pt unknown | __key__ stringlengths 12 34 | __url__ stringclasses 2
values |
|---|---|---|
"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" | ./matbench_mp_gap/mb-mp-gap-087406 | /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-031723 | /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-061769 | /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-053279 | /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-104847 | /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 |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTAzMTUyOC9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHAAAAAAAAAABHAAAAAAAAAABHQCOIJ2V0o+xlXXENKEdAK6Un1gfe8kcAAAAAAAAAAEeAAAAAAAAAAGVdcQ4oR4AAAAAAAAAAR0ArpSfWB97yRwAAAAAAAAAAZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAI4gnZXSj7FgBAAAAYnESR0ArpSfWB97yWAEAAABjcRNHQCulJ9YH3vJYBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAVoAAAAAAAFgGAAAAdm9sdW1lcRdHQJ0npRiJs311WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABNbnEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP+AAAAAAAABHP+AAAAAAAABHAAAAAAAAAABlaBh9cSVYBgAAAG1hZ21vbXEmR0ARZmZmZmZmc1gFAAAAbGFiZWxxJ1gCAAAATW5xKFgDAAAAeHl6cSldcSooR0AbpSfWB97yRwAAAAAAAAAAR0ATiCdldKPsZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/4AAAAAAAAEeAAAAAAAAAAEc/4AAAAAAAAGVoGH1xL2gmR0ARZmZmZmZmc2gnWAIAAABNbnEwaCldcTEoRwAAAAAAAAAAR0AbpSfWB97yR0ATiCdldKPsZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEeAAAAAAAAAAEc/4AAAAAAAAEc/4AAAAAAAAGVoGH1xNmgmR0ARZmZmZmZmc2gnWAIAAABNbnE3aCldcTgoR0AbpSfWB97yR0AbpSfWB97yRwAAAAAAAAAAZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEeAAAAAAAAAAEeAAAAAAAAAAEcAAAAAAAAAAGVoGH1xPWgmR0ARZmZmZmZmc2gnWAIAAABNbnE+aCldcT8oRwAAAAAAAAAARwAAAAAAAAAARwAAAAAAAAAAZXV9cUAoaB1dcUF9cUIoaCBYAQAAAEhxQ2giSwF1YWgjXXFEKEc/53az8TO0Ykc/ybMVAEJFH0c/TO1LnWJRA2VoGH1xRWgmRwAAAAAAAAAAc2gnaENoKV1xRihHQAYzvRqmxwJHP4j9g11cpjpHQBykoG4Oln5ldX1xRyhoHV1xSH1xSShoIGhDaCJLAXVhaCNdcUooRz/ndrPxM7RiRz/TJnV/3t1xRz/f8YlaMU7XZWgYfXFLaCZHAAAAAAAAAABzaCdoQ2gpXXFMKEdAEItJSLR7cUdAG5ipFFkwnkdAHKSgbg6WfmV1fXFNKGgdXXFOfXFPKGggaENoIksBdWFoI11xUChHP83az8TO0YpHP+AHO1LnWJRHP+mTOr/vbrhlaBh9cVFoJkcAAAAAAAAAAHNoJ2hDaCldcVIoR0AbsaaXto1FR0AmGDiPXi0xR0ACOPIRM+UmZXV9cVMoaB1dcVR9cVUoaCBoQ2giSwF1YWgjXXFWKEc/zdrPxM7Rikc/7/jErRinbEc/5mzFQBCRSGVoGH1xV2gmRwAAAAAAAAAAc2gnaENoKV1xWChHQCue6HUwh8lHQCNfgzGtoTpHQAI48hEz5SZldX1xWShoHV1xWn1xWyhoIGhDaCJLAXVhaCNdcVwoRz/REpgdmJc7Rz/pkzq/7264Rz/v+MStGKdsZWgYfXFdaCZHAAAAAAAAAABzaCdoQ2gpXXFeKEdAJhg4j14tMUdAK57odTCHyUdABNdcubVismV1fXFfKGgdXXFgfXFhKGggaENoIksBdWFoI11xYihHP9ESmB2YlztHP+ZsxUAQkUhHP+AHO1LnWJRlaBh9cWNoJkcAAAAAAAAAAHNoJ2hDaCldcWQoR0AjX4MxraE6R0AbsaaXto1FR0AE11y5tWKyZXV9cWUoaB1dcWZ9cWcoaCBoQ2giSwF1YWgjXXFoKEc/6IlMDsxLnkc/3/GJWjFO10c/ybMVAEJFH2VoGH1xaWgmRwAAAAAAAAAAc2gnaENoKV1xaihHQBuYqRRZMJ5HQAYzvRqmxwJHQB3z1cJPVUZldX1xayhoHV1xbH1xbShoIGhDaCJLAXVhaCNdcW4oRz/oiUwOzEueRz9M7UudYlEDRz/TJnV/3t1xZWgYfXFvaCZHAAAAAAAAAABzaCdoQ2gpXXFwKEc/iP2DXVymOkdAEItJSLR7cUdAHfPVwk9VRmV1fXFxKGgdXXFyfXFzKGggaENoIksBdWFoI11xdChHP+brv5wMu3pHP9T4tP1NSDJHP1ALxoe5R19laBh9cXVoJkeAAAAAAAAAAHNoJ2hDaCldcXYoR0ASHhU2VEL+Rz+LuYBnuZ4IR0Ab+v/V99jDZXV9cXcoaB1dcXh9cXkoaCBoQ2giSwF1YWgjXXF6KEc/5uu/nAy7ekc/xg6WBWVvm0c/3+/0OXhGuWVoGH1xe2gmR4AAAAAAAAAAc2gnaENoKV1xfChHQAMOJT9nN+dHQBuXSxXUAiNHQBv6/9X32MNldX1xfShoHV1xfn1xfyhoIGhDaCJLAXVhaCNdcYAoRz/Lrv5wMu3pRz/gCAXjQ9ykRz/lg6WBWVvnZWgYfXGBaCZHgAAAAAAAAABzaCdoQ2gpXXGCKEdAG7MElju7wkdAIpYdOt29c0dAAOWw4QZpsGV1fXGDKGgdXXGEfXGFKGggaENoIksBdWFoI11xhihHP8uu/nAy7elHP+/3+hy8I1xHP+p8Wn6mpBllaBh9cYdoJkeAAAAAAAAAAHNoJ2hDaCldcYgoR0Arnjl17fCKR0Am4Z6GLhD4R0AA5bDhBmmwZXV9cYkoaB1dcYp9cYsoaCBoQ2giSwF1YWgjXXGMKEc/0iiAx+aJDEc/5YOlgVlb50c/7/f6HLwjXGVoGH1xjWgmR4AAAAAAAAAAc2gnaENoKV1xjihHQCKWHTrdvXNHQCueOXXt8IpHQAYqneni3illdX1xjyhoHV1xkH1xkShoIGhDaCJLAXVhaCNdcZIoRz/SKIDH5okMRz/qfFp+pqQZRz/gCAXjQ9ykZWgYfXGTaCZHgAAAAAAAAABzaCdoQ2gpXXGUKEdAJuGehi4Q+EdAG7MElju7wkdABiqd6eLeKWV1fXGVKGgdXXGWfXGXKGggaENoIksBdWFoI11xmChHP+kUQGPzRIZHP9/v9Dl4RrlHP9T4tP1NSDJlaBh9cZloJkeAAAAAAAAAAHNoJ2hDaCldcZooR0Abl0sV1AIjR0ASHhU2VEL+R0AenXZaZhMBZXV9cZsoaB1dcZx9cZ0oaCBoQ2giSwF1YWgjXXGeKEc/6RRAY/NEhkc/UAvGh7lHX0c/xg6WBWVvm2VoGH1xn2gmR4AAAAAAAAAAc2gnaENoKV1xoChHP4u5gGe5nghHQAMOJT9nN+dHQB6ddlpmEwFldX1xoShoHV1xon1xoyhoIGhDaCJLAXVhaCNdcaQoRz/ifnSfuhoYRz+687Ho8MTPRz/tYscfjruaZWgYfXGlaCZHP1BiTdLxqfxzaCdoQ2gpXXGmKEc/90i4NylqRkdAKWMB6kmisUdAFpOK5nwEp2V1fXGnKGgdXXGofXGpKGggaENoIksBdWFoI11xqihHP+J+dJ+6GhhHP9lDE4XDzsxHP+KdOOBxRGZlaBh9catoJkc/UGJN0vGp/HNoJ2hDaCldcawoR0AV0vnIPYRgR0AgFLnWwiu6R0AWk4rmfASnZXV9ca0oaB1dca59ca8oaCBoQ2giSwF1YWgjXXGwKEc/s/Ok/dDQvUc/2sWOPx13NEc/7KGJwuHnZmVoGH1xsWgmRz9QYk3S8an8c2gnaENoKV1xsihHQBcg2/6LZnFHQCi8EM8isalHP+hbHAg7BdNldX1xsyhoHV1xtH1xtShoIGhDaCJLAXVhaCNdcbYoRz+z86T90NC9Rz+06ccDiiMvRz/jXnY9HhiaZWgYfXG3aCZHP1BiTdLxqfxzaCdoQ2gpXXG4KEc/8hEvXfHiBUdAILuq8ekcwkc/6FscCDsF02V1fXG5KGgdXXG6fXG7KGggaENoIksBdWFoI11xvChHP9sDFsCLy9FHP+yhicLh52ZHP7TpxwOKIy9laBh9cb1oJkc/UGJN0vGp/HNoJ2hDaCldcb4oR0AovBDPIrGpRz/yES9d8eIFR0AQfMPkbUMyZXV9cb8oaB1dccB9ccEoaCBoQ2giSwF1YWgjXXHCKEc/2wMWwIvL0Uc/4152PR4Ymkc/2sWOPx13NGVoGH1xw2gmRz9QYk3S8an8c2gnaENoKV1xxChHQCC7qvHpHMJHQBcg2/6LZnFHQBB8w+RtQzJldX1xxShoHV1xxn1xxyhoIGhDaCJLAXVhaCNdccgoRz/tgYtgReXoRz/inTjgcURmRz+687Ho8MTPZWgYfXHJaCZHP1BiTdLxqfxzaCdoQ2gpXXHKKEdAIBS51sIrukc/90i4NylqRkdAIgJ1pPDzj2V1fXHLKGgdXXHMfXHNKGggaENoIksBdWFoI11xzihHP+2Bi2BF5ehHP+1ixx+Ou5pHP9lDE4XDzsxlaBh9cc9oJkc/UGJN0vGp/HNoJ2hDaCldcdAoR0ApYwHqSaKxR0AV0vnIPYRgR0AiAnWk8POPZXV9cdEoaB1dcdJ9cdMoaCBoQ2giSwF1YWgjXXHUKEc/3Hdq5dIBakc/xLuBtk4FR0c/61GkEe2TQWVoGH1x1WgmRwAAAAAAAAAAc2gnaENoKV1x1ihHQAHpNhXW+ddHQCeZ4WdVjIBHQBFgBgqQYZBldX1x1yhoHV1x2H1x2ShoIGhDaCJLAXVhaCNdcdooRz/cd2rl0gFqRz/Voj8k2P1dRz/krlvuEmy/ZWgYfXHbaCZHAAAAAAAAAABzaCdoQ2gpXXHcKEdAErCMyxxiB0dAId3aWbZB60dAEWAGCpBhkGV1fXHdKGgdXXHefXHfKGggaENoIksBdWFoI11x4ChHP+47tXLpALVHP9ajSCPbJoJHP+rRH5Jsfq5laBh9ceFoJkcAAAAAAAAAAHNoJ2hDaCldceIoR0ATjpr4ozoPR0AnKtpQkiB8R0AidBa4AoK+ZXV9ceMoaB1dceR9ceUoaCBoQ2giSwF1YWgjXXHmKEc/7ju1cukAtUc/wrlvuEmy/Ec/5S7gbZOBUmVoGH1x52gmRwAAAAAAAAAAc2gnaENoKV1x6ChHQAAtGbrJScZHQCJM4XB5re9HQCJ0FrgCgr5ldX1x6ShoHV1x6n1x6yhoIGhDaCJLAXVhaCNdcewoRz/hxEqNFv9LRz/q0R+SbH6uRz/CuW+4SbL8ZWgYfXHtaCZHAAAAAAAAAABzaCdoQ2gpXXHuKEdAJyraUJIgfEdAAC0ZuslJxkdAFbBIwFjmSGV1fXHvKGgdXXHwfXHxKGggaENoIksBdWFoI11x8ihHP+HESo0W/0tHP+Uu4G2TgVJHP9ajSCPbJoJlaBh9cfNoJkcAAAAAAAAAAHNoJ2hDaCldcfQoR0AiTOFwea3vR0ATjpr4ozoPR0AVsEjAWOZIZXV9cfUoaB1dcfZ9cfcoaCBoQ2giSwF1YWgjXXH4KEc/rESo0W/0sEc/5K5b7hJsv0c/xLuBtk4FR2VoGH1x+WgmRwAAAAAAAAAAc2gnaENoKV1x+ihHQCHd2lm2QetHQAHpNhXW+ddHP+FBCtciEuBldX1x+yhoHV1x/H1x/ShoIGhDaCJLAXVhaCNdcf4oRz+sRKjRb/SwRz/rUaQR7ZNBRz/Voj8k2P1dZWgYfXH/aCZHAAAAAAAAAABzaCdoQ2gpXXIAAQAAKEdAJ5nhZ1WMgEdAErCMyxxiB0c/4UEK1yIS4GV1fXIBAQAAKGgdXXICAQAAfXIDAQAAKGggaENoIksBdWFoI11yBAEAAChHP9aTEKjvouZHP9gQ6Dpmg0JHP9jQ6jMPIQVlaBh9cgUBAABoJkc/UGJN0vGp/HNoJ2hDaCldcgYBAAAoR0AUynkURaLmR0AVcFm3RLDnR0ALjr1r1gzMZXV9cgcBAAAoaB1dcggBAAB9cgkBAAAoaCBoQ2giSwF1YWgjXXIKAQAAKEc/1pMQqO+i5kc/v7xfFmXy+Uc/vLxXM8N762VoGH1yCwEAAGgmRz9QYk3S8an8c2gnaENoKV1yDAEAAChHP/tquwcI8DFHP/jTOHsMuC1HQAuOvWvWDMxldX1yDQEAAChoHV1yDgEAAH1yDwEAAChoIGhDaCJLAXVhaCNdchABAAAoRz/rSYhUd9FzRz/saHUZh5CDRz/j94vizL5fZWgYfXIRAQAAaCZHP1BiTdLxqfxzaCdoQ2gpXXISAQAAKEdAKIrAxqZH7UdAIT/rS+UNf0dAIKfDDa/VKWV1fXITAQAAKGgdXXIUAQAAfXIVAQAAKGggaENoIksBdWFoI11yFgEAAChHP+tJiFR30XNHP+OXiuZ4b31HP+wIdB0zQaFlaBh9chcBAABoJkc/UGJN0vGp/HNoJ2hDaCldchgBAAAoR0Ag7Pr6ZYZ+R0AoN9B1JsDsR0Agp8MNr9UpZXV9chkBAAAoaB1dchoBAAB9chsBAAAoaCBoQ2giSwF1YWgjXXIcAQAAKEc/5LZ3q4gujUc/4/eL4sy+X0c/45eK5nhvfWVoGH1yHQEAAGgmRz9QYk3S8an8c2gnaENoKV1yHgEAAChHQCE/60vlDX9HQCDs+vplhn5HQBlI8BT+QXJldX1yHwEAAChoHV1yIAEAAH1yIQEAAChoIGhDaCJLAXVhaCNdciIBAAAoRz/ktneriC6NRz/sCHQdM0GhRz/saHUZh5CDZWgYfXIjAQAAaCZHP1BiTdLxqfxzaCdoQ2gpXXIkAQAAKEdAKDfQdSbA7EdAKIrAxqZH7UdAGUjwFP5BcmV1fXIlAQAAKGgdXXImAQAAfXInAQAAKGggaENoIksBdWFoI11yKAEAAChHP8LZ3q4gujVHP7y8VzPDe+tHP9gQ6Dpmg0JlaBh9cikBAABoJkc/UGJN0vGp/HNoJ2hDaCldcioBAAAoRz/40zh7DLgtR0AUynkURaLmRz/3AyK+JnYZZXV9cisBAAAoaB1dciwBAAB9ci0BAAAoaCBoQ2giSwF1YWgjXXIuAQAAKEc/wtneriC6NUc/2NDqMw8hBUc/v7xfFmXy+WVoGH1yLwEAAGgmRz9QYk3S8an8c2gnaENoKV1yMAEAAChHQBVwWbdEsOdHP/tquwcI8DFHP/cDIr4mdhlldX1yMQEAAChoHV1yMgEAAH1yMwEAAChoIGhDaCJLAXVhaCNdcjQBAAAoRz/eHMjYzF9qRz/THZhhizVTRz/VJ3vaa/HBZWgYfXI1AQAAaCZHAAAAAAAAAABzaCdoQ2gpXXI2AQAAKEdAEIOg9/DAXkdAEkZ+bIWDD0dAEmE2qOAh+2V1fXI3AQAAKGgdXXI4AQAAfXI5AQAAKGggaENoIksBdWFoI11yOgEAAChHP94cyNjMX2pHP8nEzzzplVpHP8WxCEsoHH9laBh9cjsBAABoJkcAAAAAAAAAAHNoJ2hDaCldcjwBAAAoR0AGQw28Lj0oR0ACvVLTBLfIR0ASYTao4CH7ZXV9cj0BAAAoaB1dcj4BAAB9cj8BAAAoaCBoQ2giSwF1YWgjXXJAAQAAKEc/7w5kbGYvtUc/6pO97TX44Ec/5nEzzzplV2VoGH1yQQEAAGgmRwAAAAAAAAAAc2gnaENoKV1yQgEAAChHQCb10yFGsQBHQCNjV1oPfsNHQCL0rwcqYvNldX1yQwEAAChoHV1yRAEAAH1yRQEAAChoIGhDaCJLAXVhaCNdckYBAAAoRz/vDmRsZi+1Rz/lbEISygcgRz/pjswwxZqpZWgYfXJHAQAAaCZHAAAAAAAAAABzaCdoQ2gpXXJIAQAAKEdAIoHon8Uda0dAJhRkZvxPqEdAIvSvBypi82V1fXJJAQAAKGgdXXJKAQAAfXJLAQAAKGggaENoIksBdWFoI11yTAEAAChHP+Dxm5OZ0EtHP+ZxM886ZVdHP+VsQhLKByBlaBh9ck0BAABoJkcAAAAAAAAAAHNoJ2hDaCldck4BAAAoR0AjY1daD37DR0AigeifxR1rR0AUrxgiCSXdZXV9ck8BAAAoaB1dclABAAB9clEBAAAoaCBoQ2giSwF1YWgjXXJSAQAAKEc/4PGbk5nQS0c/6Y7MMMWaqUc/6pO97TX44GVoGH1yUwEAAGgmRwAAAAAAAAAAc2gnaENoKV1yVAEAAChHQCYUZGb8T6hHQCb10yFGsQBHQBSvGCIJJd1ldX1yVQEAAChoHV1yVgEAAH1yVwEAAChoIGhDaCJLAXVhaCNdclgBAAAoRz+eM3JzOglmRz/FsQhLKBx/Rz/THZhhizVTZWgYfXJZAQAAaCZHAAAAAAAAAABzaCdoQ2gpXXJaAQAAKEdAAr1S0wS3yEdAEIOg9/DAXkc/0m8LyUgfG2V1fXJbAQAAKGgdXXJcAQAAfXJdAQAAKGggaENoIksBdWFoI11yXgEAAChHP54zcnM6CWZHP9Une9pr8cFHP8nEzzzplVplaBh9cl8BAABoJkcAAAAAAAAAAHNoJ2hDaCldcmABAAAoR0ASRn5shYMPR0AGQw28Lj0oRz/SbwvJSB8bZXV9cmEBAAAoaB1dcmIBAAB9cmMBAAAoaCBoQ2giSwF1YWgjXXJkAQAAKEc/0JUZd3VXcEc/4ClyNHrb6Uc/03UHM1AOi2VoGH1yZQEAAGgmRwAAAAAAAAAAc2gnaENoKV1yZgEAAChHQBvsxF+FMNRHQBDPKbkwUOpHQAQ+Kmrm5AhldX1yZwEAAChoHV1yaAEAAH1yaQEAAChoIGhDaCJLAXVhaCNdcmoBAAAoRz/QlRl3dVdwRz/v1o3LhSQXRz/JFfGZX+LqZWgYfXJrAQAAaCZHAAAAAAAAAABzaCdoQ2gpXXJsAQAAKEdAK4FZkUk2AUdABav8Oa8cEUdABD4qaubkCGV1fXJtAQAAKGgdXXJuAQAAfXJvAQAAKGggaENoIksBdWFoI11ycAEAAChHP+hKjLu6q7hHP+m6g5moB0ZHP9+tG5cKSC1laBh9cnEBAABoJkcAAAAAAAAAAHNoJ2hDaCldcnIBAAAoR0AmOijHnBfuR0AbXYtMio0PR0Adpzya6BXwZXV9cnMBAAAoaB1dcnQBAAB9cnUBAAAoaCBoQ2giSwF1YWgjXXJ2AQAAKEc/6EqMu7qruEc/5kV8Zlf4ukc/dLkaPW30pWVoGH1ydwEAAGgmRwAAAAAAAAAAc2gnaENoKV1yeAEAAChHQCM9kvlvtn1HP7HnIl9UeJhHQB2nPJroFfBldX1yeQEAAChoHV1yegEAAH1yewEAAChoIGhDaCJLAXVhaCNdcnwBAAAoRz/ntXNERVRIRz/frRuXCkgtRz/mRXxmV/i6ZWgYfXJ9AQAAaCZHAAAAAAAAAABzaCdoQ2gpXXJ+AQAAKEdAG12LTIqND0dAIz2S+W+2fUdAHPE5lXXV1GV1fXJ/AQAAKGgdXXKAAQAAfXKBAQAAKGggaENoIksBdWFoI11yggEAAChHP+e1c0RFVEhHP3S5Gj1t9KVHP+m6g5moB0ZlaBh9coMBAABoJkcAAAAAAAAAAHNoJ2hDaCldcoQBAAAoRz+x5yJfVHiYR0AmOijHnBfuR0Ac8TmVddXUZXV9coUBAAAoaB1dcoYBAAB9cocBAAAoaCBoQ2giSwF1YWgjXXKIAQAAKEc/ztXNERVRIEc/yRXxmV/i6kc/4ClyNHrb6WVoGH1yiQEAAGgmRwAAAAAAAAAAc2gnaENoKV1yigEAAChHQAWr/DmvHBFHQBvsxF+FMNRHQALSJGACY9BldX1yiwEAAChoHV1yjAEAAH1yjQEAAChoIGhDaCJLAXVhaCNdco4BAAAoRz/O1c0RFVEgRz/TdQczUA6LRz/v1o3LhSQXZWgYfXKPAQAAaCZHAAAAAAAAAABzaCdoQ2gpXXKQAQAAKEdAEM8puTBQ6kdAK4FZkUk2AUdAAtIkYAJj0GV1fXKRAQAAKGgdXXKSAQAAfXKTAQAAKGggaENoIksBdWFoI11ylAEAAChHP9TehRDLf0VHP+Enh+7MUPxHP8heKpgvC1tlaBh9cpUBAABoJkeAAAAAAAAAAHNoJ2hDaCldcpYBAAAoR0Ado8fCm+QsR0AFDTfRyAjZR0AJedTRuYzZZXV9cpcBAAAoaB1dcpgBAAB9cpkBAAAoaCBoQ2giSwF1YWgjXXKaAQAAKEc/1N6FEMt/RUc/7th4ETOvBEc/09Dqs+h6UmVoGH1ymwEAAGgmR4AAAAAAAAAAc2gnaENoKV1ynAEAAChHQCql19+93FVHQBEei+0j2oVHQAl51NG5jNlldX1ynQEAAChoHV1yngEAAH1ynwEAAChoIGhDaCJLAXVhaCNdcqABAAAoRz/qb0KIZb+iRz/mF4qmC8LXRz/dsPAiZ14IZWgYfXKhAQAAaCZHgAAAAAAAAABzaCdoQ2gpXXKiAQAAKEdAIxXh33XxsEdAGaaH6XPZuEdAICKI5yi1LGV1fXKjAQAAKGgdXXKkAQAAfXKlAQAAKGggaENoIksBdWFoI11ypgEAAChHP+pvQohlv6JHP+nodVn0PSlHP6J4fuzFD79laBh9cqcBAABoJkeAAAAAAAAAAHNoJ2hDaCldcqgBAAAoR0AmYdnhldy7Rz/f6f7JQFObR0AgIojnKLUsZXV9cqkBAAAoaB1dcqoBAAB9cqsBAAAoaCBoQ2giSwF1YWgjXXKsAQAAKEc/5ZC9d5pAXkc/3bDwImdeCEc/6eh1WfQ9KWVoGH1yrQEAAGgmR4AAAAAAAAAAc2gnaENoKV1yrgEAAChHQBmmh+lz2bhHQCZh2eGV3LtHQBpTZGIMgWxldX1yrwEAAChoHV1ysAEAAH1ysQEAAChoIGhDaCJLAXVhaCNdcrIBAAAoRz/lkL13mkBeRz+ieH7sxQ+/Rz/mF4qmC8LXZWgYfXKzAQAAaCZHgAAAAAAAAABzaCdoQ2gpXXK0AQAAKEc/3+n+yUBTm0dAIxXh33XxsEdAGlNkYgyBbGV1fXK1AQAAKGgdXXK2AQAAfXK3AQAAKGggaENoIksBdWFoI11yuAEAAChHP8ZC9d5pAXZHP9PQ6rPoelJHP+Enh+7MUPxlaBh9crkBAABoJkeAAAAAAAAAAHNoJ2hDaCldcroBAAAoR0ARHovtI9qFR0Ado8fCm+QsRz/7LPPyX3X+ZXV9crsBAAAoaB1dcrwBAAB9cr0BAAAoaCBoQ2giSwF1YWgjXXK+AQAAKEc/xkL13mkBdkc/yF4qmC8LW0c/7th4ETOvBGVoGH1yvwEAAGgmR4AAAAAAAAAAc2gnaENoKV1ywAEAAChHQAUNN9HICNlHQCql19+93FVHP/ss8/Jfdf5ldX1ywQEAAChoHV1ywgEAAH1ywwEAAChoIFgBAAAAQ3LEAQAAaCJLAXVhaCNdcsUBAAAoRz/aNnOveiuVRz/aiu0jr1ykRz/P7nCLg1ZhZWgYfXLGAQAAaCZHP2BiTdLxqfxzaCdYAQAAAENyxwEAAGgpXXLIAQAAKEdAFu41d7STDUdAC5X8KjHDZUdAD/+4wqVvhWV1fXLJAQAAKGgdXXLKAQAAfXLLAQAAKGggasQBAABoIksBdWFoI11yzAEAAChHP9o2c696K5VHP7XUS3FCjW5HP9AIx7o+VM9laBh9cs0BAABoJkc/YGJN0vGp/HNoJ2rHAQAAaCldcs4BAAAoRz/y28l5TS+TR0ALtFOB3fp/R0AP/7jCpW+FZXV9cs8BAAAoaB1dctABAAB9ctEBAAAoaCBqxAEAAGgiSwF1YWgjXXLSAQAAKEc/7Rs5170Vy0c/5/ucIuDVmEc/4rqJbihRrmVoGH1y0wEAAGgmRz9gYk3S8an8c2gnascBAABoKV1y1AEAAChHQCS4EvWQYFJHQCAuDRotlWxHQCHEAeNjrdhldX1y1QEAAChoHV1y1gEAAH1y1wEAAChoIGrEAQAAaCJLAXVhaCNdctgBAAAoRz/tGznXvRXLRz/oBGPdHypoRz/tRXaR165SZWgYfXLZAQAAaCZHP2BiTdLxqfxzaCdqxwEAAGgpXXLaAQAAKEdAJL+oy3tuGUdAKUmupt44/0dAIcQB42Ot2GV1fXLbAQAAKGgdXXLcAQAAfXLdAQAAKGggasQBAABoIksBdWFoI11y3gEAAChHP+LkxihC6jVHP+K6iW4oUa5HP+gEY90fKmhlaBh9ct8BAABoJkc/YGJN0vGp/HNoJ2rHAQAAaCldcuABAAAoR0AgLg0aLZVsR0Akv6jLe24ZR0AXEHJplpAVZXV9cuEBAAAoaB1dcuIBAAB9cuMBAAAoaCBqxAEAAGgiSwF1YWgjXXLkAQAAKEc/4uTGKELqNUc/7UV2kdeuUkc/5/ucIuDVmGVoGH1y5QEAAGgmRz9gYk3S8an8c2gnascBAABoKV1y5gEAAChHQClJrqbeOP9HQCS4EvWQYFJHQBcQcmmWkBVldX1y5wEAAChoHV1y6AEAAH1y6QEAAChoIGrEAQAAaCJLAXVhaCNdcuoBAAAoRz+3JjFCF1GrRz/QCMe6PlTPRz/aiu0jr1ykZWgYfXLrAQAAaCZHP2BiTdLxqfxzaCdqxwEAAGgpXXLsAQAAKEdAC7RTgd36f0dAFu41d7STDUc/7EJYIQ9hS2V1fXLtAQAAKGgdXXLuAQAAfXLvAQAAKGggasQBAABoIksBdWFoI11y8AEAAChHP7cmMUIXUatHP8/ucIuDVmFHP7XUS3FCjW5laBh9cvEBAABoJkc/YGJN0vGp/HNoJ2rHAQAAaCldcvIBAAAoR0ALlfwqMcNlRz/y28l5TS+TRz/sQlghD2FLZXV9cvMBAAAoaB1dcvQBAAB9cvUBAAAoaCBqxAEAAGgiSwF1YWgjXXL2AQAAKEc/4jEtbyP6MEc/0Eu06gIR00c/7Z5No0v09mVoGH1y9wEAAGgmRz9wYk3S8an8c2gnascBAABoKV1y+AEAAChHQAwn9pcWRbtHQCmWbqEipYpHQBY1NMFlN4hldX1y+QEAAChoHV1y+gEAAH1y+wEAAChoIGrEAQAAaCJLAXVhaCNdcvwBAAAoRz/iMS1vI/owRz/PaJYr+9xaRz/iYbJctAsKZWgYfXL9AQAAaCZHP3BiTdLxqfxzaCdqxwEAAGgpXXL+AQAAKEdACyJZFPl4KUdAH8KaP9JRwUdAFjU0wWU3iGV1fXL/AQAAKGgdXXIAAgAAfXIBAgAAKGggasQBAABoIksBdWFoI11yAgIAAChHP7GJa3kf0YJHP9s8m0aX6exHP+faJYr+9xZlaBh9cgMCAABoJkc/cGJN0vGp/HNoJ2rHAQAAaCldcgQCAAAoR0AXh7VsPWwjR0AkmyowQk2DRz/laGrfhJzfZXV9cgUCAAAoaB1dcgYCAAB9cgcCAAAoaCBqxAEAAGgiSwF1YWgjXXIIAgAAKEc/sYlreR/Rgkc/sw2S5aBYUEc/6CXadQEI6mVoGH1yCQIAAGgmRz9wYk3S8an8c2gnascBAABoKV1yCgIAAChHP/B1yacpyzxHQCTckZDJgOhHP+Voat+EnN9ldX1yCwIAAChoHV1yDAIAAH1yDQIAAChoIGrEAQAAaCJLAXVhaCNdcg4CAAAoRz/bnaUhuAugRz/n2iWK/vcWRz+zDZLloFhQZWgYfXIPAgAAaCZHP3BiTdLxqfxzaCdqxwEAAGgpXXIQAgAAKEdAJJsqMEJNg0c/8HXJpynLPEdAENsaCYQQUGV1fXIRAgAAKGgdXXISAgAAfXITAgAAKGggasQBAABoIksBdWFoI11yFAIAAChHP9udpSG4C6BHP+gl2nUBCOpHP9s8m0aX6exlaBh9chUCAABoJkc/cGJN0vGp/HNoJ2rHAQAAaCldchYCAAAoR0Ak3JGQyYDoR0AXh7VsPWwjR0AQ2xoJhBBQZXV9chcCAAAoaB1dchgCAAB9chkCAAAoaCBqxAEAAGgiSwF1YWgjXXIaAgAAKEc/7c7SkNwF0Ec/4mGyXLQLCkc/0Eu06gIR02VoGH1yGwIAAGgmRz9wYk3S8an8c2gnascBAABoKV1yHAIAAChHQB/Cmj/SUcFHQAwn9pcWRbtHQCIxoLd8Wh5ldX1yHQIAAChoHV1yHgIAAH1yHwIAAChoIGrEAQAAaCJLAXVhaCNdciACAAAoRz/tztKQ3AXQRz/tnk2jS/T2Rz/PaJYr+9xaZWgYfXIhAgAAaCZHP3BiTdLxqfxzaCdqxwEAAGgpXXIiAgAAKEdAKZZuoSKlikdACyJZFPl4KUdAIjGgt3xaHmV1fXIjAgAAKGgdXXIkAgAAfXIlAgAAKGggWAEAAABTciYCAABoIksBdWFoI11yJwIAAChHP+CI59sbGTZHP9jBFOhvapxHP8PebQhBFyJlaBh9cigCAABoJkc/m6XjU/fO2XNoJ1gBAAAAU3IpAgAAaCldcioCAAAoR0AVYqwIz04/R0ABKjedIrlwR0AUL0e9hHvnZXV9cisCAAAoaB1dciwCAAB9ci0CAAAoaCBqJgIAAGgiSwF1YWgjXXIuAgAAKEc/4Ijn2xsZNkc/vPusXkJVkEc/1hDJe990b2VoGH1yLwIAAGgmRz+bpeNT987Zc2gnaikCAABoKV1yMAIAAChHP/kJ7zTiQs1HQBMQDAd2gjpHQBQvR72Ee+dldX1yMQIAAChoHV1yMgIAAH1yMwIAAChoIGomAgAAaCJLAXVhaCNdcjQCAAAoRz+RHPtjYybBRz/k95tCEEXIRz/jn3WLyEqyZWgYfXI1AgAAaCZHP5ul41P3ztlzaCdqKQIAAGgpXXI2AgAAKEdAIh0h0kyd1EdAIPPR0aA300c/xOQLAfr/ZmV1fXI3AgAAKGgdXXI4AgAAfXI5AgAAKGggaiYCAABoIksBdWFoI11yOgIAAChHP5Ec+2NjJsFHP+sIZL3vujhHP+xginQ3tU5laBh9cjsCAABoJkc/m6XjU/fO2XNoJ2opAgAAaCldcjwCAAAoR0AnWpnuvzCXR0Aog+nva5aYRz/E5AsB+v9mZXV9cj0CAAAoaB1dcj4CAAB9cj8CAAAoaCBqJgIAAGgiSwF1YWgjXXJAAgAAKEc/3u4wScnNlEc/4591i8hKskc/6whkve+6OGVoGH1yQQIAAGgmRz+bpeNT987Zc2gnaikCAABoKV1yQgIAAChHQCDz0dGgN9NHQCdame6/MJdHQBLhBw1ky/FldX1yQwIAAChoHV1yRAIAAH1yRQIAAChoIGomAgAAaCJLAXVhaCNdckYCAAAoRz/e7jBJyc2URz/sYIp0N7VORz/k95tCEEXIZWgYfXJHAgAAaCZHP5ul41P3ztlzaCdqKQIAAGgpXXJIAgAAKEdAKIPp72uWmEdAIh0h0kyd1EdAEuEHDWTL8WV1fXJJAgAAKGgdXXJKAgAAfXJLAgAAKGggaiYCAABoIksBdWFoI11yTAIAAChHP+93GCTk5spHP9YQyXvfdG9HP9jBFOhvapxlaBh9ck0CAABoJkc/m6XjU/fO2XNoJ2opAgAAaCldck4CAAAoR0ATEAwHdoI6R0AVYqwIz04/R0AjNJc5bLfuZXV9ck8CAAAoaB1dclACAAB9clECAAAoaCBqJgIAAGgiSwF1YWgjXXJSAgAAKEc/73cYJOTmykc/w95tCEEXIkc/vPusXkJVkGVoGH1yUwIAAGgmRz+bpeNT987Zc2gnaikCAABoKV1yVAIAAChHQAEqN50iuXBHP/kJ7zTiQs1HQCM0lzlst+5ldX1yVQIAAChoHV1yVgIAAH1yVwIAAChoIGomAgAAaCJLAXVhaCNdclgCAAAoRz/eYTkgMiSVRz/WmA1HvCxBRz/sbmw0MLQoZWgYfXJZAgAAaCZHP5eNT987ZFpzaCdqKQIAAGgpXXJaAgAAKEdAE4TnWW8+hUdAKI/oDrOEmEdAEor8hLXSbWV1fXJbAgAAKGgdXXJcAgAAfXJdAgAAKGggaiYCAABoIksBdWFoI11yXgIAAChHP95hOSAyJJVHP8LP5XCHp39HP+ORk8vPS9hlaBh9cl8CAABoJkc/l41P3ztkWnNoJ2opAgAAaCldcmACAAAoR0AAQID5MUDbR0Ag59OyWEnTR0ASivyEtdJtZXV9cmECAAAoaB1dcmICAAB9cmMCAAAoaCBqJgIAAGgiSwF1YWgjXXJkAgAAKEc/7zCckBkSS0c/2NzYaGFoUEc/5LP5XCHp4GVoGH1yZQIAAGgmRz+XjU/fO2Rac2gnaikCAABoKV1yZgIAAChHQBV6qEdfKj5HQCHitClQP7BHQCMJkfUVOy1ldX1yZwIAAChoHV1yaAIAAH1yaQIAAChoIGomAgAAaCJLAXVhaCNdcmoCAAAoRz/vMJyQGRJLRz+8jJ5eel7BRz/rTAaj3hYgZWgYfXJrAgAAaCZHP5eNT987ZFpzaCdqKQIAAGgpXXJsAgAAKEc/+Kn+OqLS0kdAJ5UHl7uOu0dAIwmR9RU7LWV1fXJtAgAAKGgdXXJuAgAAfXJvAgAAKGggaiYCAABoIksBdWFoI11ycAIAAChHP+DPY2/m7bVHP+Sz+Vwh6eBHP7yMnl56XsFlaBh9cnECAABoJkc/l41P3ztkWnNoJ2opAgAAaCldcnICAAAoR0Ah4rQpUD+wRz/4qf46otLSR0AUhVJGM3VqZXV9cnMCAAAoaB1dcnQCAAB9cnUCAAAoaCBqJgIAAGgiSwF1YWgjXXJ2AgAAKEc/4M9jb+bttUc/60wGo94WIEc/2NzYaGFoUGVoGH1ydwIAAGgmRz+XjU/fO2Rac2gnaikCAABoKV1yeAIAAChHQCeVB5e7jrtHQBV6qEdfKj5HQBSFUkYzdWpldX1yeQIAAChoHV1yegIAAH1yewIAAChoIGomAgAAaCJLAXVhaCNdcnwCAAAoRz+Z7G383baqRz/jkZPLz0vYRz/WmA1HvCxBZWgYfXJ9AgAAaCZHP5eNT987ZFpzaCdqKQIAAGgpXXJ+AgAAKEdAIOfTslhJ00dAE4TnWW8+hUc/z6VcF9ov2GV1fXJ/AgAAKGgdXXKAAgAAfXKBAgAAKGggaiYCAABoIksBdWFoI11yggIAAChHP5nsbfzdtqpHP+xubDQwtChHP8LP5XCHp39laBh9coMCAABoJkc/l41P3ztkWnNoJ2opAgAAaCldcoQCAAAoR0Aoj+gOs4SYR0AAQID5MUDbRz/PpVwX2i/YZXV9coUCAAAoaB1dcoYCAAB9cocCAAAoaCBYAQAAAE5yiAIAAGgiSwF1YWgjXXKJAgAAKEc/5c8YNleq4kc/0LlGXTGJZUc/71i4rjHXE2VoGH1yigIAAGgmRz9ok3S8an76c2gnaogCAABoKV1yiwIAAChHQAzlRwY2cRFHQCsUpFEGW5xHQBqfgsFrTkVldX1yjAIAAChoHV1yjQIAAH1yjgIAAChoIGqIAgAAaCJLAXVhaCNdco8CAAAoRz/lzxg2V6riRz/OjXNFnO02Rz/gp0dRzijtZWgYfXKQAgAAaCZHP2iTdLxqfvpzaCdqiAIAAGgpXXKRAgAAKEdACmUIpdlM00dAHMYu4Arln0dAGp+CwWtORWV1fXKSAgAAKGgdXXKTAgAAfXKUAgAAKGggaogCAABoIksBdWFoI11ylQIAAChHP8c8YNleq4dHP96xcVxjriVHP+ejXNFnO05laBh9cpYCAABoJkc/aJN0vGp++nNoJ2qIAgAAaCldcpcCAAAoR0AahCDMBNhER0Aka9YUekKuRz/8XW1v2qlhZXV9cpgCAAAoaB1dcpkCAAB9cpoCAAAoaCBqiAIAAGgiSwF1YWgjXXKbAgAAKEc/xzxg2V6rh0c/lOjqOcUdrEc/6FyjLpjEsmVoGH1ynAIAAGgmRz9ok3S8an76c2gnaogCAABoKV1ynQIAAChHP9IQcKAwatZHQCUL5ayRi71HP/xdbW/aqWFldX1yngIAAChoHV1ynwIAAH1yoAIAAChoIGqIAgAAaCJLAXVhaCNdcqECAAAoRz/UYc+TUKo8Rz/no1zRZztORz+U6Oo5xR2sZWgYfXKiAgAAaCZHP2iTdLxqfvpzaCdqiAIAAGgpXXKjAgAAKEdAJGvWFHpCrkc/0hBwoDBq1kdACOGYEvvzJ2V1fXKkAgAAKGgdXXKlAgAAfXKmAgAAKGggaogCAABoIksBdWFoI11ypwIAAChHP9Rhz5NQqjxHP+hcoy6YxLJHP96xcVxjriVlaBh9cqgCAABoJkc/aJN0vGp++nNoJ2qIAgAAaCldcqkCAAAoR0AlC+WskYu9R0AahCDMBNhER0AI4ZgS+/MnZXV9cqoCAAAoaB1dcqsCAAB9cqwCAAAoaCBqiAIAAGgiSwF1YWgjXXKtAgAAKEc/6jDnyahVHkc/4KdHUc4o7Uc/0LlGXTGJZWVoGH1yrgIAAGgmRz9ok3S8an76c2gnaogCAABoKV1yrwIAAChHQBzGLuAK5Z9HQAzlRwY2cRFHQB/4827ynX9ldX1ysAIAAChoHV1ysQIAAH1ysgIAAChoIGqIAgAAaCJLAXVhaCNdcrMCAAAoRz/qMOfJqFUeRz/vWLiuMdcTRz/OjXNFnO02ZWgYfXK0AgAAaCZHP2iTdLxqfvpzaCdqiAIAAGgpXXK1AgAAKEdAKxSkUQZbnEdACmUIpdlM00dAH/jzbvKdf2V1fXK2AgAAKGgdXXK3AgAAfXK4AgAAKGggaogCAABoIksBdWFoI11yuQIAAChHP+DS19kaYwNHP8VOm+9fSOZHP+zFnKdrE3RlaBh9croCAABoJkc/dHrhR64Ue3NoJ2qIAgAAaCldcrsCAAAoR0ACaEtsU6UDR0Ao2zruSR/fR0AUiYnpIG6RZXV9crwCAAAoaB1dcr0CAAB9cr4CAAAoaCBqiAIAAGgiSwF1YWgjXXK/AgAAKEc/4NLX2RpjA0c/1ViyCFBbjUc/4zpjWJTsjGVoGH1ywAIAAGgmRz90euFHrhR7c2gnaogCAABoKV1ywQIAAChHQBJxAh/eDHBHQCCcgNLCroxHQBSJiekgbpFldX1ywgIAAChoHV1ywwIAAH1yxAIAAChoIGqIAgAAaCJLAXVhaCNdcsUCAAAoRz+aWvsjTGBWRz/ZizlO1ibpRz/qrFkEKC3HZWgYfXLGAgAAaCZHP3R64UeuFHtzaCdqiAIAAGgpXXLHAgAAKEdAFhFOBopgzUdAJwsU+vL1skc/0BYoOryqSWV1fXLIAgAAKGgdXXLJAgAAfXLKAgAAKGggaogCAABoIksBdWFoI11yywIAAChHP5pa+yNMYFZHP7nTGsSnZF1HP+VTpvvX0jllaBh9cswCAABoJkc/dHrhR64Ue3NoJ2qIAgAAaCldcs0CAAAoRz/2T2c99fiVR0AibKbGGNi5Rz/QFig6vKpJZXV9cs4CAAAoaB1dcs8CAAB9ctACAAAoaCBqiAIAAGgiSwF1YWgjXXLRAgAAKEc/3lpQTcs5+0c/6qxZBCgtx0c/udMaxKdkXWVoGH1y0gIAAGgmRz90euFHrhR7c2gnaogCAABoKV1y0wIAAChHQCcLFPry9bJHP/ZPZz31+JVHQBKGxOHI2UhldX1y1AIAAChoHV1y1QIAAH1y1gIAAChoIGqIAgAAaCJLAXVhaCNdctcCAAAoRz/eWlBNyzn7Rz/lU6b719I5Rz/ZizlO1ibpZWgYfXLYAgAAaCZHP3R64UeuFHtzaCdqiAIAAGgpXXLZAgAAKEdAImymxhjYuUdAFhFOBopgzUdAEobE4cjZSGV1fXLaAgAAKGgdXXLbAgAAfXLcAgAAKGggaogCAABoIksBdWFoI11y3QIAAChHP+8tKCblnP1HP+M6Y1iU7IxHP8VOm+9fSOZlaBh9ct4CAABoJkc/dHrhR64Ue3NoJ2qIAgAAaCldct8CAAAoR0AgnIDSwq6MR0ACaEtsU6UDR0AjB3Yjnr6aZXV9cuACAAAoaB1dcuECAAB9cuICAAAoaCBqiAIAAGgiSwF1YWgjXXLjAgAAKEc/7y0oJuWc/Uc/7MWcp2sTdEc/1ViyCFBbjWVoGH1y5AIAAGgmRz90euFHrhR7c2gnaogCAABoKV1y5QIAAChHQCjbOu5JH99HQBJxAh/eDHBHQCMHdiOevppldX1y5gIAAChoHV1y5wIAAH1y6AIAAChoIGqIAgAAaCJLAXVhaCNdcukCAAAoRz/aY2rz6ccuRz/XCjT3rnfNRz/VFRIAMqrNZWgYfXLqAgAAaCZHP3BiTdLxqfxzaCdqiAIAAGgpXXLrAgAAKEdAE+eGAKLLhEdAEjaWE6vNekdAEBtOhDPCOWV1fXLsAgAAKGgdXXLtAgAAfXLuAgAAKGggaogCAABoIksBdWFoI11y7wIAAChHP9pjavPpxy5HP8HrlhCjEGZHP8XV2/+aqmZlaBh9cvACAABoJkc/cGJN0vGp/HNoJ2qIAgAAaCldcvECAAAoRz/+9odVlE23R0AC3SOEuCLvR0AQG06EM8I5ZXV9cvICAAAoaB1dcvMCAAB9cvQCAAAoaCBqiAIAAGgiSwF1YWgjXXL1AgAAKEc/7TG1efTjl0c/6oqJABlVZ0c/5HrlhCjEGWVoGH1y9gIAAGgmRz9wYk3S8an8c2gnaogCAABoKV1y9wIAAChHQCbt3vTZ1jdHQCGxZNW2eS9HQCHRuvTUMxNldX1y+AIAAChoHV1y+QIAAH1y+gIAAChoIGqIAgAAaCJLAXVhaCNdcvsCAAAoRz/tMbV59OOXRz/ldXb/5qqZRz/rhRp71zvnZWgYfXL8AgAAaCZHP3BiTdLxqfxzaCdqiAIAAGgpXXL9AgAAKEdAIonczDH4NEdAJ8ZW61VVPEdAIdG69NQzE2V1fXL+AgAAKGgdXXL/AgAAfXIAAwAAKGggaogCAABoIksBdWFoI11yAQMAAChHP+LOSoYLHGlHP+R65YQoxBlHP+V1dv/mqpllaBh9cgIDAABoJkc/cGJN0vGp/HNoJ2qIAgAAaCldcgMDAAAoR0AhsWTVtnkvR0AiidzMMfg0R0AW9QBGtYWfZXV9cgQDAAAoaB1dcgUDAAB9cgYDAAAoaCBqiAIAAGgiSwF1YWgjXXIHAwAAKEc/4s5KhgscaUc/64Uae9c750c/6oqJABlVZ2VoGH1yCAMAAGgmRz9wYk3S8an8c2gnaogCAABoKV1yCQMAAChHQCfGVutVVTxHQCbt3vTZ1jdHQBb1AEa1hZ9ldX1yCgMAAChoHV1yCwMAAH1yDAMAAChoIGqIAgAAaCJLAXVhaCNdcg0DAAAoRz+2clQwWONGRz/F1dv/mqpmRz/XCjT3rnfNZWgYfXIOAwAAaCZHP3BiTdLxqfxzaCdqiAIAAGgpXXIPAwAAKEdAAt0jhLgi70dAE+eGAKLLhEc/62bHCgcNk2V1fXIQAwAAKGgdXXIRAwAAfXISAwAAKGggaogCAABoIksBdWFoI11yEwMAAChHP7ZyVDBY40ZHP9UVEgAyqs1HP8HrlhCjEGZlaBh9chQDAABoJkc/cGJN0vGp/HNoJ2qIAgAAaCldchUDAAAoR0ASNpYTq816Rz/+9odVlE23Rz/rZscKBw2TZXV9chYDAAAoaB1dchcDAAB9chgDAAAoaCBqiAIAAGgiSwF1YWgjXXIZAwAAKEc/1JWjoIOYpkc/30/EeOtOQkc/z52oMYzq4GVoGH1yGgMAAGgmRz9gYk3S8an8c2gnaogCAABoKV1yGwMAAChHQBsM6A26oDRHQAtQMjCpfLlHQAkg3Oy2I8NldX1yHAMAAChoHV1yHQMAAH1yHgMAAChoIGqIAgAAaCJLAXVhaCNdch8DAAAoRz/UlaOgg5imRz+GB3Dilje6Rz/QMSvnOYqQZWgYfXIgAwAAaCZHP2BiTdLxqfxzaCdqiAIAAGgpXXIhAwAAKEc/wwf5CafXwkdAC/ode2ZBK0dACSDc7LYjw2V1fXIiAwAAKGgdXXIjAwAAfXIkAwAAKGggaogCAABoIksBdWFoI11yJQMAAChHP+pK0dBBzFNHP+fnagxjOrhHP+BYHcOKWN9laBh9ciYDAABoJkc/YGJN0vGp/HNoJ2qIAgAAaCldcicDAAAoR0AkpqB3Lk6nR0AcPWeeVR2wR0AgDErt59rnZXV9cigDAAAoaB1dcikDAAB9cioDAAAoaCBqiAIAAGgiSwF1YWgjXXIrAwAAKEc/6krR0EHMU0c/6BiV85zFSEc/76fiPHWnIWVoGH1yLAMAAGgmRz9gYk3S8an8c2gnaogCAABoKV1yLQMAAChHQCTRG0ndf8RHQCtZB/HhP5NHQCAMSu3n2udldX1yLgMAAChoHV1yLwMAAH1yMAMAAChoIGqIAgAAaCJLAXVhaCNdcjEDAAAoRz/ltS4vvjOtRz/gWB3DiljfRz/oGJXznMVIZWgYfXIyAwAAaCZHP2BiTdLxqfxzaCdqiAIAAGgpXXIzAwAAKEdAHD1nnlUdsEdAJNEbSd1/xEdAGn/gVI419mV1fXI0AwAAKGgdXXI1AwAAfXI2AwAAKGggaogCAABoIksBdWFoI11yNwMAAChHP+W1Li++M61HP++n4jx1pyFHP+fnagxjOrhlaBh9cjgDAABoJkc/YGJN0vGp/HNoJ2qIAgAAaCldcjkDAAAoR0ArWQfx4T+TR0AkpqB3Lk6nR0Aaf+BUjjX2ZXV9cjoDAAAoaB1dcjsDAAB9cjwDAAAoaCBqiAIAAGgiSwF1YWgjXXI9AwAAKEc/xtS4vvjOs0c/0DEr5zmKkEc/30/EeOtOQmVoGH1yPgMAAGgmRz9gYk3S8an8c2gnaogCAABoKV1yPwMAAChHQAv6HXtmQStHQBsM6A26oDRHP/ve47xmSClldX1yQAMAAChoHV1yQQMAAH1yQgMAAChoIGqIAgAAaCJLAXVhaCNdckMDAAAoRz/G1Li++M6zRz/PnagxjOrgRz+GB3Dilje6ZWgYfXJEAwAAaCZHP2BiTdLxqfxzaCdqiAIAAGgpXXJFAwAAKEdAC1AyMKl8uUc/wwf5CafXwkc/+97jvGZIKWV1fXJGAwAAKGgdXXJHAwAAfXJIAwAAKGggWAIAAABDbHJJAwAAaCJLAXVhaCNdckoDAAAoRz/OJR9ev/7eRz/gL2G9CWBRRz/v6W+awo6FZWgYfXJLAwAAaCZHP6N0vGp++dtzaCdYAgAAAENsckwDAABoKV1yTQMAAChHQBv3BdrtMYJHQCuRqYv7G8xHQAJmTYJl9slldX1yTgMAAChoHV1yTwMAAH1yUAMAAChoIGpJAwAAaCJLAXVhaCNdclEDAAAoRz/OJR9ev/7eRz/v0J5C9p+vRz/gFpBlPXF7ZWgYfXJSAwAAaCZHP6N0vGp++dtzaCdYAgAAAENsclMDAABoKV1yVAMAAChHQCt8ONOVNapHQBvMJGohZT1HQAJmTYJl9slldX1yVQMAAChoHV1yVgMAAH1yVwMAAChoIGpJAwAAaCJLAXVhaCNdclgDAAAoRz/niUfXr/+4Rz/f0t81hR0LRz/foTyF7T9eZWgYfXJZAwAAaCZHP6N0vGp++dtzaCdYAgAAAENscloDAABoKV1yWwMAAChHQBt+K0HuWKhHQBtTSdEijGJHQBy7Tiann1FldX1yXAMAAChoHV1yXQMAAH1yXgMAAChoIGpJAwAAaCJLAXVhaCNdcl8DAAAoRz/niUfXr/+4Rz9mkGU9cXqXRz93sN6EsCh8ZWgYfXJgAwAAaCZHP6N0vGp++dtzaCdYAgAAAENscmEDAABoKV1yYgMAAChHP6N+SgzDJUdHP7R3gTlUpAZHQBy7Tiann1FldX1yYwMAAChoHV1yZAMAAH1yZQMAAChoIGpJAwAAaCJLAXVhaCNdcmYDAAAoRz/odrgoUABIRz/foTyF7T9eRz9mkGU9cXqXZWgYfXJnAwAAaCZHP6N0vGp++dtzaCdYAgAAAENscmgDAABoKV1yaQMAAChHQBtTSdEijGJHP6N+SgzDJUdHQB3dKAm2THNldX1yagMAAChoHV1yawMAAH1ybAMAAChoIGpJAwAAaCJLAXVhaCNdcm0DAAAoRz/odrgoUABIRz93sN6EsCh8Rz/f0t81hR0LZWgYfXJuAwAAaCZHP6N0vGp++dtzaCdYAgAAAENscm8DAABoKV1ycAMAAChHP7R3gTlUpAZHQBt+K0HuWKhHQB3dKAm2THNldX1ycQMAAChoHV1ycgMAAH1ycwMAAChoIGpJAwAAaCJLAXVhaCNdcnQDAAAoRz/Q7XBQoACRRz/gFpBlPXF7Rz/gL2G9CWBRZWgYfXJ1AwAAaCZHP6N0vGp++dtzaCdYAgAAAENscnYDAABoKV1ydwMAAChHQBvMJGohZT1HQBv3BdrtMYJHQASqAUiDUQ9ldX1yeAMAAChoHV1yeQMAAH1yegMAAChoIGpJAwAAaCJLAXVhaCNdcnsDAAAoRz/Q7XBQoACRRz/v6W+awo6FRz/v0J5C9p+vZWgYfXJ8AwAAaCZHP6N0vGp++dtzaCdYAgAAAENscn0DAABoKV1yfgMAAChHQCuRqYv7G8xHQCt8ONOVNapHQASqAUiDUQ9ldWV1WAYAAAB0YXJnZXRyfwMAAEc/+ibpeNT99HUuUEsHCInrizlzSQAAc0kAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgAFAG1iLW1wLWdhcC0wMzE1MjgvYnl0ZW9yZGVyRkIBAFpsaXR0bGVQSwcIhT3jGQYAAAAGAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAYADQAbWItbXAtZ2FwLTAzMTUyOC92ZXJzaW9uRkIwAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjMKUEsHCNGeZ1UCAAAAAgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAJwApAG1iLW1wLWdhcC0wMzE1MjgvLmRhdGEvc2VyaWFsaXphdGlvbl9pZEZCJQBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMDYzNjQ1NzczNzk0NjQwMTA1MTMwMDAwMDAxNTAwOTY4NDc1MjU5M1BLBwjRloKOKAAAACgAAABQSwECAAAAAAgIAAAAAAAAieuLOXNJAABzSQAAGQAAAAAAAAAAAAAAAAAAAAAAbWItbXAtZ2FwLTAzMTUyOC9kYXRhLnBrbFBLAQIAAAAACAgAAAAAAACFPeMZBgAAAAYAAAAaAAAAAAAAAAAAAAAAAMNJAABtYi1tcC1nYXAtMDMxNTI4L2J5dGVvcmRlclBLAQIAAAAACAgAAAAAAADRnmdVAgAAAAIAAAAYAAAAAAAAAAAAAAAAABZKAABtYi1tcC1nYXAtMDMxNTI4L3ZlcnNpb25QSwECAAAAAAgIAAAAAAAA0ZaCjigAAAAoAAAAJwAAAAAAAAAAAAAAAACSSgAAbWItbXAtZ2FwLTAzMTUyOC8uZGF0YS9zZXJpYWxpemF0aW9uX2lkUEsGBiwAAAAAAAAAHgMtAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAACoBAAAAAAAAOEsAAAAAAABQSwYHAAAAAGJMAAAAAAAAAQAAAFBLBQYAAAAABAAEACoBAAA4SwAAAAA=" | ./matbench_mp_gap/mb-mp-gap-031528 | /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-020187 | /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-048056 | /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-046087 | /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-087667 | /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-025039 | /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 |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA5NDY4MS9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQBr0WhCXp9JHvkV5juIwjDpHQA8f1zs6vphlXXENKEdAAfg72ku7akdAGWm28xvA/EdADx/XOzq+mGVdcQ4oRwAAAAAAAAAARwAAAAAAAAAAR0AfH9c6jvIhZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAHx/XFFpQmFgBAAAAYnESR0AfH9crjba0WAEAAABjcRNHQB8f1zqO8iFYBQAAAGFscGhhcRRHQE3///erbWVYBAAAAGJldGFxFUdATf//61coyVgFAAAAZ2FtbWFxFkdATgAAFZTRJVgGAAAAdm9sdW1lcRdHQHTR/1l3i291WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABSYnEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP9AAAAAAAABHP9AAAAAAAABHP9AAAAAAAABlaBh9cSVYBgAAAG1hZ21vbXEmRwAAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAAUmJxKFgDAAAAeHl6cSldcSooR0AB+Dv+3sLERz/5abbyb/SFR0APH9c65NhcZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/6AAAAAAAAEc/6AAAAAAAAEc/6AAAAAAAAGVoGH1xL2gmRwAAAAAAAAAAc2gnWAIAAABSYnEwaCldcTEoR0Aa9Fn+TiQmR0ATD0k10/dkR0AnV+FsK6JGZXV9cTIoaB1dcTN9cTQoaCBYAgAAAFNucTVoIksBdWFoI11xNihHAAAAAAAAAABHAAAAAAAAAABHAAAAAAAAAABlaBh9cTdoJkcAAAAAAAAAAHNoJ1gCAAAAU25xOGgpXXE5KEcAAAAAAAAAAEcAAAAAAAAAAEcAAAAAAAAAAGV1fXE6KGgdXXE7fXE8KGggWAIAAABCcnE9aCJLAXVhaCNdcT4oRz/oSPghOWCfRz/O3B97Gn2FRz/O3B97Gn2FZWgYfXE/aCZHAAAAAAAAAABzaCdYAgAAAEJycUBoKV1xQShHQBafROWFPnVHP/iB60vUe6JHQBcQ6HDor7pldX1xQihoHV1xQ31xRChoIGg9aCJLAXVhaCNdcUUoRz/O3B97Gn2FRz/oSPghOWCfRz/oSPghOWCfZWgYfXFGaCZHAAAAAAAAAABzaCdYAgAAAEJycUdoKV1xSChHQAqiZjBwjiRHQBNJPB961ZxHQCOXYwJwgIBldX1xSShoHV1xSn1xSyhoIGg9aCJLAXVhaCNdcUwoRz/O3B97Gn2FRz/O3B97Gn2FRz/oSPghOWCfZWgYfXFNaCZHAAAAAAAAAABzaCdYAgAAAEJycU5oKV1xTyhHQAFUVIkEN8NHP/iB6004UpJHQB8f1zq4XX5ldX1xUChoHV1xUX1xUihoIGg9aCJLAXVhaCNdcVMoRz/oSPghOWCfRz/O3B97Gn2FRz/oSPghOWCfZWgYfXFUaCZHAAAAAAAAAABzaCdYAgAAAEJycVVoKV1xVihHQBafROWFPnVHP/iB60vUe6JHQCOXYwJwgIBldX1xVyhoHV1xWH1xWShoIGg9aCJLAXVhaCNdcVooRz/oSPghOWCfRz/oSPghOWCfRz/O3B97Gn2FZWgYfXFbaCZHAAAAAAAAAABzaCdYAgAAAEJycVxoKV1xXShHQBtGTbk7aaZHQBNJPB8h3+FHQB8f1zsRUztldX1xXihoHV1xX31xYChoIGg9aCJLAXVhaCNdcWEoRz/O3B97Gn2FRz/oSPghOWCfRz/O3B97Gn2FZWgYfXFiaCZHAAAAAAAAAABzaCdYAgAAAEJycWNoKV1xZChHQAqiZjBwjiRHQBNJPB961ZxHQBcQ6HDor7pldWV1WAYAAAB0YXJnZXRxZUc/9QBo24uscXUuUEsHCIi5pm5oBgAAaAYAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgAQAG1iLW1wLWdhcC0wOTQ2ODEvYnl0ZW9yZGVyRkIMAFpaWlpaWlpaWlpaWmxpdHRsZVBLBwiFPeMZBgAAAAYAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABgANABtYi1tcC1nYXAtMDk0NjgxL3ZlcnNpb25GQjAAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMwpQSwcI0Z5nVQIAAAACAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAnACkAbWItbXAtZ2FwLTA5NDY4MS8uZGF0YS9zZXJpYWxpemF0aW9uX2lkRkIlAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlowNjM2NDU3NzM3OTQ2NDAxMDUxMzAwMDAwMDE4ODUwNTY3OTQ2NDk4UEsHCJtfF0EoAAAAKAAAAFBLAQIAAAAACAgAAAAAAACIuaZuaAYAAGgGAAAZAAAAAAAAAAAAAAAAAAAAAABtYi1tcC1nYXAtMDk0NjgxL2RhdGEucGtsUEsBAgAAAAAICAAAAAAAAIU94xkGAAAABgAAABoAAAAAAAAAAAAAAAAAuAYAAG1iLW1wLWdhcC0wOTQ2ODEvYnl0ZW9yZGVyUEsBAgAAAAAICAAAAAAAANGeZ1UCAAAAAgAAABgAAAAAAAAAAAAAAAAAFgcAAG1iLW1wLWdhcC0wOTQ2ODEvdmVyc2lvblBLAQIAAAAACAgAAAAAAACbXxdBKAAAACgAAAAnAAAAAAAAAAAAAAAAAJIHAABtYi1tcC1nYXAtMDk0NjgxLy5kYXRhL3NlcmlhbGl6YXRpb25faWRQSwYGLAAAAAAAAAAeAy0AAAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAKgEAAAAAAAA4CAAAAAAAAFBLBgcAAAAAYgkAAAAAAAABAAAAUEsFBgAAAAAEAAQAKgEAADgIAAAAAA==" | ./matbench_mp_gap/mb-mp-gap-094681 | /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-076264 | /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-043971 | /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-004927 | /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-076145 | /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-087655 | /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 |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA1MzM1Ny9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQB4xdr4iZQVHAAAAAAAAAABHP6Bg8zTrbyRlXXENKEcAAAAAAAAAAEdAJZZU+q4xgUcAAAAAAAAAAGVdcQ4oR8AM/QXlHE7rRwAAAAAAAAAAR0Al06GrNfk2ZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAHjGIgygOkVgBAAAAYnESR0AlllT6rjGBWAEAAABjcRNHQCb/lIQYXQtYBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAWwf9eROxmVgFAAAAZ2FtbWFxFkdAVoAAAAAAAFgGAAAAdm9sdW1lcRdHQIvTMiUIfwN1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABHZHEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP7e0YG9WegpHP9fEMRIbtmpHP+4SPJMuRY5laBh9cSVYBgAAAG1hZ21vbXEmR0AbszMzMzMzc1gFAAAAbGFiZWxxJ1gCAAAAR2RxKFgDAAAAeHl6cSldcSooR8AFpksVWM0wR0AQCGb3FgASR0AkhFws1gR6ZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/t7Rgb1Z6Ckc/wHed28iTLEc/3CR5JlyLG2VoGH1xL2gmR0AbszMzMzMzc2gnWAIAAABHZHEwaCldcTEoR7/snyCLKpboRz/2N7gOYMW8R0ATNRaudg++ZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/zNctjlid0Uc/4w8lUckgcEc/5k6+z4kUvGVoGH1xNmgmR0AbqPXCj1wpc2gnWAIAAABHZHE3aCldcTgoR7/qaIgoxBGsR0AZtvQzVsxPR0AedcvHinB0ZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/0OWmwyLU7Ec/vMe769P5EUc/6QrYdiNH2WVoGH1xPWgmR0Absi0OVgQZc2gnWAIAAABHZHE+aCldcT8oR7/q+FRI6YI4Rz/zakgBZu7VR0AhGQ8XwD80ZXV9cUAoaB1dcUF9cUIoaCBoIWgiSwF1YWgjXXFDKEc/zNctjlid0Uc/7PDarjbfkEc/yTr7PiRS8WVoGH1xRGgmR0AbqPXCj1wpc2gnWAIAAABHZHFFaCldcUYoRz/vkYOhdIwqR0AjhgVeWeQaR0ABRFQ4qO5+ZXV9cUcoaB1dcUh9cUkoaCBoIWgiSwF1YWgjXXFKKEc/2qzMUVHXOEc/7Enz5JO94kc/4uerP7RK9mVoGH1xS2gmR0Absi0OVgQZc2gnWAIAAABHZHFMaCldcU0oRz/wFhRXHRgoR0AjFW3U/GB1R0AZ18YitZKTZXV9cU4oaB1dcU99cVAoaCBoIWgiSwF1YWgjXXFRKEc/0OWmwyLU7Ec/2M4RBQsBvEc/0hWw7EaPsWVoGH1xUmgmR0Absi0OVgQZc2gnWAIAAABHZHFTaCldcVQoRz/vAbeBTxuiR0AQu8L6VHXMR0AIvPkIlQplZXV9cVUoaB1dcVZ9cVcoaCBoIWgiSwF1YWgjXXFYKEc/4qmZ11cUZEc/2JPnySd7xUc/7RhUwEu1CmVoGH1xWWgmR0Absi0OVgQZc2gnWAIAAABHZHFaaCldcVsoRz/xuLTyF48qR0AQlIavSo9rR0Aj4fBiqxf3ZXV9cVwoaB1dcV19cV4oaCBoIWgiSwF1YWgjXXFfKEc/2qzMUVHXOEc/47YMG2xCHkc/tz1Z/aJXrmVoGH1xYGgmR0Absi0OVgQZc2