ZlcnNpb25QSwECAAAAAAgIAAAAAAAAcoG7cigAAAAoAAAAJwAAAAAAAAAAAAAAAADSBwAAbWItbXAtZ2FwLTA2NTI0NC8uZGF0YS9zZXJpYWxpemF0aW9uX2lkUEsGBiwAAAAAAAAAHgMtAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAACoBAAAAAAAAeAgAAAAAAABQSwYHAAAAAKIJAAAAAAAAAQAAAFBLBQYAAAAABAAEACoBAAB4CAAAAAA=" | ./matbench_mp_gap/mb-mp-gap-065244 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-046888 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-068108 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTAxMTgxMi9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQBsP1ru4/jlHAAAAAAAAAABHwACKbUlZkD9lXXENKEcAAAAAAAAAAEdAK5SSyvNY00cAAAAAAAAAAGVdcQ4oRz+lqMySalBWRwAAAAAAAAAAR0AnWUOWgrjXZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAHEwjd6+E3lgBAAAAYnESR0ArlJLK81jTWAEAAABjcRNHQCdZTaJQZqpYBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAWrJOXnTOLVgFAAAAZ2FtbWFxFkdAVoAAAAAAAFgGAAAAdm9sdW1lcRdHQJEJjRxecrV1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABDZHEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHAAAAAAAAAABHP+AAAAAAAABHP+AAAAAAAABlaBh9cSVYBgAAAG1hZ21vbXEmRwAAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAAQ2RxKFgDAAAAeHl6cSldcSooRz+VqMySalBWR0AblJLK81jTR0AXWUOWgrjXZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEcAAAAAAAAAAEcAAAAAAAAAAEcAAAAAAAAAAGVoGH1xL2gmRwAAAAAAAAAAc2gnWAIAAABDZHEwaCldcTEoRwAAAAAAAAAARwAAAAAAAAAARwAAAAAAAAAAZXV9cTIoaB1dcTN9cTQoaCBYAgAAAFJlcTVoIksBdWFoI11xNihHP+KTfwMVXjZHP+C2yIPn1pNHP8gg3BiaKrllaBh9cTdoJkcAAAAAAAAAAHNoJ1gCAAAAUmVxOGgpXXE5KEdAD3uewi/nmkdAHM+mdULmjUc/8AGjC68kMWV1fXE6KGgdXXE7fXE8KGggaDVoIksBdWFoI11xPShHP9rZAfnVQ5RHP5bZEHz60m9HP9PvkfOy6qNlaBh9cT5oJkcAAAAAAAAAAHNoJ1gCAAAAUmVxP2gpXXFAKEdABs9gTmbpeUc/07E6pPjbqUdABidIXdRPVmV1fXFBKGgdXXFCfXFDKGggaDVoIksBdWFoI11xRChHP9rZAfnVQ5RHP96SbvgwUtlHP+n3yPnZdVJlaBh9cUVoJkcAAAAAAAAAAHNoJ1gCAAAAUmVxRmgpXXFHKEdABvqx54u+GUdAGll/IKPLGEdAITZz4rZwQWV1fXFIKGgdXXFJfXFKKGggaDVoIksBdWFoI11xSyhHP+KTfwMVXjZHP+9JN3wYKW1HP+YINwYmiq5laBh9cUxoJkcAAAAAAAAAAHNoJ1gCAAAAUmVxTWgpXXFOKEdAD6bwW1S8O0dAKvcI9cuR9kdAG1msWW6B42V1fXFPKGgdXXFQfXFRKGggWAEAAABIcVJoIksBdWFoI11xUyhHP+hL3zwQJpRHP+W6URRvo6dHP9iFrza50HFlaBh9cVRoJkcAAAAAAAAAAHNoJ2hSaCldcVUoR0AUnKQK1rlAR0AiuhXMG/6fR0AHOfFI6ksuZXV9cVYoaB1dcVd9cVgoaCBoUmgiSwF1YWgjXXFZKEc/ztCDD79lsUc/xulEUb6OnEc/velDJRi+PWVoGH1xWmgmRwAAAAAAAAAAc2gnaFJoKV1xWyhHP/ojbfXSvSZHQAO/MZqJSNhHP+u4omsGWQpldX1xXChoHV1xXX1xXihoIGhSaCJLAXVhaCNdcV8oRz/O0IMPv2WxRz/Ui13XILiyRz/jvShkoxfIZWgYfXFgaCZHAAAAAAAAAABzaCdoUmgpXXFhKEc/+noRKBxmaEdAEbT5/a60Z0dAGtBX4+OD+WV1fXFiKGgdXXFjfXFkKGggaFJoIksBdWFoI11xZShHP+hL3zwQJpRHP+pFruuQXFlHP+xC15tc6DhlaBh9cWZoJkcAAAAAAAAAAHNoJ2hSaCldcWcoR0AUskzXaSOQR0AmpMZkUQadR0Ahex4de+82ZXV9cWgoaB1dcWl9cWooaCBoUmgiSwF1YWgjXXFrKEc/5/AZkyQJoEc/6cFBePEtf0c/1r1QmHPUuWVoGH1xbGgmRwAAAAAAAAAAc2gnaFJoKV1xbShHQBRN0vJl+rRHQCYyozHtWfRHQATPZwGOOYRldX1xbihoHV1xb31xcChoIGhSaCJLAXVhaCNdcXEoRz/QH8zZt+zBRz/TgoLx4lr+Rz/ChV7PGFaOZWgYfXFyaCZHAAAAAAAAAABzaCdoUmgpXXFzKEc/+16yV5W3WUdAENCzmOdbFUc/8rFlxDtP2GV1fXF0KGgdXXF1fXF2KGggaFJoIksBdWFoI11xdyhHP9AfzNm37MFHP8j6+hw7SgNHP+ShV7PGFaRlaBh9cXhoJkcAAAAAAAAAAHNoJ2hSaCldcXkoRz/7tVWJ32CbR0AFh75kF/t8R0AcBZ0HkYzOZXV9cXooaB1dcXt9cXwoaCBoUmgiSwF1YWgjXXF9KEc/5/AZkyQJoEc/5j6+hw7SgUc/616oTDnqXGVoGH1xfmgmRwAAAAAAAAAAc2gnaFJoKV1xfyhHQBRje774ZQRHQCMsOP5/q0lHQCDge4uk6stldX1xgChoHV1xgX1xgihoIGhSaCJLAXVhaCNdcYMoRz/tDySFxlMLRz/tKZGpiyk+Rz/gCzm6NfFUZWgYfXGEaCZHAAAAAAAAAABzaCdoUmgpXXGFKEdAGKjg6H9AFUdAKSJ471pQEUdAD84DltpwDGV1fXGGKGgdXXGHfXGIKGggaFJoIksBdWFoI11xiShHP7eG29HNZ6dHP9pTI1MWUn1HP+/0xkXKDqxlaBh9cYpoJkcAAAAAAAAAAHNoJ2hSaCldcYsoRz/lP4HHh+ilR0AWsF8TwUdQR0Am78kptxUvZXV9cYwoaB1dcY19cY4oaCBoUmgiSwF1YWgjXXGPKEc/t4bb0c1np0c/trNys6a2DUc/3+mMi5QdWWVoGH1xkGgmRwAAAAAAAAAAc2gnaFJoKV1xkShHP+SSO2L0liJHP/OQztzIRg5HQBaGTrzrcYhldX1xkihoHV1xk31xlChoIGhSaCJLAXVhaCNdcZUoRz/tDySFxlMLRz/i1m5WdNbCRz9Wc3Rr4qcqZWgYfXGWaCZHAAAAAAAAAABzaCdoUmgpXXGXKEdAGJM4G+zVxUdAIDxjQRK1LEe//ckHLFYDRGV1fXGYKGgdXXGZfXGaKGggaFJoIksBdWFoI11xmyhHP6fVquzTJ4VHP+vT9/8qmARHP+SO/0xQ5ndlaBh9cZxoJkcAAAAAAAAAAHNoJ2hSaCldcZ0oRz/V5V2HLOTyR0An/A1B4T3RR0AdnbG/jrPBZXV9cZ4oaB1dcZ99caAoaCBoUmgiSwF1YWgjXXGhKEc/7oKlUTLNiEc/16fv/lUwCEc/63EAs68ZiWVoGH1xomgmRwAAAAAAAAAAc2gnaFJoKV1xoyhHQBnye0j9bttHQBRjh7jPIs9HQCAUcS+mV1JldX1xpChoHV1xpX1xpihoIGhSaCJLAXVhaCNdcacoRz/ugqVRMs2IRz/AsCADVZ/wRz/W4gFnXjMRZWgYfXGoaCZHAAAAAAAAAABzaCdoUmgpXXGpKEdAGdzSfGsEi0c//MQsSJDYD0dAAZ89kZPrmmV1fXGqKGgdXXGrfXGsKGggaFJoIksBdWFoI11xrShHP6fVquzTJ4VHP+QsCADVZ/xHP8I7/TFDmd5laBh9ca5oJkcAAAAAAAAAAHNoJ2hSaCldca8oRz/UitC+Bj/tR0AhYs7ui8drRz/5EbikL+uqZXV9cbAoaB1dcbF9cbIoaCBoUmgiSwF1YWgjXXGzKEc/4FezRTxKM0c/4pL+NHjYhEc/4nCBrWmwHWVoGH1xtGgmRwAAAAAAAAAAc2gnaFJoKV1xtShHQAvWGHgzK11HQCACQ4htmXRHQBavVEs8YFhldX1xtihoHV1xt31xuChoIGhSaCJLAXVhaCNdcbkoRz/fUJl1h2uaRz+0l/GjxsQfRz/tj35Slk/jZWgYfXG6aCZHAAAAAAAAAABzaCdoUmgpXXG7KEdACsuJyq1O90c/8b/RF59oV0dAI4uf6c+BB2V1fXG8KGgdXXG9fXG+KGggaFJoIksBdWFoI11xvyhHP99QmXWHa5pHP9raA5cOTvhHP9se/KUsn8ZlaBh9ccBoJkcAAAAAAAAAAHNoJ2hSaCldccEoR0AKoDgxiHpWR0AXJJ6FC369R0APe/h6OJJtZXV9ccIoaB1dccN9ccQoaCBoUmgiSwF1YWgjXXHFKEc/4FezRTxKM0c/7W0By4cnfEc/s4QNa02A52VoGH1xxmgmRwAAAAAAAAAAc2gnaFJoKV1xxyhHQAuqxt8OVr1HQClcmKf/a8hHv8U96WjLD+xldX1xyChoHV1xyX1xyihoIGhSaCJLAXVhaCNdccsoRz/haxfGRUk1Rz/ml+IO01eARz/jFnsxeZ+pZWgYfXHMaCZHAAAAAAAAAABzaCdoUmgpXXHNKEdADamkDTFeK0dAI3kM1kjZ/kdAF1pcKuTCpmV1fXHOKGgdXXHPfXHQKGggaFJoIksBdWFoI11x0ShHP90p0HN1bZVHP8pfiDtNXgJHP+zphM6GYFdlaBh9cdJoJkcAAAAAAAAAAHNoJ2hSaCldcdMoR0AI9/41rxwpR0AGuw3DPLZTR0AjNhv5+0/gZXV9cdQoaB1dcdV9cdYoaCBoUmgiSwF1YWgjXXHXKEc/3SnQc3VtlUc/0tA74llQ/0c/2dMJnQzArmVoGH1x2GgmRwAAAAAAAAAAc2gnaFJoKV1x2ShHQAjMrJyKR4lHQBA3C+lU/apHQA4l6LrnzdJldX1x2ihoHV1x231x3ChoIGhSaCJLAXVhaCNdcd0oRz/haxfGRUk1Rz/paB3xLKiARz+4s9mLzP1JZWgYfXHeaCZHAAAAAAAAAABzaCdoUmgpXXHfKEdADX5SdAyJikdAJeXPWiQrP0c/UYlGIJzsAGV1fXHgKGgdXXHhfXHiKGggaFJoIksBdWFoI11x4yhHP9cZz+qOfrNHP+oAneUCzpFHP90+P4uGMIZlaBh9ceRoJkcAAAAAAAAAAHNoJ2hSaCldceUoR0ADsMzCaJ7nR0AmaT9bN5G0R0ASWhsGMiogZXV9ceYoaB1dced9cegoaCBoUmgiSwF1YWgjXXHpKEc/5HMYCrjApkc/1AE7ygWdI0c/pg4Do857z2VoGH1x6mgmRwAAAAAAAAAAc2gnaFJoKV1x6yhHQBFNGScXGRZHQBE96+t7ypZHv+owcKLhy0FldX1x7ChoHV1x7X1x7ihoIGhSaCJLAXVhaCNdce8oRz/kcxgKuMCmRz/H/Yhr9MW6Rz/hYOA6POe9ZWgYfXHwaCZHAAAAAAAAAABzaCdoUmgpXXHxKEdAEWLB86mDZkdABK1Nvu8ceUdAFBM1giZ/b2V1fXHyKGgdXXHzfXH0KGggaFJoIksBdWFoI11x9ShHP9cZz+qOfrNHP+X/Yhr9MW9HP+6fH8XDGENlaBh9cfZoJkcAAAAAAAAAAHNoJ2hSaCldcfcoR0AD3B5bjXOHR0Ai9ZzVNXOIR0Ak2a9OWnF8ZXV9cfgoaB1dcfl9cfooaCBoUmgiSwF1YWgjXXH7KEc/x7Fy/yYQYEc/6Ju0zHrtXEc/1P/oLSV9EmVoGH1x/GgmRwAAAAAAAAAAc2gnaFJoKV1x/ShHP/RCTgte3uRHQCU1oZM0Xb5HQAuVOAb4Z9ZldX1x/ihoHV1x/31yAAEAAChoIGhSaCJLAXVhaCNdcgEBAAAoRz/qE6NANnvoRz/RN2mY9dq4Rz/GAC+ltQXcZWgYfXICAQAAaCZHAAAAAAAAAABzaCdoUmgpXXIDAQAAKEdAFhTsBXOw0EdADa1gturFVEc/1JcO5ZvMyGV1fXIEAQAAKGgdXXIFAQAAfXIGAQAAKGggaFJoIksBdWFoI11yBwEAAChHP+oTo0A2e+hHP82RLM4USpBHP+WAC+ltQXdlaBh9cggBAABoJkcAAAAAAAAAAHNoJ2hSaCldcgkBAAAoR0AWKpTSBhsgR0AJe8Te++xSR0AYorSE3HWjZXV9cgoBAAAoaB1dcgsBAAB9cgwBAAAoaCBoUmgiSwF1YWgjXXINAQAAKEc/x7Fy/yYQYEc/52RLM4USpEc/6n/0FpK+iWVoGH1yDgEAAGgmRwAAAAAAAAAAc2gnaFJoKV1yDwEAAChHP/SY8T2oiCVHQCQpOp04p35HQCKR78z/dmFldX1yEAEAAChoHV1yEQEAAH1yEgEAAChoIFgBAAAAQ3ITAQAAaCJLAXVhaCNdchQBAAAoRz/tTkYOgiPcRz/obRa+3kynRz/guTkxpOitZWgYfXIVAQAAaCZHAAAAAAAAAABzaCdYAQAAAENyFgEAAGgpXXIXAQAAKEdAGN8v/jBEyUdAJQ1zxuB7bEdAENSa1Nxg5WV1fXIYAQAAKGgdXXIZAQAAfXIaAQAAKGggahMBAABoIksBdWFoI11yGwEAAChHP7WNz4vu4R9HP9DaLX28mU5HP+9Gxs5bF1NlaBh9chwBAABoJkcAAAAAAAAAAHNoJ2oWAQAAaCldch0BAAAoRz/jjQkZ/8MJR0ANDKmFmzwLR0AmePyk/4DAZXV9ch4BAAAoaB1dch8BAAB9ciABAAAoaCBqEwEAAGgiSwF1YWgjXXIhAQAAKEc/tY3Pi+7hH0c/zkulBIbNZEc/3o2NnLYupmVoGH1yIgEAAGgmRwAAAAAAAAAAc2gnahYBAABoKV1yIwEAAChHP+LfwrVscIZHQAocfBBLdZtHQBWYtbN8SKlldX1yJAEAAChoHV1yJQEAAH1yJgEAAChoIGoTAQAAaCJLAXVhaCNdcicBAAAoRz/tTkYOgiPcRz/nkulBIbNZRz+XJyY0nRWlZWgYfXIoAQAAaCZHAAAAAAAAAABzaCdqFgEAAGgpXXIpAQAAKEdAGMmHMZ3aeUdAJFFoaYyJ0Ee/+hKjBplfxmV1fXIqAQAAKGgdXXIrAQAAfXIsAQAAKGggahMBAABoIksBdWFoI11yLQEAAChHP9U5/zT+5U5HP+VEaRXuKOhHP9x3eDGU+HVlaBh9ci4BAABoJkcAAAAAAAAAAHNoJ2oWAQAAaCldci8BAAAoR0ACGfoU3xTDR0AiVHafh2XwR0ASBxI8oq2BZXV9cjABAAAoaB1dcjEBAAB9cjIBAAAoaCBqEwEAAGgiSwF1YWgjXXIzAQAAKEc/5WMAZYCNWUc/xRGkV7ijoEc/rEQ+c1g8V2VoGH1yNAEAAGgmRwAAAAAAAAAAc2gnahYBAABoKV1yNQEAAChHQBIYgn3b3ihHQAIotOg25htHv+eYKlZl5khldX1yNgEAAChoHV1yNwEAAH1yOAEAAChoIGoTAQAAaCJLAXVhaCNdcjkBAAAoRz/lYwBlgI1ZRz/Vdy3UI64wRz/hxEPnNYPFZWgYfXI6AQAAaCZHAAAAAAAAAABzaCdqFgEAAGgpXXI7AQAAKEdAEi4rSm5IeEdAEoA4VtflxUdAFGY+S7X8DWV1fXI8AQAAKGgdXXI9AQAAfXI+AQAAKGggahMBAABoIksBdWFoI11yPwEAAChHP9U5/zT+5U5HP+q7luoR1xhHP+47vBjKfDtlaBh9ckABAABoJkcAAAAAAAAAAHNoJ2oWAQAAaCldckEBAAAoR0ACRUuuA+ljR0AnCmWQ5Z9MR0AksCrpkrMsZXV9ckIBAAAoaB1dckMBAAB9ckQBAAAoaCBYAQAAAFNyRQEAAGgiSwF1YWgjXXJGAQAAKEc/Z31vwlqt9kc/5XOBnM2rmkc/4+bd5U34BmVoGH1yRwEAAGgmRwAAAAAAAAAAc2gnWAEAAABTckgBAABoKV1ySQEAAChHP6dnOELI9gZHQCJ9DfrOXkdHQB0E1RNdoGVldX1ySgEAAChoHV1ySwEAAH1yTAEAAChoIGpFAQAAaCJLAXVhaCNdck0BAAAoRz/v6IKQPaVSRz/FzgZzNq5oRz/sGSIasgf6ZWgYfXJOAQAAaCZHAAAAAAAAAABzaCdqSAEAAGgpXXJPAQAAKEdAGyICsOqrPkdAAssSVVLHdkdAIGDfhb7hAWV1fXJQAQAAKGgdXXJRAQAAfXJSAQAAKGggakUBAABoIksBdWFoI11yUwEAAChHP+/ogpA9pVJHP9UY/MZkqMxHP9gyRDVkD/VlaBh9clQBAABoJkcAAAAAAAAAAHNoJ2pIAQAAaCldclUBAAAoR0AbDFnkWEDuR0ASLwmgSfUYR0AC0Pbp9hJVZXV9clYBAAAoaB1dclcBAAB9clgBAAAoaCBqRQEAAGgiSwF1YWgjXXJZAQAAKEc/Z31vwlqt9kc/6ox+YzJUZkc/vzbvKm/ALGVoGH1yWgEAAGgmRwAAAAAAAAAAc2gnakgBAABoKV1yWwEAAChHP5klo/Mnm7ZHQCbhzjWepvVHP/auRfNrnjRldX1yXAEAAChoHV1yXQEAAH1yXgEAAChoIGpFAQAAaCJLAXVhaCNdcl8BAAAoRz/Ksyi22G7BRz/iMJhudlVHRz/XBxoFZMPPZWgYfXJgAQAAaCZHAAAAAAAAAABzaCdqSAEAAGgpXXJhAQAAKEc/9tK6BmkO0kdAH1rpno6R7UdADidpJDzReWV1fXJiAQAAKGgdXXJjAQAAfXJkAQAAKGggakUBAABoIksBdWFoI11yZQEAAChHP+lTNdJJ5FBHP7GEw3OyqjdHP8Hxy/U2eGJlaBh9cmYBAABoJkcAAAAAAAAAAHNoJ2pIAQAAaCldcmcBAAAoR0AVcNEGsSTVRz/uMrac2cjQRz82F+3h/sAAZXV9cmgBAAAoaB1dcmkBAAB9cmoBAAAoaCBqRQEAAGgiSwF1YWgjXXJrAQAAKEc/6VM10knkUEc/257PIxNVckc/5Hxy/U2eGWVoGH1ybAEAAGgmRwAAAAAAAAAAc2gnakgBAABoKV1ybQEAAChHQBWGedNDjyZHQBfOO/dYH7lHQBdZm/Y6QNNldX1ybgEAAChoHV1ybwEAAH1ycAEAAChoIGpFAQAAaCJLAXVhaCNdcnEBAAAoRz/Ksyi22G7BRz/tz2eRiaq5Rz/rg40CsmHnZWgYfXJyAQAAaCZHAAAAAAAAAABzaCdqSAEAAGgpXXJzAQAAKEc/9yldOLK4E0dAKbFnYSW8RkdAIzZ8FFCQymV1fXJ0AQAAKGgdXXJ1AQAAfXJ2AQAAKGggWAEAAABOcncBAABoIksBdWFoI11yeAEAAChHP+mbRSAap6FHP+fuBOCPd1dHP9pQDeojdM9laBh9cnkBAABoJkcAAAAAAAAAAHNoJ2p3AQAAaCldcnoBAAAoR0AVuX5FtKauR0Akn+65wl1zR0AJKXjW/AFhZXV9cnsBAAAoaB1dcnwBAAB9cn0BAAAoaCBqdwEAAGgiSwF1YWgjXXJ+AQAAKEc/yZLrf5VhfEc/z7gTgj3dW0c/tr/IV3Isw2VoGH1yfwEAAGgmRwAAAAAAAAAAc2gnancBAABoKV1ygAEAAChHP/WwBQpbB25HQAtWlVEixCRHP+P6hDK/gDZldX1ygQEAAChoHV1yggEAAH1ygwEAAChoIGp3AQAAaCJLAXVhaCNdcoQBAAAoRz/Jkut/lWF8Rz/QI/Y+4RFSRz/i1/kK7kWYZWgYfXKFAQAAaCZHAAAAAAAAAABzaCdqdwEAAGgpXXKGAQAAKEc/9gaoPKSwr0dAC9KQRMPtgUdAGdiUHNqo3WV1fXKHAQAAKGgdXXKIAQAAfXKJAQAAKGggancBAABoIksBdWFoI11yigEAAChHP+mbRSAap6FHP+gR+x9wiKlHP+0oBvURumhlaBh9cosBAABoJkcAAAAAAAAAAHNoJ2p3AQAAaCldcowBAAAoR0AVzycSRxD+R0Akvu12qqfKR0Ah9wABAFzEZXV9co0BAAAoaB1dco4BAAB9co8BAAAoaCBqdwEAAGgiSwF1YWgjXXKQAQAAKEc/7shqrUf3O0c/61xSJeebL0c/4de0TE1ghmVoGH1ykQEAAGgmRwAAAAAAAAAAc2gnancBAABoKV1ykgEAAChHQBogfd6/ReNHQCeU7c6oXp9HQBIU7wW9q9RldX1ykwEAAChoHV1ylAEAAH1ylQEAAChoIGp3AQAAaCJLAXVhaCNdcpYBAAAoRz+jeVUrgIxXRz/WuKRLzzZfRz/uKEuzsp96ZWgYfXKXAQAAaCZHAAAAAAAAAABzaCdqdwEAAGgpXXKYAQAAKEc/0wU0Kw90gEdAE5VI0l1kbUdAJdjSjI7bSGV1fXKZAQAAKGgdXXKaAQAAfXKbAQAAKGggancBAABoIksBdWFoI11ynAEAAChHP6N5VSuAjFdHP8KOt2hhk0NHP9xQl2dlPvRlaBh9cp0BAABoJkcAAAAAAAAAAHNoJ2p3AQAAaCldcp4BAAAoRz/Rqqdh6M96Rz///SfiV9GbR0AUWGGCmv26ZXV9cp8BAAAoaB1dcqABAAB9cqEBAAAoaCBqdwEAAGgiSwF1YWgjXXKiAQAAKEc/7shqrUf3O0c/5KOt2hhk0Uc/rXtExNYIYGVoGH1yowEAAGgmRwAAAAAAAAAAc2gnancBAABoKV1ypAEAAChHQBoK1RIs25NHQCHJ7mHEpp1Hv/URUkMUNApldX1ypQEAAChoHV1ypgEAAH1ypwEAAChoIGp3AQAAaCJLAXVhaCNdcqgBAAAoRz/ePQE9QdTiRz/kxhA6X81FRz/hgRYqjsndZWgYfXKpAQAAaCZHAAAAAAAAAABzaCdqdwEAAGgpXXKqAQAAKEdACcHUvj0gmkdAIeeRB7kawkdAFaLkG2q6jmV1fXKrAQAAKGgdXXKsAQAAfXKtAQAAKGggancBAABoIksBdWFoI11yrgEAAChHP+Dhf2FfFY9HP8MYQOl/NRRHP+5+6dVxNiNlaBh9cq8BAABoJkcAAAAAAAAAAHNoJ2p3AQAAaCldcrABAAAoR0AM382Eo1m6R0AAdR6I/bliR0AkEdgBuFPsZXV9crEBAAAoaB1dcrIBAAB9crMBAAAoaCBqdwEAAGgiSwF1YWgjXXK0AQAAKEc/4OF/YV8Vj0c/1nPfi0Bldkc/3P3TquJsRmVoGH1ytQEAAGgmRwAAAAAAAAAAc2gnancBAABoKV1ytgEAAChHQAy0e+t+hRlHQBNaA4Z0fCJHQBDKbGzt7wFldX1ytwEAAChoHV1yuAEAAH1yuQEAAChoIGp3AQAAaCJLAXVhaCNdcroBAAAoRz/ePQE9QdTiRz/rOe/FoDK7Rz+oEWKo7J3OZWgYfXK7AQAAaCZHAAAAAAAAAABzaCdqdwEAAGgpXXK8AQAAKEdACZaDJRhL+kdAJ3dLKLPqeke/22X3sX/kkGV1fXK9AQAAKGgdXXK+AQAAfXK/AQAAKGggancBAABoIksBdWFoI11ywAEAAChHP9KTetFXdglHP+gs68EDwNVHP9oKUJuj3+9laBh9csEBAABoJkcAAAAAAAAAAHNoJ2p3AQAAaCldcsIBAAAoRz//scNY/ewlR0Ak1iWTfuUcR0AQmYdpUdXuZXV9csMBAAAoaB1dcsQBAAB9csUBAAAoaCBqdwEAAGgiSwF1YWgjXXLGAQAAKEc/5rZCl1RE/Ec/0FnXggeBqkc/t9a9kXCARmVoGH1yxwEAAGgmRwAAAAAAAAAAc2gnancBAABoKV1yyAEAAChHQBM5DrIL7YFHQAwvcLgU4stHv9hXp3e+U2xldX1yyQEAAChoHV1yygEAAH1yywEAAChoIGp3AQAAaCJLAXVhaCNdcswBAAAoRz/mtkKXVET8Rz/PTFD78PytRz/i+teyLhAJZWgYfXLNAQAAaCZHAAAAAAAAAABzaCdqdwEAAGgpXXLOAQAAKEdAE063fp5X0UdACvm03dHO3EdAFdPJHwbToWV1fXLPAQAAKGgdXXLQAQAAfXLRAQAAKGggancBAABoIksBdWFoI11y0gEAAChHP9KTetFXdglHP+fTFD78PytHP+0FKE3R7/dlaBh9ctMBAABoJkcAAAAAAAAAAHNoJ2p3AQAAaCldctQBAAAoR0AABDNFo8qzR0AkiLac7iAgR0Aj+WV/6kdjZXV9ctUBAAAoaB1dctYBAAB9ctcBAAAoaCBYAQAAAE9y2AEAAGgiSwF1YWgjXXLZAQAAKEc/5kblYe8IYUc/4SRW8f82Vkc/1gRtgrpaBGVoGH1y2gEAAGgmRwAAAAAAAAAAc2gnatgBAABoKV1y2wEAAChHQBLlv07SWzpHQB2MgCGmBWJHQASdYov/wOlldX1y3AEAAChoHV1y3QEAAH1y3gEAAChoIGrYAQAAaCJLAXVhaCNdct8BAAAoRz/TcjU8Ie8+Rz+iRW8f82VoRz/D9yT6i0v5ZWgYfXLgAQAAaCZHAAAAAAAAAABzaCdq2AEAAGgpXXLhAQAAKEdAAH+AcvIankc/337VayrJAEc/8xVur1hBDGV1fXLiAQAAKGgdXXLjAQAAfXLkAQAAKGggatgBAABoIksBdWFoI11y5QEAAChHP9NyNTwh7z5HP923UhwBk1NHP+T9yT6i0v5laBh9cuYBAABoJkcAAAAAAAAAAHNoJ2rYAQAAaCldcucBAAAoR0AAqtIMFu8/R0AZnKV0QKxDR0AcHp9CWMkaZXV9cugBAAAoaB1dcukBAAB9cuoBAAAoaCBq2AEAAGgiSwF1YWgjXXLrAQAAKEc/5kblYe8IYUc/7tupDgDJqkc/6wI2wV0tAmVoGH1y7AEAAGgmRwAAAAAAAAAAc2gnatgBAABoKV1y7QEAAChHQBL7aBtkxYtHQCqYnB+aAotHQCDT+m5BTKZldX1y7gEAAChoHV1y7wEAAH1y8AEAAChoIGrYAQAAaCJLAXVhaCNdcvEBAAAoRz/YJCRMkHxkRz/caU0rVvDTRz/EyhnqC/fbZWgYfXLyAQAAaCZHAAAAAAAAAABzaCdq2AEAAGgpXXLzAQAAKEdABHiD2+B5ZEdAGHzCdhqoqUc/8dwAzTAR5GV1fXL0AQAAKGgdXXL1AQAAfXL2AQAAKGggatgBAABoIksBdWFoI11y9wEAAChHP+Pt7dm3wc5HP+40ppWreGlHP9Wa8wr6BBNlaBh9cvgBAABoJkcAAAAAAAAAAHNoJ2rYAQAAaCldcvkBAAAoR0AQ6T2aWyvYR0AqCKqghwC+R0AFOhl9E9h+ZXV9cvoBAAAoaB1dcvsBAAB9cvwBAAAoaCBq2AEAAGgiSwF1YWgjXXL9AQAAKEc/4+3t2bfBzkc/4ctZalSHl0c/6s15hX0CCWVoGH1y/gEAAGgmRwAAAAAAAAAAc2gnatgBAABoKV1y/wEAAChHQBD+5mbtlihHQB6sYx/MCP5HQCD7KCqGUotldX1yAAIAAChoHV1yAQIAAH1yAgIAAChoIGrYAQAAaCJLAXVhaCNdcgMCAAAoRz/YJCRMkHxkRz+stZalSHlrRz/lMoZ6gv33ZWgYfXIEAgAAaCZHAAAAAAAAAABzaCdq2AEAAGgpXXIFAgAAKEdABKPVdQVOBUc/6L6CpsWBUkdAG9BDyc69UGV1fXIGAgAAKGgdXXIHAgAAfXIIAgAAKGggatgBAABoIksBdWFoI11yCQIAAChHP+fzv4qZ92JHP940ZfitUFtHP78WUCOD6K1laBh9cgoCAABoJkcAAAAAAAAAAHNoJ2rYAQAAaCldcgsCAAAoR0AURsdBbNA0R0AaCHLwEhFnR7/AocE9G/doZXV9cgwCAAAoaB1dcg0CAAB9cg4CAAAoaCBq2AEAAGgiSwF1YWgjXXIPAgAAKEc/0BiA6swRO0c/7xoy/FaoLUc/2Dpr9x8F1WVoGH1yEAIAAGgmRwAAAAAAAAAAc2gnatgBAABoKV1yEQIAAChHP/t64Rt6YVJHQCrOgt2CtRxHQA8yNfd9oOZldX1yEgIAAChoHV1yEwIAAH1yFAIAAChoIGrYAQAAaCJLAXVhaCNdchUCAAAoRz/QGIDqzBE7Rz/g5c0DqVfTRz/sHTX7j4LqZWgYfXIWAgAAaCZHAAAAAAAAAABzaCdq2AEAAGgpXXIXAgAAKEc/+9GETcQKk0dAHSCypdSgQEdAI3kvSSDEpWV1fXIYAgAAKGgdXXIZAgAAfXIaAgAAKGggatgBAABoIksBdWFoI11yGwIAAChHP+fzv4qZ92JHP5y5oHUq+lVHP+PiygRwfRZlaBh9chwCAABoJkcAAAAAAAAAAHNoJ2rYAQAAaCldch0CAAAoR0AUXHAN/zqFRz/Ywf2uFHbMR0AW1DWMmdkcZXV9ch4CAAAoaB1dch8CAAB9ciACAAAoaCBq2AEAAGgiSwF1YWgjXXIhAgAAKEc/4Foafa+uLkc/5Gg0zRFAREc/wFRulzdppGVoGH1yIgIAAGgmRwAAAAAAAAAAc2gnatgBAABoKV1yIwIAAChHQAuzSi4nkApHQCGWrB4Y4uZHP9uzmSL4JnRldX1yJAIAAChoHV1yJQIAAH1yJgIAAChoIGrYAQAAaCJLAXVhaCNdcicCAAAoRz/fS8sEoKOkRz/BoNM0RQERRz/X1ci0ZEsuZWgYfXIoAgAAaCZHAAAAAAAAAABzaCdq2AEAAGgpXXIpAgAAKEdACpe04m9BCEc//mMVxPmz5UdACrGmv0zcoGV1fXIqAgAAKGgdXXIrAgAAfXIsAgAAKGggatgBAABoIksBdWFoI11yLQIAAChHP99LywSgo6RHP9cvlmXdf3hHP+vq5FoyJZdlaBh9ci4CAABoJkcAAAAAAAAAAHNoJ2rYAQAAaCldci8CAAAoR0AKwwZ7lBWpR0AT+81ZtOvaR0AiWQt7FJOUZXV9cjACAAAoaB1dcjECAAB9cjICAAAoaCBq2AEAAGgiSwF1YWgjXXIzAgAAKEc/4Foafa+uLkc/65fLMu6/vEc/5BUbpc3aaWVoGH1yNAIAAGgmRwAAAAAAAAAAc2gnatgBAABoKV1yNQIAAChHQAvem8dMZKtHQCfIMBJUIldHQBkUfSiyOz9ldWV1WAYAAAB0YXJnZXRyNgIAAEdAAx6D5CWu5nUuUEsHCD7ECXImLQAAJi0AAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgASAG1iLW1wLWdhcC0wMTE4MTIvYnl0ZW9yZGVyRkIOAFpaWlpaWlpaWlpaWlpabGl0dGxlUEsHCIU94xkGAAAABgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGAA0AG1iLW1wLWdhcC0wMTE4MTIvdmVyc2lvbkZCMABaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlozClBLBwjRnmdVAgAAAAIAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAACcAKQBtYi1tcC1nYXAtMDExODEyLy5kYXRhL3NlcmlhbGl6YXRpb25faWRGQiUAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjA2MzY0NTc3Mzc5NDY0MDEwNTEzMDAwMDAwMTkwOTE0OTI5NTAxMTNQSwcIVsf9oigAAAAoAAAAUEsBAgAAAAAICAAAAAAAAD7ECXImLQAAJi0AABkAAAAAAAAAAAAAAAAAAAAAAG1iLW1wLWdhcC0wMTE4MTIvZGF0YS5wa2xQSwECAAAAAAgIAAAAAAAAhT3jGQYAAAAGAAAAGgAAAAAAAAAAAAAAAAB2LQAAbWItbXAtZ2FwLTAxMTgxMi9ieXRlb3JkZXJQSwECAAAAAAgIAAAAAAAA0Z5nVQIAAAACAAAAGAAAAAAAAAAAAAAAAADWLQAAbWItbXAtZ2FwLTAxMTgxMi92ZXJzaW9uUEsBAgAAAAAICAAAAAAAAFbH/aIoAAAAKAAAACcAAAAAAAAAAAAAAAAAUi4AAG1iLW1wLWdhcC0wMTE4MTIvLmRhdGEvc2VyaWFsaXphdGlvbl9pZFBLBgYsAAAAAAAAAB4DLQAAAAAAAAAAAAQAAAAAAAAABAAAAAAAAAAqAQAAAAAAAPguAAAAAAAAUEsGBwAAAAAiMAAAAAAAAAEAAABQSwUGAAAAAAQABAAqAQAA+C4AAAAA" | ./matbench_mp_gap/mb-mp-gap-011812 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA3NTg5OS9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHwA5SmJ0aV5pHwBWxDbWgNWpHAAAAAAAAAABlXXENKEfADlKYnRpXmkdAFbENtaA1akcAAAAAAAAAAGVdcQ4oRwAAAAAAAAAARwAAAAAAAAAAR8Ae3ww6IAxlZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAGncEyg07j1gBAAAAYnESR0AadwTKDTuPWAEAAABjcRNHQB7fDDogDGVYBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAW4YzKRj2JFgGAAAAdm9sdW1lcRdHQHPUX6GixLN1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABFdXEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP+D49EgQ5dZHP+/prnomYb9HP+gN5xj+U61laBh9cSVYBgAAAG1hZ21vbXEmR0AZHKwIMSbpc1gFAAAAbGFiZWxxJ1gCAAAARXVxKFgDAAAAeHl6cSldcSooR8AXKVM91WPlR0AEQUg6tlx8R8AXNLK6zI4+ZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/3g4Xb940U0c/ZlGF2Z5BdEc/0BvOMfynW2VoGH1xL2gmR0AZGJN0vGp/c2gnWAIAAABFdXEwaCldcTEoR7/8pRV9E87TR8AEQUg6tlx6R7//FLJ28iAxZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/ZlGF2Z5BdEc/3g4Xb940U0c/5/IY5wGsU2VoGH1xNmgmR0AY7ZFocrAhc2gnWAIAAABFdXE3aCldcTgoR7/8pRV9E87TR0AEQUg6tlx6R8AXGd+cY4RZZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/7+mueiZhv0c/4Pj0SBDl1kc/z8hjnAaxSmVoGH1xPWgmR0AY9Lxqfvnbc2gnWAIAAABFdXE+aCldcT8oR8AXKVM91WPlR8AEQUg6tlx8R7/+qWX9TfiZZXV9cUAoaB1dcUF9cUIoaCBoIWgiSwF1YWgjXXFDKEc/33kE7tIwOUc/33kE7tIwOUeAAAAAAAAAAGVoGH1xRGgmR0AZUvGp++dtc2gnWAIAAABFdXFFaCldcUYoR8AN0rDV5B7oRwAAAAAAAAAARwAAAAAAAAAAZXV9cUcoaB1dcUh9cUkoaCBoIWgiSwF1YWgjXXFKKEc/4EN9iJbn40c/4EN9iJbn40c/4AAAAAAAAGVoGH1xS2gmR0AZbItDlYEGc2gnWAIAAABFdXFMaCldcU0oR8AO0oBkUJBLRwAAAAAAAAAAR8AO3ww6IAxlZXV9cU4oaB1dcU99cVAoaCBYAgAAAFRhcVFoIksBdWFoI11xUihHPui0Vt802VFHPui0Vt802VFHgAAAAAAAAABlaBh