gnWAIAAABHZHFhaCldcWIoR0AGiY0eHLOJR0AamCNGEdOYRz/wEJHd/mVzZXV9cWMoaB1dcWR9cWUoaCBoIWgiSwF1YWgjXXFmKEc/540snm6Vikc/45j3fXp/Ikc/5vUnidy4J2VoGH1xZ2gmR0Absi0OVgQZc2gnWAIAAABHZHFoaCldcWkoR0AHpXm21LQ2R0AacOb7B+02R0AfaYi4i0QXZXV9cWooaB1dcWt9cWwoaCBoIWgiSwF1YWgjXXFtKEc/4qmZ11cUZEc/vbBg22IQ7Ec/2jCpgJdqFGVoGH1xbmgmR0Absi0OVgQZc2gnWAIAAABHZHFvaCldcXAoR0AHWt1rme8KRz/0BzktjohaR0AR8D8aIDa3ZXV9cXEoaB1dcXJ9cXMoaCBoIWgiSwF1YWgjXXF0KEc/6Mo0nGnYjEc/uHkqjkkDf0c/6bFBMHbrRGVoGH1xdWgmR0AbqPXCj1wpc2gnWAIAAABHZHF2aCldcXcoR0AHgYauy1gVRz/wgnzioms3R0Ahku2QQKkGZXV9cXgoaB1dcXl9cXooaCBoIWgiSwF1YWgjXXF7KEc/540snm6Vikc/7GcIgoWA3kc/y9SeJ3LgnWVoGH1xfGgmR0Absi0OVgQZc2gnWAIAAABHZHF9aCldcX4oR0ATEf5UsW3WR0AjKQv6gVOmR0ADK84aqpXDZXV9cX8oaB1dcYB9cYEoaCBoIWgiSwF1YWgjXXGCKEc/6Mo0nGnYjEc/2eG1XG2/IEc/02KCYO3WiGVoGH1xg2gmR0AbqPXCj1wpc2gnWAIAAABHZHGEaCldcYUoR0ATAATQrL/FR0ARdbXCBZazR0AKpHLqlrGrZXV9cYYoaB1dcYd9cYgoaCBoIWgiSwF1YWgjXXGJKEc/7Qlz8hUwv0c/6+IYiQ3bNUc/4e3DbNG6cmVoGH1ximgmR0AbszMzMzMzc2gnWAIAAABHZHGLaCldcYwoR0ATRtfc+ZBtR0Aiz1344hjJR0AYku6OX7mMZXV9cY0oaB1dcY59cY8oaCBoIWgiSwF1YWgjXXGQKEc/7Qlz8hUwv0c/5B3ndvIky0c/rtw2zRunJWVoGH1xkWgmR0AbszMzMzMzc2gnWAIAAABHZHGSaCldcZMoR0AahhlWQKQoR0AbJEL+RmLwRz/l+mcZTgKxZXV9cZQoaB1dcZV9cZYoaCBYAgAAAEdhcZdoIksBdWFoI11xmChHP6pt1fFjr/5HP+pnpcZ4n89HP+wQTGjkRQ5laBh9cZloJkc/dHrhR64Ue3NoJ1gCAAAAR2FxmmgpXXGbKEfABk4uiN/eE0dAIdAQwj4i10dAIyUj1KXQy2V1fXGcKGgdXXGdfXGeKGggaJdoIksBdWFoI11xnyhHP6pt1fFjr/5HP+WYWjmHYDFHP9ggmNHIih1laBh9caBoJkc/dHrhR64Ue3NoJ1gCAAAAR2FxoWgpXXGiKEe/7z6uWUbaeEdAHSLda45O1kdAEHal/hWoYWV1fXGjKGgdXXGkfXGlKGggaJdoIksBdWFoI11xpihHP9puh92EgAJHP9R9zatvBBpHP+OTYRtN5DllaBh9cadoJkc/dHrhR64Ue3NoJ1gCAAAAR2FxqGgpXXGpKEc/7NLzphedhEdAC6WmLq1vSUdAGsHkKVIBBWV1fXGqKGgdXXGrfXGsKGggaJdoIksBdWFoI11xrShHP+LIvBE9v/9HP+o+5tW3gg1HP+xsnuSyG8dlaBh9ca5oJkc/dHrhR64Ue3NoJ1gCAAAAR2Fxr2gpXXGwKEc/82VPdijYjkdAIbSUCQJ0k0dAI2zhX1zgvWV1fXGxKGgdXXGyfXGzKGggaJdoIksBdWFoI11xtChHP9puh92EgAJHP8cEZKkh98xHP7ybCNpvIcxlaBh9cbVoJkc/dHrhR64Ue3NoJ1gCAAAAR2FxtmgpXXG3KEdABbM/3BQO1kc//w4HjV3nckc/87kJ+HAfQGV1fXG4KGgdXXG5fXG6KGggaJdoIksBdWFoI11xuyhHP+LIvBE9v/9HP+XBGSpIffNHP9jZPclkN41laBh9cbxoJkc/dHrhR64Ue3NoJ1gCAAAAR2FxvWgpXXG+KEdACDEqraKTvUdAHVnW3gWrXUdAEQYhE4PIRGV1fXG/KGgdXXHAfXHBKGggaJdoIksBdWFoI11xwihHP+5ZIqDpxQBHP9TPS4zxP55HP+Pvs5cbuvJlaBh9ccNoJkc/dHrhR64Ue3NoJ1gCAAAAR2FxxGgpXXHFKEdAE5rJlr0Y3kdADBOZE5woWUdAG1FfPsAg6mV1fXHGKGgdXXHHfXHIKGggaJdoIksBdWFoI11xyShHP+5ZIqDpxQBHP8ZhaOYdgMRHP799nLjd14xlaBh9ccpoJkc/dHrhR64Ue3NoJ1gCAAAAR2Fxy2gpXXHMKEdAGtoLEAQsmUc//jIhw4B1Ukc/9fb2Tiiey2V1fXHNKGgdXXHOfXHPKGggWAEAAABPcdBoIksBdWFoI11x0ShHP7BjZgDl2Q1HP+/HkuFDp0pHP+te/WZypbplaBh9cdJoJkc/dHrhR64Ue3NoJ2jQaCldcdMoR8AE7eieqa0GR0AlcERJKgwTR0AirGdVq3yKZXV9cdQoaB1dcdV9cdYoaCBo0GgiSwF1YWgjXXHXKEc/loZ3J/+jZEc/57DzsxWWlUc/510t/hUZQmVoGH1x2GgmRz90euFHrhR7c2gnaNBoKV1x2ShHwAPWNyyvyo1HQB/22Jvpea5HQB/gDbdGnUNldX1x2ihoHV1x231x3ChoIGjQaCJLAXVhaCNdcd0oRz/FT0CaeelQRz/v625IMh3fRz/jccOh1dMxZWgYfXHeaCZHP4Jul41P3ztzaCdo0GgpXXHfKEe/7j6u2Az0SkdAJYh0uGHbJ0dAGov1mSLmQ2V1fXHgKGgdXXHhfXHiKGggaNBoIksBdWFoI11x4yhHP8bUz2UtgUNHP9DVkgLMYxtHP+OsJgjTOExlaBh9ceRoJke/YGJN0vGp/HNoJ2jQaCldceUoR7/sMx3HEpSaR0AGtntFhVz7R0Aa2/6xvc7LZXV9ceYoaB1dced9cegoaCBo0GgiSwF1YWgjXXHpKEc/0/Xfy1cr4Uc/4C4UKllv3kc/7KC/N+PHD2VoGH1x6mgmRwAAAAAAAAAAc2gnaNBoKV1x6yhHv+xmnIDsR+BHQBXUgGQMaeJHQCOL7cAP7nhldX1x7ChoHV1x7X1x7ihoIGjQaCJLAXVhaCNdce8oRz+wY2YA5dkNRz/gOG0evFi2Rz/WvfrM5Ut0ZWgYfXHwaCZHP3R64UeuFHtzaCdo0GgpXXHxKEe/6b2WsG4WRkdAFeJ2XbZ8XkdADwpaAEH/u2V1fXHyKGgdXXHzfXH0KGggaNBoIksBdWFoI11x9ShHP5aGdyf/o2RHP+hPDEzqaWtHP810t/hUZQdlaBh9cfZoJkc/dHrhR64Ue3NoJ2jQaCldcfcoR7/lXtDohoxbR0AgZhMqEI1rR0AEGNgYIUgZZXV9cfgoaB1dcfl9cfooaCBo0GgiSwF1YWgjXXH7KEc/2GNpvIcvX0c/zpy+0o4s1Ec/7pc0xS6dzWVoGH1x/GgmRz94k3S8an76c2gnaNBoKV1x/ShHv+LNJbj9VzBHQASmrUPsZwhHQCTjx/4DOjdldX1x/ihoHV1x/31yAAEAAChoIGjQaCJLAXVhaCNdcgEBAAAoRz/H+9RhwZEERz/njHiOsgn+Rz/g3f5dk4QBZWgYfXICAQAAaCZHP3ysCDEm6XlzaCdo0GgpXXIDAQAAKEe/37g/o1RwCEdAH8WgN++bkkdAFwibHYurFmV1fXIEAQAAKGgdXXIFAQAAfXIGAQAAKGggaNBoIksBdWFoI11yBwEAAChHP93RisHlaCRHP+dJmdy1eBxHP+gEBxXz3TJlaBh9cggBAABoJkc/gGJN0vGp/HNoJ2jQaCldcgkBAAAoRz/phHyBNuhAR0Afa2ejZqYyR0AgaRoYM1YjZXV9cgoBAAAoaB1dcgsBAAB9cgwBAAAoaCBo0GgiSwF1YWgjXXINAQAAKEc/xU9AmnnpUEc/4BSRt83iIUc/u44dDq6ZhmVoGH1yDgEAAGgmRz+CbpeNT987c2gnaNBoKV1yDwEAAChHP+u7XPIrqYtHQBWyFX9G3jVHP/LhT7eztDNldX1yEAEAAChoHV1yEQEAAH1yEgEAAChoIGjQaCJLAXVhaCNdchMBAAAoRz/G1M9lLYFDRz/OVNv6ZznLRz+9YTBGmcJeZWgYfXIUAQAAaCZHv2BiTdLxqfxzaCdo0GgpXXIVAQAAKEc/7cbuAyYJPEdABHYur9cGCEc/9CF0Gh9WVWV1fXIWAQAAKGgdXXIXAQAAfXIYAQAAKGggaNBoIksBdWFoI11yGQEAAChHP+DE6FHjd4lHP+9BxWIfWeJHP+pf0RDUOKdlaBh9choBAABoJkcAAAAAAAAAAHNoJ2jQaCldchsBAAAoRz/vAqb0IiLER0AlFgDXIqOPR0AiBeN/F4FnZXV9chwBAAAoaB1dch0BAAB9ch4BAAAoaCBo0GgiSwF1YWgjXXIfAQAAKEc/0/Xfy1cr4Uc/79Hr1aaQIkc/2UF+b8eOH2VoGH1yIAEAAGgmRwAAAAAAAAAAc2gnaNBoKV1yIQEAAChHP+2Tb0lMVfRHQCV3P0X/FVBHQBFEOdTp47pldX1yIgEAAChoHV1yIwEAAH1yJAEAAChoIGjQaCJLAXVhaCNdciUBAAAoRz/edi9cORDuRz/eg4rEPrPFRz/loC7vK8dZZWgYfXImAQAAaCZHAAAAAAAAAABzaCdo0GgpXXInAQAAKEc/8k11zyOV8EdAFJWss5cVnUdAHY/f6dy/s2V1fXIoAQAAKGgdXXIpAQAAfXIqAQAAKGggaNBoIksBdWFoI11yKwEAAChHP9hjabyHL19HP9CxoJa46ZZHP90uaYpdO5plaBh9ciwBAABoJkc/eJN0vGp++nNoJ2jQaCldci0BAAAoRz/zlnMInaNUR0AGhfyxb/v6R0AT8+5Q0Hs3ZXV9ci4BAAAoaB1dci8BAAB9cjABAAAoaCBo0GgiSwF1YWgjXXIxAQAAKEc/4Rc6nw1L7kc/zSZnctXgckc/5/v46gwizmVoGH1yMgEAAGgmRz+AYk3S8an8c2gnaNBoKV1yMwEAAChHP/UMiwiZMzRHQAOqJVFw6WRHQCBkuVvSix1ldX1yNAEAAChoHV1yNQEAAH1yNgEAAChoIGjQaCJLAXVhaCNdcjcBAAAoRz/H+9RhwZEERz/oc4dxTfYCRz+bv8uycIAbZWgYfXI4AQAAaCZHP3ysCDEm6XlzaCdo0GgpXXI5AQAAKEc/9Q71/Ecy6kdAIH6vXA18eEc/00+XJVsd9mV1fXI6AQAAKGgdXXI7AQAAfXI8AQAAKGggaNBoIksBdWFoI11yPQEAAChHP+oBCuePm79HP84x4jrIJ/dHP+8iAaJse/9laBh9cj4BAABoJkc/fKwIMSbpeXNoJ2jQaCldcj8BAAAoR0AE3myZBOGqR0AEXpZ6gtQiR0AlSYXlQAu2ZXV9ckABAAAoaB1dckEBAAB9ckIBAAAoaCBo0GgiSwF1YWgjXXJDAQAAKEc/3dGKweVoJEc/6LZmI0qH5Ec/0AgOK+e6ZGVoGH1yRAEAAGgmRz+AYk3S8an8c2gnaNBoKV1yRQEAAChHQATfohLb4YVHQCCry6ZR9yhHQAX9JQphZiJldX1yRgEAAChoHV1yRwEAAH1ySAEAAChoIGjQaCJLAXVhaCNdckkBAAAoRz/jzkshvGhRRz/npy+0o4s1Rz/haMs60WIzZWgYfXJKAQAAaCZHP3iTdLxqfvpzaCdo0GgpXXJLAQAAKEdABZquEtmpdkdAH+mrnKRlBUdAF9QW7AVOE2V1fXJMAQAAKGgdXXJNAQAAfXJOAQAAKGggaNBoIksBdWFoI11yTwEAAChHP+DE6FHjd4lHP+C+Op3gph5HP9S/oiGocU5laBh9clABAABoJkcAAAAAAAAAAHNoJ2jQaCldclEBAAAoR0AGPyyvlrAmR0AWlv1BxU1mR0AMcEql8hMwZXV9clIBAAAoaB1dclMBAAB9clQBAAAoaCBo0GgiSwF1YWgjXXJVAQAAKEc/5gUQGlRqEEc/dwoVLLfu70c/419AyBw48WVoGH1yVgEAAGgmRwAAAAAAAAAAc2gnaNBoKV1yVwEAAChHQAgBC8TVZaNHP68VtK8cMIlHQBqDy2fr5ZBldX1yWAEAAChoHV1yWQEAAH1yWgEAAChoIGjQaCJLAXVhaCNdclsBAAAoRz/edi9cORDuRz+Xx1O8FMOxRz/GgLNZM00JZWgYfXJcAQAAaCZHAAAAAAAAAABzaCdo0GgpXXJdAQAAKEdAB6U/wHgNokc/0AqEcXG+Rkc//vDtiRPk3WV1fXJeAQAAKGgdXXJfAQAAfXJgAQAAKGggaNBoIksBdWFoI11yYQEAAChHP