9cVNoJkc/jKwIMSbpeXNoJ1gCAAAAVGFxVGgpXXFVKEe/F2jVYcNHw0cAAAAAAAAAAEcAAAAAAAAAAGV1fXFWKGgdXXFXfXFYKGggaFFoIksBdWFoI11xWShHP+//50upIMtHP+//50upIMtHP+AAAAAAAABlaBh9cVpoJkc/jKwIMSbpeXNoJ1gCAAAAVGFxW2gpXXFcKEfAHlKBNET110cAAAAAAAAAAEfADt8MOiAMZWV1fXFdKGgdXXFefXFfKGggWAEAAABPcWBoIksBdWFoI11xYShHP+Rp6ZiKeu5HP9csLM7rCiVHP+gAAAAAAABlaBh9cWJoJke/02RaHKwIMXNoJ2hgaCldcWMoR8AOUpidGleaR7/372giFXaIR8AXJ0krmAlMZXV9cWQoaB1dcWV9cWYoaCBoYGgiSwF1YWgjXXFnKEc/1ywszusKJUc/5GnpmIp67kc/0AAAAAAAAGVoGH1xaGgmR7/TZFocrAgxc2gnaGBoKV1xaShHwA5SmJ0aV5pHP/fvaCIVdohHv/7fDDogDGVldX1xaihoHV1xa31xbChoIGhgaCJLAXVhaCNdcW0oRz/uQCm7uyyRRz+r/WRETTbqRz/oAAAAAAAAZWgYfXFuaCZHv52yLQ5WBBlzaCdoYGgpXXFvKEfADlKYnRpXmUfAE1Hoyfji9EfAFydJK5gJTGV1fXFwKGgdXXFxfXFyKGggaGBoIksBdWFoI11xcyhHP6v9ZERNNupHP+5AKbu7LJFHP9AAAAAAAABlaBh9cXRoJke/nKwIMSbpeXNoJ2hgaCldcXUoR8AOUpidGleZR0ATUejJ+OL0R7/+3ww6IAxlZXV9cXYoaB1dcXd9cXgoaCBoYGgiSwF1YWgjXXF5KEc/1JNm2lSfv0c/s6sO4fAfjUc/7yT8M2y+8GVoGH1xemgmR7+7peNT987Zc2gnaGBoKV1xeyhHv/goFMsuCmJHv/U6nRPXvvVHwB4LwhQtHkZldX1xfChoHV1xfX1xfihoIGhgaCJLAXVhaCNdcX8oRz/ltkyS1bAgRz/tip4jwfwORz/eSfhm2X3gZWgYfXGAaCZHv7qfvnbItDlzaCdoYGgpXXGBKEfAGEiTak7VAUc/9TqdE9e+9kfADTh37jowJ2V1fXGCKGgdXXGDfXGEKGggaGBoIksBdWFoI11xhShHP+2KniPB/A5HP+W2TJLVsCBHP+DbA8yTQRBlaBh9cYZoJke/u2RaHKwIMXNoJ2hgaCldcYcoR8AYSJNqTtUBR7/1Op0T1772R8AQQtBDAvRSZXV9cYgoaB1dcYl9cYooaCBoYGgiSwF1YWgjXXGLKEc/s6sO4fAfjUc/1JNm2lSfv0c/m2B5kmgh/WVoGH1xjGgmR7+8rAgxJul5c2gnaGBoKV1xjShHv/goFMsuCmJHP/U6nRPXvvVHv8ppRL5dw99ldX1xjihoHV1xj31xkChoIGhgaCJLAXVhaCNdcZEoRz/X0XTc9ruJRz/kF0WRhKI8Rz/oAAAAAAAAZWgYfXGSaCZHv83ztkWhysFzaCdoYGgpXXGTKEfADlKYnRpXmkc/9i9BB8J/LEfAFydJK5gJTGV1fXGUKGgdXXGVfXGWKGggaGBoIksBdWFoI11xlyhHP+QXRZGEojxHP9fRdNz2u4lHP9AAAAAAAABlaBh9cZhoJke/zfO2RaHKwXNoJ2hgaCldcZkoR8AOUpidGleaR7/2L0EHwn8sR7/+3ww6IAxlZXV9cZooaB1dcZt9cZwoaCBoYGgiSwF1YWgjXXGdKEc/1AkA+tHC1kc/sF68IwZqUkc/4QtiOTAiXWVoGH1xnmgmR7+1wo9cKPXDc2gnaGBoKV1xnyhHv/bc69gbnl1Hv/WdJtFHLa9HwBBxee1WMR1ldX1xoChoHV1xoX1xoihoIGhgaCJLAXVhaCNdcaMoRz/l+3+Clx6VRz/t9Ch7nzK2Rz+gtiOTAiXKZWgYfXGkaCZHv7bItDlYEGJzaCdoYGgpXXGlKEfAGJtdpxNwA0c/9Z0m0UctsEe/0B89BGKunWV1fXGmKGgdXXGnfXGoKGggaGBoIksBdWFoI11xqShHP+30KHufMrZHP+X7f4KXHpVHP+70ncbP3aNlaBh9capoJke/t41P3ztkWnNoJ2hgaCldcasoR8AYm12nE3ADR7/1nSbRRy2wR8Ad3Rhp2eF7ZXV9cawoaB1dca19ca4oaCBoYGgiSwF1YWgjXXGvKEc/sF68IwZqUkc/1AkA+tHC1kc/3ek7jZ+7R2VoGH1xsGgmR7+3Cj1wo9cKc2gnaGBoKV1xsShHv/bc69gbnl1HP/WdJtFHLa9HwAzbJJmTtpJldWV1WAYAAAB0YXJnZXRxskcAAAAAAAAAAHUuUEsHCDPQ6eEdDAAAHQwAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgAbAG1iLW1wLWdhcC0wNzU4OTkvYnl0ZW9yZGVyRkIXAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpabGl0dGxlUEsHCIU94xkGAAAABgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGAA0AG1iLW1wLWdhcC0wNzU4OTkvdmVyc2lvbkZCMABaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlozClBLBwjRnmdVAgAAAAIAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAACcAKQBtYi1tcC1nYXAtMDc1ODk5Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRGQiUAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjA2MzY0NTc3Mzc5NDY0MDEwNTEzMDAwMDAwMjY1MzI0NDA2NjUxNjJQSwcIsTkj3SgAAAAoAAAAUEsBAgAAAAAICAAAAAAAADPQ6eEdDAAAHQwAABkAAAAAAAAAAAAAAAAAAAAAAG1iLW1wLWdhcC0wNzU4OTkvZGF0YS5wa2xQSwECAAAAAAgIAAAAAAAAhT3jGQYAAAAGAAAAGgAAAAAAAAAAAAAAAABtDAAAbWItbXAtZ2FwLTA3NTg5OS9ieXRlb3JkZXJQSwECAAAAAAgIAAAAAAAA0Z5nVQIAAAACAAAAGAAAAAAAAAAAAAAAAADWDAAAbWItbXAtZ2FwLTA3NTg5OS92ZXJzaW9uUEsBAgAAAAAICAAAAAAAALE5I90oAAAAKAAAACcAAAAAAAAAAAAAAAAAUg0AAG1iLW1wLWdhcC0wNzU4OTkvLmRhdGEvc2VyaWFsaXphdGlvbl9pZFBLBgYsAAAAAAAAAB4DLQAAAAAAAAAAAAQAAAAAAAAABAAAAAAAAAAqAQAAAAAAAPgNAAAAAAAAUEsGBwAAAAAiDwAAAAAAAAEAAABQSwUGAAAAAAQABAAqAQAA+A0AAAAA" | ./matbench_mp_gap/mb-mp-gap-075899 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTEwMDQ0NC9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQBJMTMN9F9lHAAAAAAAAAABHAAAAAAAAAABlXXENKEcAAAAAAAAAAEdAHM6fMjTbf0cAAAAAAAAAAGVdcQ4oRwAAAAAAAAAARwAAAAAAAAAAR0AfhvhDyQKTZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAEkxMw30X2VgBAAAAYnESR0Aczp8yNNt/WAEAAABjcRNHQB+G+EPJApNYBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAVoAAAAAAAFgGAAAAdm9sdW1lcRdHQHA6nDM+H1t1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABSaHEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP+gAAAAAAABHP8jiuIbvnd1HP+1g3jw15kFlaBh9cSVYBgAAAG1hZ21vbXEmRwAAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAAUmhxKFgDAAAAeHl6cSldcSooR0ALcnMlO6PGRz/2ZxDHhoqRR0Ac8cDZ5geEZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/0AAAAAAAAEc/046jvIgxEUc/2sG8eGvMgmVoGH1xL2gmRwAAAAAAAAAAc2gnWAIAAABSaHEwaCldcTEoRz/yTEzDfRfZR0ABmxbOcZY2R0AKXIlwAwx1ZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/6AAAAAAAAEc/5jiuIbvnd0c/4p8hw8oZv2VoGH1xNmgmRwAAAAAAAAAAc2gnWAIAAABSaHE3aCldcTgoR0ALcnMlO6PGR0AUARPK/BBkR0ASWLOLx3xZZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/0AAAAAAAAEc/6cdR3kQYiUc/tPkOHlDN+WVoGH1xPWgmRwAAAAAAAAAAc2gnWAIAAABSaHE+aCldcT8oRz/yTEzDfRfZR0AXNNsAUzjbRz/kqbtPF9h6ZXV9cUAoaB1dcUF9cUIoaCBYAgAAAFNicUNoIksBdWFoI11xRChHP9AAAAAAAABHP8kE5xqA37lHP7dwwl/hZw5laBh9cUVoJkcAAAAAAAAAAHNoJ1gCAAAAU2JxRmgpXXFHKEc/8kxMw30X2Uc/9oXWPoipwEc/5xgaVl2X6GV1fXFIKGgdXXFJfXFKKGggaENoIksBdWFoI11xSyhHP+gAAAAAAABHP9N9jHK/kCNHP+LuGEv8LOJlaBh9cUxoJkcAAAAAAAAAAHNoJ1gCAAAAU2JxTWgpXXFOKEdAC3JzJTujxkdAAYu0EvCGnkdAEqZ/bLA0R2V1fXFPKGgdXXFQfXFRKGggaENoIksBdWFoI11xUihHP9AAAAAAAABHP+ZBOcagN+5HP9ojz2gHpj1laBh9cVNoJkcAAAAAAAAAAHNoJ1gCAAAAU2JxVGgpXXFVKEc/8kxMw30X2UdAFAjFKLyYL0dACcDxrjGcmWV1fXFWKGgdXXFXfXFYKGggaENoIksBdWFoI11xWShHP+gAAAAAAABHP+m+xjlfyBJHP+0R57QD0x5laBh9cVpoJkcAAAAAAAAAAHNoJ1gCAAAAU2JxW2gpXXFcKEdAC3JzJTujxkdAFy0popKxD0dAHKP0+P1PlmV1fXFdKGgdXXFefXFfKGggWAIAAABUYnFgaCJLAXVhaCNdcWEoRz/QAAAAAAAARz/gQiXk6/1qRz/phvQlgUPiZWgYfXFiaCZHAAAAAAAAAABzaCdYAgAAAFRicWNoKV1xZChHP/JMTMN9F9lHQA1Ft7zdWTJHQBkmZ66pUqNldX1xZShoHV1xZn1xZyhoIGhgaCJLAXVhaCNdcWgoRz/oAAAAAAAARz/fe7Q2KAUtRz/J5C9p+vB3ZWgYfXFpaCZHAAAAAAAAAABzaCdYAgAAAFRicWpoKV1xayhHQAtycyU7o8ZHQAxXhqeMXc1HP/mCQlR+v8BldX1xbChoHV1xbX1xbihoIGhgaCJLAXVhaCNdcW8oRz/QAAAAAAAARz+AiXk6/1ppRz/meQvafrweZWgYfXFwaCZHAAAAAAAAAABzaCdYAgAAAFRicXFoKV1xcihHP/JMTMN9F9lHP63GIqofbK1HQBYkDLcEMTpldX1xcyhoHV1xdH1xdShoIGhgaCJLAXVhaCNdcXYoRz/oAAAAAAAARz/vvdobFAKWRz/TDehLAofFZWgYfXF3aCZHAAAAAAAAAABzaCdYAgAAAFRicXhoKV1xeShHQAtycyU7o8ZHQByTEuzgnKVHQALF1xmJorRldWV1WAYAAAB0YXJnZXRxekcAAAAAAAAAAHUuUEsHCF3d52jQBwAA0AcAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgAoAG1iLW1wLWdhcC0xMDA0NDQvYnl0ZW9yZGVyRkIkAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWmxpdHRsZVBLBwiFPeMZBgAAAAYAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABgANABtYi1tcC1nYXAtMTAwNDQ0L3ZlcnNpb25GQjAAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMwpQSwcI0Z5nVQIAAAACAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAnACkAbWItbXAtZ2FwLTEwMDQ0NC8uZGF0YS9zZXJpYWxpemF0aW9uX2lkRkIlAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlowNjM2NDU3NzM3OTQ2NDAxMDUxMzAwMDAwMDE4OTY3ODExNjY4NjY2UEsHCNjGOzEoAAAAKAAAAFBLAQIAAAAACAgAAAAAAABd3edo0AcAANAHAAAZAAAAAAAAAAAAAAAAAAAAAABtYi1tcC1nYXAtMTAwNDQ0L2RhdGEucGtsUEsBAgAAAAAICAAAAAAAAIU94xkGAAAABgAAABoAAAAAAAAAAAAAAAAAIAgAAG1iLW1wLWdhcC0xMDA0NDQvYnl0ZW9yZGVyUEsBAgAAAAAICAAAAAAAANGeZ1UCAAAAAgAAABgAAAAAAAAAAAAAAAAAlggAAG1iLW1wLWdhcC0xMDA0NDQvdmVyc2lvblBLAQIAAAAACAgAAAAAAADYxjsxKAAAACgAAAAnAAAAAAAAAAAAAAAAABIJAABtYi1tcC1nYXAtMTAwNDQ0Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRQSwYGLAAAAAAAAAAeAy0AAAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAKgEAAAAAAAC4CQAAAAAAAFBLBgcAAAAA4goAAAAAAAABAAAAUEsFBgAAAAAEAAQAKgEAALgJAAAAAA==" | ./matbench_mp_gap/mb-mp-gap-100444 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-059416 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-038893 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-036812 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTAwNTA2My9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQAkqERiBKzlHvxKrfkiFVOlHP/0OWKCAErVlXXENKEc/8MZvpgAvUEdAB7mv2HVMiEc//Q5Yoy9EkWVdcQ4oR7/GylvDyxtyR7/AHYEvwGIFR0BYl9oLRADhZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdADQ6UfUyE5lgBAAAAYnESR0ANDpRhX/12WAEAAABjcRNHQFiX3gEEi9dYBQAAAGFscGhhcRRHQE4NaPeUdzZYBAAAAGJldGFxFUdATg1pClyiblgFAAAAZ2FtbWFxFkdATgBcEm2Qa1gGAAAAdm9sdW1lcRdHQIy5Bb7wCip1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABacnEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP+/vCkQmoH5HP+/vCkQmoH5HPy4uPlbSypNlaBh9cSVYBgAAAG1hZ21vbXEmRwAAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAAWnJxKFgDAAAAeHl6cSldcSooR0AQvbWQ3Sy4R0AHrOhZczoYR0ANLVYiWNPEZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/fVRhgSRXzkc/fVRhgSRXzkc/oo3O4CJqDWVoGH1xL2gmRwAAAAAAAAAAc2gnWAIAAABacnEwaCldcTEoRz+YJRnkH67rRz+RErNtoPfWR0AMuhC20hMyZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/cBd3leOsjUc/cBd3leOsjUc/stmd643YGmVoGH1xNmgmRwAAAAAAAAAAc2gnWAIAAABacnE3aCldcTgoRz9rk3h90uAERz9jf9f42guwR0AdB/ABN0X/ZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/7/wfav9SW0c/7/wfav9SW0c/vHUa3ylwvWVoGH1xPWgmRwAAAAAAAAAAc2gnWAIAAABacnE+aCldcT8oR0AQsFeiauZ3R0AHmgEGVat5R0AtIZN9bBVMZXV9cUAoaB1dcUF9cUIoaCBoIWgiSwF1YWgjXXFDKEc/gu/4dfL2V0c/gu/4dfL2V0c/wtTSqrJFuGVoGH1xRGgmRwAAAAAAAAAAc2gnWAIAAABacnFFaCldcUYoRz+JxrngYgOERz+COgaZf9jcR0AtAycbylUqZXV9cUcoaB1dcUh9cUkoaCBoIWgiSwF1YWgjXXFKKEc/7/I0D3we30c/7/I0D3we30c/x7pECRlZQmVoGH1xS2gmRwAAAAAAAAAAc2gnWAIAAABacnFMaCldcU0oR0AQnZyjeVeHR0AHf4PjaiouR0A13IXZNe6UZXV9cU4oaB1dcU99cVAoaCBoIWgiSwF1YWgjXXFRKEc/gJkya40W1Ec/gJkya40W1Ec/zFQct8arS2VoGH1xUmgmRwAAAAAAAAAAc2gnWAIAAABacnFTaCldcVQoR792LZjBzizwR79vXTMqatRoR0A1zQybrVVoZXV9cVUoaB1dcVZ9cVcoaCBoIWgiSwF1YWgjXXFYKEc/aaD7YrdaSkc/aaD7YrdaSkc/0JHzcn320WVoGH1xWWgmRwAAAAAAAAAAc2gnWAIAAABacnFaaCldcVsoR7+g4nWpvYoYR7+X4Nxmvl2cR0A5exkRrKv0ZXV9cVwoaB1dcV19cV4oaCBoIWgiSwF1YWgjXXFfKEc/7/s++xKFaUc/7/s++xKFaUc/0vfK8oITFWVoGH1xYGgmRwAAAAAAAAAAc2gnWAIAAABacnFhaCldcWIoR0AQjh04GoATR0AHaZkgksXJR0BAZHsziixHZXV9cWMoaB1dcWR9cWUoaCBoIWgiSwF1YWgjXXFmKEc/eqWgYwxpxkc/eqWgYwxpxkc/1Ul6MfVFkmVoGH1xZ2gmRwAAAAAAAAAAc2gnWAIAAABacnFoaCldcWkoR7+gWgfM/aZwR7+XH+paQDFGR0BAXyWrlmoxZXV9cWooaB1dcWt9cWwoaCBoIWgiSwF1YWgjXXFtKEc/XojBsA4lMkc/XojBsA4lMkc/17DGkZ9PO2VoGH1xbmgmRwAAAAAAAAAAc2gnWAIAAABacnFvaCldcXAoR7+tvjW1jNsyR7+lCAuBiR9DR0BCNd5P1fYpZXV9cXEoaB1dcXJ9cXMoaCBoIWgiSwF1YWgjXXF0KEc/7++0o4s0/Uc/7++0o4s0/Uc/2haVTYSYK2VoGH1xdWgmRz9QYk3S8an8c2gnWAIAAABacnF2aCldcXcoR0AQc8ehbYi6R0AHRFsZTxbjR0BF3LUeMMuCZXV9cXgoaB1dcXl9cXooaCBoIWgiSwF1YWgjXXF7KEc/dVU8R4P4HUc/dVU8R4P4HUc/3Gg6EJ0GNmVoGH1xfGgmRz9QYk3S8an8c2gnWAIAAABacnF9aCldcX4oR7+tR4t0QUmrR7+ktCIgEtdsR0BF12TIYBwtZXV9cX8oaB1dcYB9cYEoaCBoIWgiSwF1YWgjXXGCKEc/N14Vif/zlkc/N14Vif/zlkc/3s/y3ID03WVoGH1xg2gmRwAAAAAAAAAAc2gnWAIAAABacnGEaCldcYUoR7+1j884dnPLR7+ufiuo3BUiR0BHrlfKW3tdZXV9cYYoaB1dcYd9cYgoaCBoIWgiSwF1YWgjXXGJKEc/VmrQg2WloUc/VmrQg2WloUc/4JZ1Yle4+mVoGH1ximgmRwAAAAAAAAAAc2gnWAIAAABacnGLaCldcYwoR7+2KJoHsNp9R7+vVj/987bgR0BJf8Drz0mwZXV9cY0oaB1dcY59cY8oaCBoIWgiSwF1YWgjXXGQKEc/Vf0MsJKEfEc/Vf0MsJKEfEc/4cXnldDiMGVoGH1xkWgmRwAAAAAAAAAAc2gnWAIAAABacnGSaCldcZMoR7+34AZFwk7qR7+w4dfWbmIoR0BLUikIvw54ZXV9cZQoaB1dcZV9cZYoaCBoIWgiSwF1YWgjXXGXKEc/U2iH08lrQ0c/U2iSkJDcXEc/4vVp1FoJ4mVoGH1xmGgmRwAAAAAAAAAAc2gnWAIAAABacnGZaCldcZooR7+5u6Ccp7cqR7+yMiSY2JTuR0BNJJouAgIJZXV9cZsoaB1dcZx9cZ0oaCBoIWgiSwF1YWgjXXGeKEc/S6qAcapnR0c/S6qAcapnR0c/5CUifrAJSGVoGH1xn2gmRwAAAAAAAAAAc2gnWAIAAABacnGgaCldcaEoR7+7ycf1Nq5RR7+zpjDGfyo5R0BO90k3Z1AOZXV9caIoaB1dcaN9caQoaCBoIWgiSwF1YWgjXXGlKEc/Qpvj9rT9o0c/Qpvj9rT9o0c/5VTQwiTTHmVoGH1xpmgmRwAAAAAAAAAAc2gnWAIAAABacnGnaCldcagoR7+9xlDK3Md1R7+1Dccq6wQOR0BQZPfvPQ+LZXV9cakoaB1dcap9casoaCBoIWgiSwF1YWgjXXGsKEc/SCBdQqZCykc/SCBdQqZCykc/57N9aw/DbGVoGH1xrWgmRwAAAAAAAAAAc2gnWAIAAABacnGuaCldca8oR7/AfBeht10oR7+3UBjnvzayR0BSN0JXhn/vZXV9cbAoaB1dcbF9cbIoaCBoIWgiSwF1YWgjXXGzKEc/PepLuLsc90c/PepLuLsc90c/5oRVv/sCP2VoGH1xtGgmRwAAAAAAAAAAc2gnWAIAAABacnG1aCldcbYoR7+/lUb8RVemR7+2VSP/1eVcR0BRTjVb0al1ZXV9cbcoaB1dcbh9cbkoaCBoIWgiSwF1YWgjXXG6KEc/UlM0BJRkUUc/UlM0BJRkUUc/6OKFEB+yzmVoGH1xu2gmRwAAAAAAAAAAc2gnWAIAAABacnG8aCldcb0oR7/BH2MPWEu0R7+4NweyUrukR0BTIDzOYkrkZXV9cb4oaB1dcb99ccAoaCBoIWgiSwF1YWgjXXHBKEc/VDldbsYGX0c/VDldbsYGX0c/6hHZ/OERqGVoGH1xwmgmRwAAAAAAAAAAc2gnWAIAAABacnHDaCldccQoR7/B5322joP7R7+5UgTwZwMdR0BUCWLRS8zTZXV9ccUoaB1dccZ9cccoaCBoIWgiSwF1YWgjXXHIKEc/UbChyOgQy0c/UbChyOgQy0c/60FlSrKAxmVoGH1xyWgmRwAAAAAAAAAAc2gnWAIAAABacnHKaCldccsoR7/C1O6QAIHTR7+6oc+C0hNuR0BU8qKFHF6JZXV9ccwoaB1dcc19cc4oaCBoIWgiSwF1YWgjXXHPKEc/USZjQRf4REc/USZYhFCHLEc/7HDaQtcVJWVoGH1x0GgmRwAAAAAAAAAAc2gnWAIAAABacnHRaCldcdIoR7/DsZWghiVPR7+72dx4mLqOR0BV29hMtFTVZXV9cdMoaB1dcdR9cdUoaCBoIWgiSwF1YWgjXXHWKEc/NiLXGoOO60c/NiLXGoOO60c/7aDi3rH8kmVoGH1x12gmRwAAAAAAAAAAc2gnWAIAAABacnHYaCldcdkoR7/E6400dNt8R7+9leAkHd92R0BWxVdRh6UAZXV9cdooaB1dcdt9cdwoaCBoIWgiSwF1YWgjXXHdKEc/UiSavwiT+Ec/UiSavwiT+Ec/7s+a/ZzOV2VoGH1x3mgmRwAAAAAAAAAAc2gnWAIAAABacnHfaCldceAoR7/FWWKZ7D3dR7++MTP2W0eoR0BXriu39RKxZXV9ceEoaB1dceJ9ceMoaCBYAQAAAE9x5GgiSwF1YWgjXXHlKEc/0BTT4hTdiEc/0BTT4hTdiEc/p6F/7PU2TWVoGH1x5mgmRwAAAAAAAAAAc2gnaORoKV1x5yhHP/C60f2bwhNHP+eo0nXF8VZHQBXPyHTzst5ldX1x6ChoHV1x6X1x6ihoIGjkaCJLAXVhaCNdcesoRz/oPdFMOGfQRz/oPdFMOGfQRz+blL28uYRGZWgYfXHsaCZHAAAAAAAAAABzaCdo5GgpXXHtKEdACWD1IBU6C0dAAfIK1vLohUdAFZqp/I84jWV1fXHuKGgdXXHvfXHwKGggaORoIksBdWFoI11x8ShHP8+dANdAbi9HP8+dANdAbi9HP7VrQGrUNEplaBh9cfJoJkcAAAAAAAAAAHNoJ2jkaCldcfMoRz/wVbme3Dm3Rz/nGdodjaYtR0AiQVuqedjCZXV9cfQoaB1dcfV9cfYoaCBo5GgiSwF1YWgjXXH3KEc/5+xnoiWvPEc/5+xnoiWvPEc/sKkId3LTMWVoGH1x+GgmRwAAAAAAAAAAc2gnaORoKV1x+ShHQAj9r+qW2gBHQAGr2P6bVxZHQCI8E2XKI1hldX1x+ihoHV1x+31x/ChoIGjkaCJLAXVhaCNdcf0oRz/ncDNOi/8nRz/ncDNOi/8nRz+6krMgfk+8ZWgYfXH+aCZHAAAAAAAAAABzaCdo5GgpXXH/KEdACG1W6Tre4EdAAUXHSDF8iEdAKb4rxo12yGV1fXIAAQAAKGgdXXIBAQAAfXICAQAAKGggaORoIksBdWFoI11yAwEAAChHP9A6lVI3L2xHP9A6lVI3L2xHP8QY/xTzghhlaBh9cgQBAABoJkcAAAAAAAAAAHNoJ2jkaCldcgUBAAAoRz/wkY7jpaQyRz/nbngMCjeIR0AwXeQTLtaIZXV9cgYBAAAoaB1dcgcBAAB9cggBAAAoaCBo5GgiSwF1YWgjXXIJAQAAKEc/6Fg0KVJeyEc/6Fg0KVJeyEc/wZ/0Jq3ps2VoGH1yCgEAAGgmRwAAAAAAAAAAc2gnaORoKV1yCwEAAChHQAlUPDmodLRHQAHpC+FjmalHQDBO9SY7LGRldX1yDAEAAChoHV1yDQEAAH1yDgEAAChoIGjkaCJLAXVhaCNdcg8BAAAoRz/nXbFGM5YFRz/nXbFGM5YFRz/GzOm9nlugZWgYfXIQAQAAaCZHAAAAAAAAAABzaCdo5GgpXXIRAQAAKEdACD7UpeeEk0dAASTkS25qX0dANCzN5M0C82V1fXISAQAAKGgdXXITAQAAfXIUAQAAKGggaORoIksBdWFoI11yFQEAAChHP9A0yAjCxzpHP9A0yAjCxzpHP82VcH+Z6SBlaBh9chYBAABoJkcAAAAAAAAAAHNoJ2jkaCldchcBAAAoRz/wVW08V9IBRz/nGW4uGTVvR0A3p+izL0MNZXV9chgBAAAoaB1dchkBAAB9choBAAAoaCBo5GgiSwF1YWgjXXIbAQAAKEc/6E6kUtsZQUc/6E6kUtsZQUc/yx9ihlz72WVoGH1yHAEAAGgmRwAAAAAAAAAAc2gnaORoKV1yHQEAAChHQAkvJv7OacBHQAHO0yo8A4JHQDeahCHRKlJldX1yHgEAAChoHV1yHwEAAH1yIAEAAChoIGjkaCJLAXVhaCNdciEBAAAoRz/PtlvyGTeKRz/PtlvyGTeKRz/RM4TSN0TmZWgYfXIiAQAAaCZHAAAAAAAAAABzaCdo5GgpXXIjAQAAKEc/77gMXygzoEc/5m29yvJ49EdAO1bjsm0PI2V1fXIkAQAAKGgdXXIlAQAAfXImAQAAKGggaORoIksBdWFoI11yJwEAAChHP+f1IeWt7zxHP+f1IeWt7zxHP9ACbS0qBLZlaBh9cigBAABoJkcAAAAAAAAAAHNoJ2jkaCldcikBAAAoR0AIw1pny/o5R0ABgplvxA1QR0A7U7FgtsUMZXV9cioBAAAoaB1dcisBAAB9ciwBAAAoaCBo5GgiSwF1YWgjXXItAQAAKEc/53UZl6utw0c/53UZl6utw0c/0n2qWocKIGVoGH1yLgEAAGgmRwAAAAAAAAAAc2gnaORoKV1yLwEAAChHQAgu+TYI4vFHQAEZrdswiu9HQD8Vkelg6adldX1yMAEAAChoHV1yMQEAAH1yMgEAAChoIGjkaCJLAXVhaCNdcjMBAAAoRz/QPrO6LDY/Rz/QPrO6LDY/Rz/V5hNlDJ8gZWgYfXI0AQAAaCZHAAAAAAAAAABzaCdo5GgpXXI1AQAAKEc/8A7YHMm4rEc/5rWcpnG7zEdAQUp6SNeRRGV1fXI2AQAAKGgdXXI3AQAAfXI4AQAAKGggaORoIksBdWFoI11yOQEAAChHP+hTtzHa7nlHP+hTtzHa7nlHP9SrDCgBe9ZlaBh9cjoBAABoJkcAAAAAAAAAAHNoJ2jkaCldcjsBAAAoR0AJC/rfGcNkR0ABtfROJbMyR0BBQ8l0UL8eZXV9cjwBAAAoaB1dcj0BAAB9cj4BAAAoaCBo5GgiSwF1YWgjXXI/AQAAKEc/z8C/o0ORekc/z8C/o0ORekc/2E9axqAM+2VoGH1yQAEAAGgmRwAAAAAAAAAAc2gnaORoKV1yQQEAAChHP+8g7iakhiBHP+YC4pK7myNHQEMiM9ZEdFxldX1yQgEAAChoHV1yQwEAAH1yRAEAAChoIGjkaCJLAXVhaCNdckUBAAAoRz/n+hU/gkv1Rz/n+hU/gkv1Rz/XHbuycy9NZWgYfXJGAQAAaCZHAAAAAAAAAABzaCdo5GgpXXJHAQAAKEdACKANghdPCUdAAWmjZw2Y0kdAQyBUx3f9DGV1fXJIAQAAKGgdXXJJAQAAfXJKAQAAKGggaORoIksBdWFoI11ySwEAAChHP+d2gIp+9H1HP+d2gIp+9H1HP9mZzWZPwDJlaBh9ckwBAABoJkcAAAAAAAAAAHNoJ2jkaCldck0BAAAoR0AIB+8ge+XeR0AA/hL9KFueR0BFAbTT5d9HZXV9ck4BAAAoaB1dck8BAAB9clABAAAoaCBo5GgiSwF1YWgjXXJRAQAAKEc/0FdKfyospEc/0FdKfyospEc/3P/TVKZKgmVoGH1yUgEAAGgmRwAAAAAAAAAAc2gnaORoKV1yUwEAAChHP++vbPT34ZVHP+ZnpQa7W3xHQEbALr1tqpxldX1yVAEAAChoHV1yVQEAAH1yVgEAAChoIGjkaCJLAXVhaCNdclcBAAAoRz/P1FrLJ7EfRz/P1FrLJ7EfRz/far66u1JRZWgYfXJYAQAAaCZHAAAAAAAAAABzaCdo5GgpXXJZAQAAKEc/7pOD+Bfybkc/5Z7j1Y2IJUdASJi/r7OU42V1fXJaAQAAKGgdXXJbAQAAfXJcAQAAKGggaORoIksBdWFoI11yXQEAAChHP+hVQYsPvg5HP+hVQYsPvg5HP9vHJxC7DjNlaBh9cl4BAABoJkcAAAAAAAAAAHNoJ2jkaCldcl8BAAAoR0AI5RYVyZyFR0ABmnPPvPxkR0BGurEU6GFaZXV9cmABAAAoaB1dcmEBAAB9cmIBAAAoaCBo5GgiSwF1YWgjXXJjAQAAKEc/5/r/wGoS7kc/5/r/wGoS7kc/3joGtv5ZYmVoGH1yZAEAAGgmRwAAAAAAAAAAc2gnaORoKV1yZQEAAChHQAh4gA3fl4dHQAFNq6SNCSZHQEiXWE788b5ldX1yZgEAAChoHV1yZwEAAH1yaAEAAChoIGjkaCJLAXVhaCNdcmkBAAAoRz/P7Hr9dzmdRz/P7Hr9dzmdRz/g5BdcEiSbZWgYfXJqAQAAaCZHAAAAAAAAAABzaCdo5GgpXXJrAQAAKEc/7nbpfabO9kc/5YqqFTliRkdASmpkU5AramV1fXJsAQAAKGgdXXJtAQAAfXJuAQAAKGggaORoIksBdWFoI11ybwEAAChHP8/rdVlzY9BHP8/rdVlzY9BHP+ITiIh6N39laBh9cnABAABoJkcAAAAAAAAAAHNoJ2jkaCldcnEBAAAoRz/uP8/9jV4HRz/lY7QC26AzR0BMPMpDM0LWZXV9cnIBAAAoaB1dcnMBAAB9cnQBAAAoaCBo5GgiSwF1YWgjXXJ1AQAAKEc/5/8nDLRDaUc/5/8nDLRDaUc/4EvuQA8OvGVoGH1ydgEAAGgmRwAAAAAAAAAAc2gnaORoKV1ydwEAAChHQAhvXxpiS7dHQAFHNyysz89HQEppL+ZU4M5ldX1yeAEAAChoHV1yeQEAAH1yegEAAChoIGjkaCJLAXVhaCNdcnsBAAAoRz/n/aUcWafnRz/n/aUcWafnRz/he4LoUjleZWgYfXJ8AQAAaCZHAAAAAAAAAABzaCdo5GgpXXJ9AQAAKEdACGBHE0AONEdAATyK5mjIb0dATDu6L99MHGV1fXJ+AQAAKGgdXXJ/AQAAfXKAAQAAKGggaORoIksBdWFoI11ygQEAAChHP8/tCa4pnopHP8/tCa4pnopHP+NC43Su/oZlaBh9coIBAABoJkcAAAAAAAAAAHNoJ2jkaCldcoMBAAAoRz/uC3S4h2yHRz/lPq59037zR0BODxdyLDIGZXV9coQBAAAoaB1dcoUBAAB9coYBAAAoaCBo5GgiSwF1YWgjXXKHAQAAKEc/5/70Rw8zJEc/5/70Rw8zJEc/4qrGd8kPU2VoGH1yiAEAAGgmRwAAAAAAAAAAc2gnaORoKV1yiQEAAChHQAhUJrvvCOBHQAEz984gvR1HQE4N8L7JAUdldX1yigEAAChoHV1yiwEAAH1yjAEAAChoIGjkaCJLAXVhaCNdco0BAAAoRz/P7iyY5T60Rz/P7iyY5T60Rz/kckU3FsKPZWgYfXKOAQAAaCZHAAAAAAAAAABzaCdo5GgpXXKPAQAAKEc/7dahUdnvmEc/5RlUBq3cTEdAT+Fth2i6ymV1fXKQAQAAKGgdXXKRAQAAfXKSAQAAKGggaORoIksBdWFoI11ykwEAAChHP+f+i3ZATiRHP+f+i3ZATiRHP+PaN/oXXcBlaBh9cpQBAABoJkcAAAAAAAAAAHNoJ2jkaCldcpUBAAAoR0AIRjcHDkbZR0ABKh0PvnWvR0BP4FT1+N5wZXV9cpYBAAAoaB1dcpcBAAB9cpgBAAAoaCBo5GgiSwF1YWgjXXKZAQAAKEc/z+436/+X+0c/z+436/+X+0c/5aGp3mBIFGVoGH1ymgEAAGgmRwAAAAAAAAAAc2gnaORoKV1ymwEAAChHP+2gqEByz21HP+TzKegmihlHQFDZ4gv6LqhldX1ynAEAAChoHV1ynQEAAH1yngEAAChoIGjkaCJLAXVhaCNdcp8BAAAoRz/n/kym96YURz/n/kym96YURz/lCamXPZ7HZWgYfXKgAQAAaCZHAAAAAAAAAABzaCdo5GgpXXKhAQAAKEdACDhzXASASkdAASBhdSr/EEdAUNld3Fdq/mV1fXKiAQAAKGgdXXKjAQAAfXKkAQAAKGggaORoIksBdWFoI11ypQEAAChHP8/3eJz0wuBHP8/3eJz0wuBHP+bQ0uEN92RlaBh9cqYBAABoJkcAAAAAAAAAAHNoJ2jkaCldcqcBAAAoRz/tdGF+jAzhRz/k09sLyXZ1R0BRwvA2v8roZXV9cqgBAAAoaB1dcqkBAAB9cqoBAAAoaCBo5GgiSwF1YWgjXXKrAQAAKEc/5/6fUmsx0kc/5/6fUmsx0kc/5jkGzKLbYmVoGH1yrAEAAGgmRwAAAAAAAAAAc2gnaORoKV1yrQEAAChHQAgrSSJjAdFHQAEXElq9Gj5HQFHCha/QnDlldX1yrgEAAChoHV1yrwEAAH1ysAEAAChoIGjkaCJLAXVhaCNdcrEBAAAoRz/QAZF6kUCwRz/QAZF6kUCwRz/n/+ss3zEoZWgYfXKyAQAAaCZHAAAAAAAAAABzaCdo5GgpXXKzAQAAKEc/7UqlUfphakc/5LZYN5MLUkdAUqv16rgxcGV1fXK0AQAAKGgdXXK1AQAAfXK2AQAAKGggaORoIksBdWFoI11ytwEAAChHP+gBhqLx3P1HP+gBhqLx3P1HP+doIEUZ5YRlaBh9crgBAABoJkcAAAAAAAAAAHNoJ2jkaCldcrkBAAAoR0AIINabufOZR0ABD68vSX/lR0BSq4wzFE+sZXV9croBAAAoaB1dcrsBAAB9crwBAAAoaCBo5GgiSwF1YWgjXXK9AQAAKEc/0AJkM1tMLEc/0AJkM1tMLEc/6S9JU9v1NGVoGH1yvgEAAGgmRwAAAAAAAAAAc2gnaORoKV1yvwEAAChHP+0WW2sR961HP+SRXvprwVZHQFOVHxyxskFldX1ywAEAAChoHV1ywQEAAH1ywgEAAChoIGjkaCJLAXVhaCNdcsMBAAAoRz/oBQQQsNJFRz/oBQQQsNJFRz/olyWWPJfhZWgYfXLEAQAAaCZHAAAAAAAAAABzaCdo5GgpXXLFAQAAKEdACBcCX6GFGEdAAQi78Zz4bEdAU5SHe6QU4WV1fXLGAQAAKGgdXXLHAQAAfXLIAQAAKGggaORoIksBdWFoI11yyQEAAChHP8/2kCovKI1HP8/2kCovKI1HP+pfGYXjA3BlaBh9csoBAABoJkcAAAAAAAAAAHNoJ2jkaCldcssBAAAoRz/s0VqNfYKaRz/kYJQOMwu9R0BUfoMkGqiqZXV9cswBAAAoaB1dcs0BAAB9cs4BAAAoaCBo5GgiSwF1YWgjXXLPAQAAKEc/6AS2bbrDi0c/6AS2bbrDi0c/6caabirV7WVoGH1y0AEAAGgmRwAAAAAAAAAAc2gnaORoKV1y0QEAAChHQAgJLwQJEkRHQAD+9T7nC9dHQFR9vOy0mSJldX1y0gEAAChoHV1y0wEAAH1y1AEAAChoIGjkaCJLAXVhaCNdctUBAAAoRz/P43JAOVYNRz/P43JAOVYNRz/rjwJ2/bhSZWgYfXLWAQAAaCZHAAAAAAAAAABzaCdo5GgpXXLXAQAAKEc/7IcyzeuPT0c/5CwkirdTp0dAVWfxS5Iun2V1fXLYAQAAKGgdXXLZAQAAfXLaAQAAKGggaORoIksBdWFoI11y2wEAAChHP8/SfyjVC2BHP8/SfyjVC2BHP+y+5/egivplaBh9ctwBAABoJkcAAAAAAAAAAHNoJ2jkaCldct0BAAAoRz/sP1Fl5F2gRz/j+VDOYO9/R0BWUWC97MdGZXV9ct4BAAAoaB1dct8BAAB9cuABAAAoaCBo5GgiSwF1YWgjXXLhAQAAKEc/5/9OLrcil0c/5/9OLrcil0c/6vaV+VEPPGVoGH1y4gEAAGgmRwAAAAAAAAAAc2gnaORoKV1y4wEAAChHQAf1+6+xVHNHQADxYZa85PZHQFVnNNApAdpldX1y5AEAAChoHV1y5QEAAH1y5gEAAChoIGjkaCJLAXVhaCNdcucBAAAoRz/n/BFuEYCGRz/n/BFuEYCGRz/sJl1x9hGVZWgYfXLoAQAAaCZHAAAAAAAAAABzaCdo5GgpXXLpAQAAKEdAB+URG6FXsEdAAOVradFuuUdAVlCUcb7XoWV1fXLqAQAAKGgdXXLrAQAAfXLsAQAAKGggaORoIksBdWFoI11y7QEAAChHP8+QxnbHXKBHP8+QxnbHXKBHP+3wJfKt3PNlaBh9cu4BAABoJkcAAAAAAAAAAHNoJ2jkaCldcu8BAAAoRz/rxA+K5wJNRz/joijirHCcR0BXO4Bc4LqtZXV9cvABAAAoaB1dcvEBAAB9cvIBAAAoaCBo5GgiSwF1YWgjXXLzAQAAKEc/5/WtpsHLPEc/5/WtpsHLPEc/7VaAf8ItDGVoGH1y9AEAAGgmRwAAAAAAAAAAc2gnaORoKV1y9QEAAChHQAfQ1EnyptpHQADXHAbn3llHQFc6I4+LFpdldX1y9gEAAChoHV1y9wEAAH1y+AEAAChoIGjkaCJLAXVhaCNdcvkBAAAoRz/Pmz/3ZtRKRz/Pmz/3ZtRKRz/vH0PCd4lOZWgYfXL6AQAAaCZHAAAAAAAAAABzaCdo5GgpXXL7AQAAKEc/65kSwrc+WUc/44PDWj2bYEdAWCSIJGfBVmV1fXL8AQAAKGgdXXL9AQAAfXL+AQAAKGggaORoIksBdWFoI11y/wEAAChHP+fzHiUEG25HP+fzHiUEG25HP+6GMSydwsllaBh9cgACAABoJkcAAAAAAAAAAHNoJ2jkaCldcgECAAAoR0AHwKBfbfaPR0AAy6cDYz4uR0BYI3aWklSvZXV9cgICAAAoaB1dcgMCAAB9cgQCAAAoaCBo5GgiSwF1YWgjXXIFAgAAKEc/53M3b63i0kc/53M3b63i0kc/78PJ+YjCh2VoGH1yBgIAAGgmRwAAAAAAAAAAc2gnaORoKV1yBwIAAChHQAcsYqlml4tHQABi1IX67p5HQFkT6zn+FoVldWV1WAYAAAB0YXJnZXRyCAIAAEcAAAAAAAAAAHUuUEsHCFKpauaMJwAAjCcAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgAsAG1iLW1wLWdhcC0wMDUwNjMvYnl0ZW9yZGVyRkIoAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpsaXR0bGVQSwcIhT3jGQYAAAAGAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAYADQAbWItbXAtZ2FwLTAwNTA2My92ZXJzaW9uRkIwAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjMKUEsHCNGeZ1UCAAAAAgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAJwApAG1iLW1wLWdhcC0wMDUwNjMvLmRhdGEvc2VyaWFsaXphdGlvbl9pZEZCJQBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMDYzNjQ1NzczNzk0NjQwMTA1MTMwMDAwMDAyNzkzNjcxNDIwNzg2M1BLBwhZb3hPKAAAACgAAABQSwECAAAAAAgIAAAAAAAAUqlq5ownAACMJwAAGQAAAAAAAAAAAAAAAAAAAAAAbWItbXAtZ2FwLTAwNTA2My9kYXRhLnBrbFBLAQIAAAAACAgAAAAAAACFPeMZBgAAAAYAAAAaAAAAAAAAAAAAAAAAANwnAABtYi1tcC1nYXAtMDA1MDYzL2J5dGVvcmRlclBLAQIAAAAACAgAAAAAAADRnmdVAgAAAAIAAAAYAAAAAAAAAAAAAAAAAFYoAABtYi1tcC1nYXAtMDA1MDYzL3ZlcnNpb25QSwECAAAAAAgIAAAAAAAAWW94TygAAAAoAAAAJwAAAAAAAAAAAAAAAADSKAAAbWItbXAtZ2FwLTAwNTA2My8uZGF0YS9zZXJpYWxpemF0aW9uX2lkUEsGBiwAAAAAAAAAHgMtAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAACoBAAAAAAAAeCkAAAAAAABQSwYHAAAAAKIqAAAAAAAAAQAAAFBLBQYAAAAABAAEACoBAAB4KQAAAAA=" | ./matbench_mp_gap/mb-mp-gap-005063 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-076915 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-034568 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-089208 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-068165 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-076991 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-029990 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-027663 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-007424 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-105424 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-047909 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA0ODkzOS9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQCT8EdRozXRHv3c0h3EjAuRHwBNdse1NddVlXXENKEfAHkD8bSNu8EdAHRUMDis77kfAE1x7CN/NhmVdcQ4oR79oTN2pPfxlR792bbrDitm4R0AnG9g/8olKZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAJxxnMepJ7FgBAAAAYnESR0AnG6mC/5JJWAEAAABjcRNHQCcb2HhC0e5YBQAAAGFscGhhcRRHQFyxnHr5ZrpYBAAAAGJldGFxFUdAXLI6jgEBOFgFAAAAZ2FtbWFxFkdAXLIVjBsoi1gGAAAAdm9sdW1lcRdHQIuCyMPoemF1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABDZXEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP9430pS33XxHP+3R3Pyaxb9HP+alhhFRjA9laBh9cSVYBgAAAG1hZ21vbXEmRz/t2yLQ5WBCc1gFAAAAbGFiZWxxJ1gCAAAAQ2VxKFgDAAAAeHl6cSldcSooR8AAxRDJ8gBxR0AbExglj9AsRz/2FwUNidRUZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/7dG4OUHrB0c/5qUNgJwcrEc/3jcJtzjm0WVoGH1xL2gmRz/svGp++dsjc2gnWAIAAABDZXEwaCldcTEoR0ARscYVfBSQR0AUjGt7Kx7KR8AD2tldSvx8ZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/7xtuH+4x90c/ypN8CLoN2Ec/26MS6hKC5GVoGH1xNmgmRz/sSbpeNT99c2gnWAIAAABDZXE3aCldcTgoR0AhQX6qLHk6Rz/4BuT8GqDAR7/nGaCZ/Jv4ZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/5qUInbNZtEc/3jdD7sJAAUc/7dGkYnVrEWVoGH1xPWgmRz/s7ZFocrAhc2gnWAIAAABDZXE+aCldcT8oR0AOz0DIsItfR0ALY0whYS/QR0AUOOS95gjvZXV9cUAoaB1dcUF9cUIoaCBoIWgiSwF1YWgjXXFDKEc/26MLvflKWUc/7xtdGInkm0c/ypQ5HQIZYGVoGH1xRGgmRz/vjU/fO2Rac2gnWAIAAABDZXFFaCldcUYoR8AGk7RDNE9HR0AcQZao3e2GR8ARli3tjgrjZXV9cUcoaB1dcUh9cUkoaCBoIWgiSwF1YWgjXXFKKEc/7/42BiFXPkc/7/5OFAojGkc/7/5TfSqjF2VoGH1xS2gmRz/tFocrAgxKc2gnWAIAAABDZXFMaCldcU0oR0AHZr6/Pk+dR0AdCBnAfZvBRz/99NFdaSaoZXV9cU4oaB1dcU99cVAoaCBoIWgiSwF1YWgjXXFRKEc/ypRxfBkrH0c/26MCTg3/80c/7xuYVyRUHWVoGH1xUmgmRz/vtkWhysCDc2gnWAIAAABDZXFTaCldcVQoR7/xcWagBgtNR0AJEJfdD4yKR0AgRf4bFz+5ZXV9cVUoaB1dcVZ9cVcoaCBoIWgiSwF1YWgjXXFYKEc/3/z6Zw7X30c/3/0HMfh1nUc/3/1HqWHjoGVoGH1xWWgmRz/tocrAgxJvc2gnWAIAAABDZXFaaCldcVsoRz/3Ze0jJPHcR0ANBvEUxDD6Rz/t9Nk5R8WYZXV9cVwoaB1dcV19cV4oaCBYAgAAAEdlcV9oIksBdWFoI11xYChHP+tWn+S3TzdHP93jGFMzAuJHP+SH0gvQ7pplaBh9cWFoJkc/km6XjU/fO3NoJ1gCAAAAR2VxYmgpXXFjKEdAFbg7ZOumaEdACxha4J9Fakc/8EOLMcdIGGV1fXFkKGgdXXFlfXFmKGggaF9oIksBdWFoI11xZyhHP9atVzumHmJHP8Iff3cuiq1HP+7xjujmiOFlaBh9cWhoJkc/km6XjU/fO3NoJ1gCAAAAR2VxaWgpXXFqKEdABSbl06QIv0c/8FqN7ahdlEdAIYtUvPFKQmV1fXFrKGgdXXFsfXFtKGggaF9oIksBdWFoI11xbihHP8Ie/MVi9hlHP+7xmIPE8QtHP9atifvsyu9laBh9cW9oJkc/km6XjU/fO3NoJ1gCAAAAR2VxcGgpXXFxKEfAF1FbwV6FU0dAHBx9iTcgWUe/9FkZ9IRuLGV1fXFyKGgdXXFzfXF0KGggaF9oIksBdWFoI11xdShHP+SIAjJfTcNHP+tW5GhJ61xHP93jYCGoxzRlaBh9cXZoJkc/km6XjU/fO3NoJ1gCAAAAR2Vxd2gpXXF4KEc/0TEQlWN+SEdAGNJjGdekIEe//YgpdMfZ0GV1fXF5KGgdXXF6fXF7KGggaF9oIksBdWFoI11xfChHP93jEJDG4idHP+SHtG8y6LZHP+tWlbOF/t1laBh9cX1oJkc/km6XjU/fO3NoJ1gCAAAAR2VxfmgpXXF/KEc/puomXSUm+EdAEqD8dWOkakdAEgT4nuqg9mV1fXGAKGgdXXGBfXGCKGggaF9oIksBdWFoI11xgyhHP+7xbFlElNpHP9atNcMwa9lHP8IfM2GBT0tlaBh9cYRoJkc/km6XjU/fO3NoJ1gCAAAAR2VxhWgpXXGGKEdAHdyeY/3mS0dABI8UU6q3+0fAEwsJs907C2V1fXGHKGgdXXGIfXGJKGggWAEAAABTcYpoIksBdWFoI11xiyhHP+vy1BK8RUBHP+YLiqKwxINHP+YIWv18mAFlaBh9cYxoJke/iJN0vGp++nNoJ1gBAAAAU3GNaCldcY4oR0APnFTdTlDOR0AUAAgXRplMRz/ZHHY0Yb1QZXV9cY8oaB1dcZB9cZEoaCBoimgiSwF1YWgjXXGSKEc/yC0IIODLMUc/1+VT93jy20c/yCBM/If7YmVoGH1xk2gmR7+Ik3S8an76c2gnaI1oKV1xlChHv+r4V1Ukeo5HQAWzPXhQs7tHv+FnGe36XFRldX1xlShoHV1xln1xlyhoIGiKaCJLAXVhaCNdcZgoRz/jgNR2ZGBSRz/S6O2KBqmSRz/iqf+INe76ZWgYfXGZaCZHv4BiTdLxqfxzaCdojWgpXXGaKEdAEKIj+9lF5kdAASHqgo6j9kdAAt2PfcH5JGV1fXGbKGgdXXGcfXGdKGggaIpoIksBdWFoI11xnihHP9LojtTvhgpHP+Kp7cpIYxtHP+OAqkSMoeRlaBh9cZ9oJke/gGJN0vGp/HNoJ2iNaCldcaAoR7/1AxLsrYcQR0AQ8SRv/mgKR0AGTq4lTwYGZXV9caEoaB1dcaJ9caMoaCBoimgiSwF1YWgjXXGkKEc/2IwHX8W4W0c/6QLd4JtgxEc/1AtLTTBfbmVoGH1xpWgmR7+EeuFHrhR7c2gnaI1oKV1xpihHv/42NkNQjDhHQBa3ETNPdCxHwAAr3eatUsRldX1xpyhoHV1xqH1xqShoIGiKaCJLAXVhaCNdcaooRz/mC2kPYx9fRz/mCFP8Vn06Rz/r8p0w0tuwZWgYfXGraCZHv4iTdLxqfvpzaCdojWgpXXGsKEdAACS2jPbGD0dAE/0lH3Bs8EdAC2Lo7/BGBGV1fXGtKGgdXXGufXGvKGggaIpoIksBdWFoI11xsChHP+KpocoUtptHP+OAYWmnY4dHP9LntYZfKjJlaBh9cbFoJke/gGJN0vGp/HNoJ2iNaCldcbIoRz/4JMx5NrTAR0ARtCG4rAD5R8AC4eoB7w+eZXV9cbMoaB1dcbR9cbUoaCBoimgiSwF1YWgjXXG2KEc/7EXqyzp7fEc/6gXCcdUEf0c/0gYI2JavhGVoGH1xt2gmR7+EeuFHrhR7c2gnaI1oKV1xuChHQAjzcD2t3mFHQBefoWN1LfhHwBPW5p+Dp41ldX1xuShoHV1xun1xuyhoIGiKaCJLAXVhaCNdcbwoRz/rRGg0ccyhRz/Alclq7YmxRz/ipfC1NFTGZWgYfXG9aCZHv3iTdLxqfvpzaCdojWgpXXG+KEdAH9XKFqwdYEc/7eOePyPVh0c//7FJLG5jkGV1fXG/KGgdXXHAfXHBKGggaIpoIksBdWFoI11xwihHP+QlQk8E9d5HP9aIdC1ObMtHP7UudYlEC/NlaBh9ccNoJke/eJN0vGp++nNoJ2iNaCldccQoR0APibgUSzMwR0AEcj/ciyV+R8AOXnHY/jCgZXV9ccUoaB1dccZ9cccoaCBoimgiSwF1YWgjXXHIKEc/wJSeXSLF00c/4qVoHs1KoUc/60QEO87jKGVoGH1xyWgmR794k3S8an76c2gnaI1oKV1xyihHwAhnjZCjJ7JHQBDson2AXplHQBmW7ciXJ8JldX1xyyhoHV1xzH1xzShoIGiKaCJLAXVhaCNdcc4oRz+8BIT08dn4Rz+1Tss/LhM5Rz/pdAg/6nu0ZWgYfXHPaCZHv4BiTdLxqfxzaCdojWgpXXHQKEc/4IaUOAdB4kc/4zSpg1Mab0dAIIP6hwfPCmV1fXHRKGgdXXHSfXHTKGggaIpoIksBdWFoI11x1ChHP+lz/cjuGvtHP7wE3jYrthFHP7VPEAiLv7xlaBh9cdVoJke/gGJN0vGp/HNoJ2iNaCldcdYoR0AeEgzY2pDxRz/pTjD4uZ6UR8ALWhLqzTpdZXV9cdcoaB1dcdh9cdkoaCBoimgiSwF1YWgjXXHaKEc/yB9u2yoHu0c/yCyCVIOP7Uc/1+TMs0xzIGVoGH1x22gmR7+Ik3S8an76c2gnaI1oKV1x3ChHP+GH8sI/iwRHP/XrfUOIlzFHQAPlsH+awSJldX1x3ShoHV1x3n1x3yhoIGiKaCJLAXVhaCNdceAoRz/X5Tyld8k6Rz/IIW7QF1oPRz/ILNnoPkJbZWgYfXHhaCZHv4iTdLxqfvpzaCdojWgpXXHiKEdAA+2uolHzeEc/9eFFBvxkrEe/4TZiaf5PkGV1fXHjKGgdXXHkfXHlKGggaIpoIksBdWFoI11x5ihHP7UusEGmvnBHP+QlHdF3K4ZHP9aIRL1JTCRlaBh9cedoJke/eJN0vGp++nNoJ2iNaCldcegoR8APJ4jrMlP5R0ASTG63PKxNRz/j2Jglv7UUZXV9cekoaB1dcep9cesoaCBoimgiSwF1YWgjXXHsKEc/1Auw4zdHakc/2IxiLkhnzkc/6QMh0zl4cmVoGH1x7WgmR7+EeuFHrhR7c2gnaI1oKV1x7ihHP9iBrCA1/7FHQAZC+BAw6k1HQBaiEJe7uMtldX1x7yhoHV1x8H1x8ShoIGiKaCJLAXVhaCNdcfIoRz/WiC5s+tUeRz+1LEMp9kicRz/kJR5nyhO1ZWgYfXHzaCZHv3iTdLxqfvpzaCdojWgpXXH0KEdACIhBUAKRQkc/4xF11DhjT0dAFK0RPOJQX2V1fXH1KGgdXXH2fXH3KGggaIpoIksBdWFoI11x+ChHP+oF+lASvPFHP9IGcbQiW/VHP+xGYDahfL1laBh9cfloJke/hHrhR64Ue3NoJ2iNaCldcfooR0AZmXIdsiknR0AATlni7tURR0AToqrbGcQoZXV9cfsoaB1dcfx9cf0oaCBoimgiSwF1YWgjXXH+KEc/0gXu7N04gEc/7EYcr2Mvekc/6gWq1KpmxmVoGH1x/2gmR7+EeuFHrhR7c2gnaI1oKV1yAAEAAChHwA3X4MxzZepHQBmr8SU3sg1HQA4L47ufcVhldX1yAQEAAChoHV1yAgEAAH1yAwEAAChoIGiKaCJLAXVhaCNdcgQBAAAoRz/pA0tuvk6wRz/UDDwYtQKsRz/YjHF9cMQNZWgYfXIFAQAAaCZHv4R64UeuFHtzaCdojWgpXXIGAQAAKEdAF1LsTzgl4kdAAirnJacwEEe/68vrje9DWGV1fXIHAQAAKGgdXXIIAQAAfXIJAQAAKGggaIpoIksBdWFoI11yCgEAAChHP+Kl4v4Rk1BHP+tEFsBg2LNHP8CUozqtJRJlaBh9cgsBAABoJke/eJN0vGp++nNoJ2iNaCldcgwBAAAoR7/VJ0FPZFOwR0AYw4gsQ0NuR8AVy7FHJNgHZXV9cg0BAAAoaB1dcg4BAAB9cg8BAAAoaCBoimgiSwF1YWgjXXIQAQAAKEc/5gh0F9Td6Ec/6/LIVEIhjkc/5gt4qbTvtmVoGH1yEQEAAGgmR7+Ik3S8an76c2gnaI1oKV1yEgEAAChHP+O5yjhm79lHQBlei/j2OWxHP9mGZZ7VfUBldX1yEwEAAChoHV1yFAEAAH1yFQEAAChoIGiKaCJLAXVhaCNdchYBAAAoRz+1S112fbW4Rz/pc8g5PzvVRz+8AvdWOEXtZWgYfXIXAQAAaCZHv4BiTdLxqfxzaCdojWgpXXIYAQAAKEfAFJLbMOHVU0dAFyCSbDu8Z0fAB+ggrVFhAmV1ZXVYBgAAAHRhcmdldHIZAQAARwAAAAAAAAAAdS5QSwcItZPfyasTAACrEwAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAaAA0AbWItbXAtZ2FwLTA0ODkzOS9ieXRlb3JkZXJGQgkAWlpaWlpaWlpabGl0dGxlUEsHCIU94xkGAAAABgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGAA0AG1iLW1wLWdhcC0wNDg5MzkvdmVyc2lvbkZCMABaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlozClBLBwjRnmdVAgAAAAIAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAACcAKQBtYi1tcC1nYXAtMDQ4OTM5Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRGQiUAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjA2MzY0NTc3Mzc5NDY0MDEwNTEzMDAwMDAwMjUyMTExNzU0MzM4MDhQSwcIidcXKCgAAAAoAAAAUEsBAgAAAAAICAAAAAAAALWT38mrEwAAqxMAABkAAAAAAAAAAAAAAAAAAAAAAG1iLW1wLWdhcC0wNDg5MzkvZGF0YS5wa2xQSwECAAAAAAgIAAAAAAAAhT3jGQYAAAAGAAAAGgAAAAAAAAAAAAAAAAD7EwAAbWItbXAtZ2FwLTA0ODkzOS9ieXRlb3JkZXJQSwECAAAAAAgIAAAAAAAA0Z5nVQIAAAACAAAAGAAAAAAAAAAAAAAAAABWFAAAbWItbXAtZ2FwLTA0ODkzOS92ZXJzaW9uUEsBAgAAAAAICAAAAAAAAInXFygoAAAAKAAAACcAAAAAAAAAAAAAAAAA0hQAAG1iLW1wLWdhcC0wNDg5MzkvLmRhdGEvc2VyaWFsaXphdGlvbl9pZFBLBgYsAAAAAAAAAB4DLQAAAAAAAAAAAAQAAAAAAAAABAAAAAAAAAAqAQAAAAAAAHgVAAAAAAAAUEsGBwAAAACiFgAAAAAAAAEAAABQSwUGAAAAAAQABAAqAQAAeBUAAAAA" | ./matbench_mp_gap/mb-mp-gap-048939 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-062808 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-095407 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-077093 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-045703 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.