+pKzCa0n69HP+hqyQFmMY1HP+xT2fcsx7RlaBh9cmIBAABoJke/YGJN0vGp/HNoJ2jQaCldcmMBAAAoR0AH9CwWXvjRR0AgeMlOuG//R0AjX9QbJvnaZXV9cmQBAAAoaB1dcmUBAAB9cmYBAAAoaCBo0GgiSwF1YWgjXXJnAQAAKEc/6qwv2WGFrEc/39bckGQ7v0c/7I48Xiosz2VoGH1yaAEAAGgmRz+CbpeNT987c2gnaNBoKV1yaQEAAChHQAh3EFqdkL1HQBV6lHYVhM1HQCOH2Kd0bh9ldX1yagEAAChoHV1yawEAAH1ybAEAAChoIGjQaCJLAXVhaCNdcm0BAAAoRz/hFzqfDUvuRz/RbMxGlQ/HRz/P7+OoMIs4ZWgYfXJuAQAAaCZHP4BiTdLxqfxzaCdo0GgpXXJvAQAAKEdACQTIdtrBD0dAB4KEo+t5nkdABeuiGN46BmV1fXJwAQAAKGgdXXJxAQAAfXJyAQAAKGggaNBoIksBdWFoI11ycwEAAChHP+oBCuePm79HP9DnDuKb7ARHP95EA0TY9/5laBh9cnQBAABoJkc/fKwIMSbpeXNoJ2jQaCldcnUBAAAoR0ARrnfFyYSQR0AGzhN62Y7fR0AUv2ofSh41ZXV9cnYBAAAoaB1dcncBAAB9cngBAAAoaCBo0GgiSwF1YWgjXXJ5AQAAKEc/485LIbxoUUc/6FjQS1x0y0c/poyzrRYjLWVoGH1yegEAAGgmRz94k3S8an76c2gnaNBoKV1yewEAAChHQBIMmIKz6HZHQCBsqamzF79HP+ADqgZ6pudldX1yfAEAAChoHV1yfQEAAH1yfgEAAChoIGjQaCJLAXVhaCNdcn8BAAAoRz/vS8xGwALlRz/Ow87MVlpVRz/ootIB6ua+ZWgYfXKAAQAAaCZHP3R64UeuFHtzaCdo0GgpXXKBAQAAKEdAEl7N6KUPGkdABMEHQnaQW0dAIN3MmGKSn2V1fXKCAQAAKGgdXXKDAQAAfXKEAQAAKGggaNBoIksBdWFoI11yhQEAAChHP+3zkz/jRN5HP9+PJcKHTpNHP+ShApmNWkZlaBh9coYBAABoJkc/dHrhR64Ue3NoJ2jQaCldcocBAAAoR0AS6qahogBYR0AVSjOXpeajR0AcQtg8tMltZXV9cogBAAAoaB1dcokBAAB9cooBAAAoaCBo0GgiSwF1YWgjXXKLAQAAKEc/5gUQGlRqEEc/36PXq00gREc/uvoGQOHHhmVoGH1yjAEAAGgmRwAAAAAAAAAAc2gnaNBoKV1yjQEAAChHQBM/x1uxxo1HQBVYKZFP+SBHP/LApvLXsWhldX1yjgEAAChoHV1yjwEAAH1ykAEAAChoIGjQaCJLAXVhaCNdcpEBAAAoRz/qSswmtJ+vRz/nlTb+mc5zRz/Yp7PuWY9oZWgYfXKSAQAAaCZHv2BiTdLxqfxzaCdo0GgpXXKTAQAAKEdAEzlXhHaQI0dAH9FsUpm0hUdAEOwGixf6f2V1fXKUAQAAKGgdXXKVAQAAfXKWAQAAKGggaNBoIksBdWFoI11ylwEAAChHP+qsL9lhhaxHP2SRt83iIJxHP9kceLxUWZ9laBh9cpgBAABoJkc/gm6XjU/fO3NoJ2jQaCldcpkBAAAoR0ATesmmldwZRz+bwISYrLPmR0ARPA+jsuMIZXV9cpoBAAAoaB1dcpsBAAB9cpwBAAAoaCBo0GgiSwF1YWgjXXKdAQAAKEc/70vMRsAC5Uc/0J4YmdTS1kc/0UWkA9XNfGVoGH1yngEAAGgmRz90euFHrhR7c2gnaNBoKV1ynwEAAChHQBmeD2HsItZHQAZrorLl0qhHQAfP7wseWA5ldX1yoAEAAChoHV1yoQEAAH1yogEAAChoIGjQaCJLAXVhaCNdcqMBAAAoRz/t85M/40TeRz98No9eLFsoRz/ChApmNWkYZWgYfXKkAQAAaCZHP3R64UeuFHtzaCdo0GgpXXKlAQAAKEdAGinoGukUE0c/swhYwhK3U0c/+bzaRftA22V1ZXVYBgAAAHRhcmdldHKmAQAAR0AJC3gDRtxcdS5QSwcIGjuYe0gfAABIHwAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAaADAAbWItbXAtZ2FwLTA1MzM1Ny9ieXRlb3JkZXJGQiwAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpsaXR0bGVQSwcIhT3jGQYAAAAGAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAYADQAbWItbXAtZ2FwLTA1MzM1Ny92ZXJzaW9uRkIwAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjMKUEsHCNGeZ1UCAAAAAgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAJwApAG1iLW1wLWdhcC0wNTMzNTcvLmRhdGEvc2VyaWFsaXphdGlvbl9pZEZCJQBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMDYzNjQ1NzczNzk0NjQwMTA1MTMwMDAwMDAxOTcwMTI4NDcxNjk2M1BLBwhhA/vaKAAAACgAAABQSwECAAAAAAgIAAAAAAAAGjuYe0gfAABIHwAAGQAAAAAAAAAAAAAAAAAAAAAAbWItbXAtZ2FwLTA1MzM1Ny9kYXRhLnBrbFBLAQIAAAAACAgAAAAAAACFPeMZBgAAAAYAAAAaAAAAAAAAAAAAAAAAAJgfAABtYi1tcC1nYXAtMDUzMzU3L2J5dGVvcmRlclBLAQIAAAAACAgAAAAAAADRnmdVAgAAAAIAAAAYAAAAAAAAAAAAAAAAABYgAABtYi1tcC1nYXAtMDUzMzU3L3ZlcnNpb25QSwECAAAAAAgIAAAAAAAAYQP72igAAAAoAAAAJwAAAAAAAAAAAAAAAACSIAAAbWItbXAtZ2FwLTA1MzM1Ny8uZGF0YS9zZXJpYWxpemF0aW9uX2lkUEsGBiwAAAAAAAAAHgMtAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAACoBAAAAAAAAOCEAAAAAAABQSwYHAAAAAGIiAAAAAAAAAQAAAFBLBQYAAAAABAAEACoBAAA4IQAAAAA=" | ./matbench_mp_gap/mb-mp-gap-053357 | /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-013597 | /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-013635 | /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-008361 | /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-099347 | /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-099239 | /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-010226 | /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-081074 | /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-080862 | /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 |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTAwODA2MC9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHP/xp7J2ikr1HP/Bnmh14Cv9HQBOxYPQLqwRlXXENKEdAEjkG22ZtnUfAAaACuJcKyUc/tSRqF6DbgmVdcQ4oR0ATs8hVbsdeR0AGwA8df0HVRz/FJGpCk/lHZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAFVUyOfzzO1gBAAAAYnESR0AUPpW/gBDbWAEAAABjcRNHQBbCg5kikelYBQAAAGFscGhhcRRHQEvmCai15DhYBAAAAGJldGFxFUdAUG5YfrGNllgFAAAAZ2FtbWFxFkdAUyjRj/M9UFgGAAAAdm9sdW1lcRdHQFzyiOTL7KR1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABOYXEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP/AAAAAAAABHP9Ac+CibKb1HP9fxhf8y+4BlaBh9cSVYBgAAAG1hZ21vbXEmR79gYk3S8an8c1gFAAAAbGFiZWxxJ1gCAAAATmFxKFgDAAAAeHl6cSldcSooR0ATD/K3DnvIRz/4jWSjD5kYR0AUBfKiZ17ZZXV9cSsoaB1dcSx9cS0oaCBYAQAAAFZxLmgiSwF1YWgjXXEvKEc/8AAAAAAAAEc/i0Jw6MtbCEc/78l7Hi5pSmVoGH1xMGgmRz/9YEGJN0vHc2gnaC5oKV1xMShHQBrqyhjxbdhHQA6RCy/pRApHQBRahEYeAWlldX1xMihoHV1xM31xNChoIGguaCJLAXVhaCNdcTUoRz/gAAAAAAAARz/kb7HkPi2NRz/HIJxCQGxXZWgYfXE2aCZHP/GFHrhR64VzaCdoLmgpXXE3KEdAEr/P+MMSfke/2FqNekdWDkdABFqERWE8VGV1fXE4KGgdXXE5fXE6KGggaC5oIksBdWFoI11xOyhHP+AAAAAAAABHP9i0AqZ4ejpHP+nTAGLRW31laBh9cTxoJkc/8bZFocrAg3NoJ2guaCldcT0oR0AafD96+5QoRz//UMJxObdLR0AFA6eixfTgZXV9cT4oaB1dcT99cUAoaCBYAQAAAE9xQWgiSwF1YWgjXXFCKEc/0M9+jaSY0Uc/gRHuFBo+RUc/xDzwzDBvtGVoGH1xQ2gmR7+jdLxqfvnbc2gnaEFoKV1xRChHP/SIBJd7KvdHP+ZrGsNOzzhHP/UejYgZdZFldX1xRShoHV1xRn1xRyhoIGhBaCJLAXVhaCNdcUgoRz/m6RtBz9kcRz/Wjrq4ox8pRz+pxiht3VMtZWgYfXFJaCZHv6R64UeuFHtzaCdoQWgpXXFKKEdACQAx5TvkUUc/uceSIrfqUEdADH9ypmRMgWV1fXFLKGgdXXFMfXFNKGggaEFoIksBdWFoI11xTihHP+eYQLkts5dHP4ER7hQaPkVHP+qsfBSjexplaBh9cU9oJke/o3S8an7523NoJ2hBaCldcVAoR0AVz/wxAZrMR0AI3VNReJHwR0AOJcHILiCFZXV9cVEoaB1dcVJ9cVMoaCBoQWgiSwF1YWgjXXFUKEc/0i3JfGBNyUc/1o66uKMfKUc/4xxAHNCbOWVoGH1xVWgmR7+keuFHrhR7c2gnaEFoKV1xVihHQBQ06WbpMKZHP/NofknbJlNHP/hrK8nUJttldX1xVyhoHV1xWH1xWShoIGhBaCJLAXVhaCNdcVooRz/m7D/O9/VFRz/lJxJTE84+Rz/Y+OZwt84NZWgYfXFbaCZHv5++dsi0OVhzaCdoQWgpXXFcKEdAGNJdSkf2nUc/2NEiSUch7kdADSp38PkR92V1fXFdKGgdXXFefXFfKGggaEFoIksBdWFoI11xYChHP9IngGIQFXdHP+UnElMTzj5HP+5ceFuxVqVlaBh9cWFoJke/n752yLQ5WHNoJ2hBaCldcWIoR0AgYH4gMnWARz/4hc1rJat8Rz/5ua5O/l6xZXVldVgGAAAAdGFyZ2V0cWNHP+q4UeuFHrx1LlBLBwjo+rB+nwYAAJ8GAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABoAGQBtYi1tcC1nYXAtMDA4MDYwL2J5dGVvcmRlckZCFQBaWlpaWlpaWlpaWlpaWlpaWlpaWlpsaXR0bGVQSwcIhT3jGQYAAAAGAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAYADQAbWItbXAtZ2FwLTAwODA2MC92ZXJzaW9uRkIwAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjMKUEsHCNGeZ1UCAAAAAgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAJwApAG1iLW1wLWdhcC0wMDgwNjAvLmRhdGEvc2VyaWFsaXphdGlvbl9pZEZCJQBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMDYzNjQ1NzczNzk0NjQwMTA1MTMwMDAwMDAxOTg4MzY2ODQ2ODgxMlBLBwjJkXB0KAAAACgAAABQSwECAAAAAAgIAAAAAAAA6Pqwfp8GAACfBgAAGQAAAAAAAAAAAAAAAAAAAAAAbWItbXAtZ2FwLTAwODA2MC9kYXRhLnBrbFBLAQIAAAAACAgAAAAAAACFPeMZBgAAAAYAAAAaAAAAAAAAAAAAAAAAAO8GAABtYi1tcC1nYXAtMDA4MDYwL2J5dGVvcmRlclBLAQIAAAAACAgAAAAAAADRnmdVAgAAAAIAAAAYAAAAAAAAAAAAAAAAAFYHAABtYi1tcC1nYXAtMDA4MDYwL3ZlcnNpb25QSwECAAAAAAgIAAAAAAAAyZFwdCgAAAAoAAAAJwAAAAAAAAAAAAAAAADSBwAAbWItbXAtZ2FwLTAwODA2MC8uZGF0YS9zZXJpYWxpemF0aW9uX2lkUEsGBiwAAAAAAAAAHgMtAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAACoBAAAAAAAAeAgAAAAAAABQSwYHAAAAAKIJAAAAAAAAAQAAAFBLBQYAAAAABAAEACoBAAB4CAAAAAA=" | ./matbench_mp_gap/mb-mp-gap-008060 | /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-033796 | /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-004836 | /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 |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA1ODY2NS9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHwA4FJpmcyaVHvkV5juIwjDpHgAAAAAAAAABlXXENKEcAAAAAAAAAAEcAAAAAAAAAAEfAEUCl2m+ipWVdcQ4oR7/+BScefO28R8AVycSyTBgHR4AAAAAAAAAAZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdADgUmmZzJpVgBAAAAYnESR0ARQKXab6KlWAEAAABjcRNHQBcLZNTiuyBYBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAUb+VZPekH1gFAAAAZ2FtbWFxFkdAVoAAAAAAAFgGAAAAdm9sdW1lcRdHQFYKS2Lf5b51WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABDZXEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP8GegiEs9lhHP+gAAAAAAABHP+cwvu9phNRlaBh9cSVYBgAAAG1hZ21vbXEmRz/N0vGp++dtc1gFAAAAbGFiZWxxJ1gCAAAAQ2VxKFgDAAAAeHl6cSldcSooR7/+BSb56EyhR8APlGwQmPMLR8AJ4PjHp3P4ZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/67PregwKpUc/0AAAAAAAAEc/0TBSF8/Va2VoGH1xL2gmRz/RJul41P30c2gnWAIAAABDZXEwaCldcTEoR8AOBSardLe2R7/3aC4YV8koR7/xQKXab6KlZXV9cTIoaB1dcTN9cTQoaCBYAgAAAE5pcTVoIksBdWFoI11xNihHP9pMMcdNW/5HP+gAAAAAAABHP8bPOOLKkAdlaBh9cTdoJke/oGJN0vGp/HNoJ1gCAAAATmlxOGgpXXE5KEe//gUmsUptYEe/7w+eTyZYHEfACeD4x6dz+GV1fXE6KGgdXXE7fXE8KGggWAIAAABQdHE9aCJLAXVhaCNdcT4oRz/ivlsaAgnFRz/QAAAAAAAARz/qg0nGnYi8ZWgYfXE/aCZHv4Jul41P3ztzaCdYAgAAAFB0cUBoKV1xQShHwA4FJs4jvuhHwBINVAoAxtVHv/FApdpvoqVldWV1WAYAAAB0YXJnZXRxQkcAAAAAAAAAAHUuUEsHCIaDzdoQBAAAEAQAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgAoAG1iLW1wLWdhcC0wNTg2NjUvYnl0ZW9yZGVyRkIkAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWmxpdHRsZVBLBwiFPeMZBgAAAAYAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABgANABtYi1tcC1nYXAtMDU4NjY1L3ZlcnNpb25GQjAAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMwpQSwcI0Z5nVQIAAAACAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAnACkAbWItbXAtZ2FwLTA1ODY2NS8uZGF0YS9zZXJpYWxpemF0aW9uX2lkRkIlAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlowNjM2NDU3NzM3OTQ2NDAxMDUxMzAwMDAwMDI2MzYyNjcxNDIxNTg4UEsHCBLoMgsoAAAAKAAAAFBLAQIAAAAACAgAAAAAAACGg83aEAQAABAEAAAZAAAAAAAAAAAAAAAAAAAAAABtYi1tcC1nYXAtMDU4NjY1L2RhdGEucGtsUEsBAgAAAAAICAAAAAAAAIU94xkGAAAABgAAABoAAAAAAAAAAAAAAAAAYAQAAG1iLW1wLWdhcC0wNTg2NjUvYnl0ZW9yZGVyUEsBAgAAAAAICAAAAAAAANGeZ1UCAAAAAgAAABgAAAAAAAAAAAAAAAAA1gQAAG1iLW1wLWdhcC0wNTg2NjUvdmVyc2lvblBLAQIAAAAACAgAAAAAAAAS6DILKAAAACgAAAAnAAAAAAAAAAAAAAAAAFIFAABtYi1tcC1nYXAtMDU4NjY1Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRQSwYGLAAAAAAAAAAeAy0AAAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAKgEAAAAAAAD4BQAAAAAAAFBLBgcAAAAAIgcAAAAAAAABAAAAUEsFBgAAAAAEAAQAKgEAAPgFAAAAAA==" | ./matbench_mp_gap/mb-mp-gap-058665 | /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-081508 | /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 |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTAwMzE0MC9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQBQY2J69GfxHv8LAF7KkLJtHP7ZKxPU9A2xlXXENKEdAAZSipbHV0UdAEkj/3vLqGEe/p3vriM+c4WVdcQ4oR7/xqX+ogb7cR0AANCFPhfoqR0AyYgaXHelKZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAFBvOBZ7oCFgBAAAAYnESR0AUSgZObfF9WAEAAABjcRNHQDKG7mSwY8dYBQAAAGFscGhhcRRHQFWWHP84NWxYBAAAAGJldGFxFUdAVycS8/edGFgFAAAAZ2FtbWFxFkdAUICcRWTXHlgGAAAAdm9sdW1lcRdHQHrWk92lLCV1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABMaXEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP9SEzK3uD2hHP8jmiIqokAJHP+yXCu6bfqFlaBh9cSVYBgAAAG1hZ21vbXEmRz+CbpeNT987c1gFAAAAbGFiZWxxJ1gCAAAATGlxKFgDAAAAeHl6cSldcSooRz/w1T/y4xcuR0AFNycAw67IR0AwcWd2JH0AZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/07zY7pklVUc/x03uNPxhD0c/2TP7OfKVCGVoGH1xL2gmRz+EeuFHrhR7c2gnWAIAAABMaXEwaCldcTEoRz/4PPobIrr4Rz/5WwCi/by+R0AdB9YrAjX0ZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/xcM+QzGt+Ec/49KIPXu2hUc/0HzBp1TDJmVoGH1xNmgmRz+GhysCDEm6c2gnWAIAAABMaXE3aCldcTgoRz/+5fSWN8zKR0AKoOYraf8OR0AS422zBICOZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/61ZxzEsctEc/1mzBVB25eUc/6AtsdR46KGVoGH1xPWgmRz+Ik3S8an76c2gnWAIAAABMaXE+aCldcT8oR0AQ7mF3yEjdR0AH/OrkvkDuR0ArvgX/OOldZXV9cUAoaB1dcUF9cUIoaCBoIWgiSwF1YWgjXXFDKEc/7dxyJo4JQ0c/7aixhMfQZEc/7ALfHVxcTGVoGH1xRGgmRz+Ik3S8an76c2gnWAIAAABMaXFFaCldcUYoR0AXCS4XN1ptR0AXfhs573uoR0AwIVdXhUkbZXV9cUcoaB1dcUh9cUkoaCBoIWgiSwF1YWgjXXFKKEc/7XLLeZCPsEc/7gGGV8ho5Uc/2A/7H8Zu5WVoGH1xS2gmRz+Ik3S8an76c2gnWAIAAABMaXFMaCldcU0oR0AZE7XbZvrFR0ATpxBJqZEgR0Aby2qjAZLPZXV9cU4oaB1dcU99cVAoaCBYAgAAAEZlcVFoIksBdWFoI11xUihHP7JKrfkiFVRHP64I9smgcnxHP+PoCIJajcBlaBh9cVNoJkdAD+uFHrhR7HNoJ1gCAAAARmVxVGgpXXFVKEe/yXHjYbQdGkc/+Ehomu010EdAJuDN0vTSE2V1fXFWKGgdXXFXfXFYKGggaFFoIksBdWFoI11xWShHP+9qHv1GPE9HP+EZrt14lpVHP+/etLEiIWhlaBh9cVpoJkdAD0/fO2RaHXNoJ1gCAAAARmVxW2gpXXFcKEdAFAd5FyjlVkdAEUPVa/pr/0dAMl6CQjI+aGV1fXFdKGgdXXFefXFfKGggaFFoIksBdWFoI11xYChHP7AZtYi4ddNHP7KcXMJ4tfRHP79ryf2PjVFlaBh9cWFoJkdAEA1P3ztkWnNoJ1gCAAAARmVxYmgpXXFjKEc/1cbNjO4yOEc/4kt6WZPPTkdAAhFFQtW2mGV1fXFkKGgdXXFlfXFmKGggaFFoIksBdWFoI11xZyhHP+9vHQPG3vdHP+C/OAP9ZZxHP9+wl4z5+QBlaBh9cWhoJkdADysCDEm6XnNoJ1gCAAAARmVxaWgpXXFqKEdAFifUcitmwkdACgLKCc3FE0dAIlPp+Gf3tWV1fXFrKGgdXXFsfXFtKGggaFFoIksBdWFoI11xbihHP+Bv7lo7NN9Hvy4BR9OpNO1HP+gbl0VWdlllaBh9cW9oJkdADyj1wo9cKXNoJ1gCAAAARmVxcGgpXXFxKEc/+/p2/yuDq0c/9zGlnEJN50dAK8mlMqeHZWV1fXFyKGgdXXFzfXF0KGggaFFoIksBdWFoI11xdShHP+CAk/mcjpdHP+/bO6AUMhFHP9Aqjr8gEO1laBh9cXZoJkdADybpeNT99HNoJ1gCAAAARmVxd2gpXXF4KEdAEf/cw+I5PUdAE/KJyKiydkdAEpIl3IZ7TGV1fXF5KGgdXXF6fXF7KGggaFFoIksBdWFoI11xfChHP9sTwuA55wJHP9t2o3Vlh8RHP+PmNxv1/8xlaBh9cX1oJkdAEC4UeuFHrnNoJ1gCAAAARmVxfmgpXXF/KEdAAw7RPGqKeEdACUX7lw5OrUdAJuWxTck33mV1fXGAKGgdXXGBfXGCKGggaFFoIksBdWFoI11xgyhHP9tq7epTxlFHP9t0neGn0D5HP79M0sGDbYhlaBh9cYRoJkdAD7peNT987nNoJ1gCAAAARmVxhWgpXXGGKEdAB65yOSHZK0dAASrhtpu5nkdAAh8yS0WNA2V1fXGHKGgdXXGIfXGJKGggaFFoIksBdWFoI11xiihHP+IuQC9FEgNHP+KpQoQJDpxHP+wGshtwns9laBh9cYtoJkdADQxJul41P3NoJ1gCAAAARmVxjGgpXXGNKEdACVqj3rnNR0dAEW0OzAHePEdAMB9vx5lvcWV1fXGOKGgdXXGPfXGQKGggaFFoIksBdWFoI11xkShHP+JnkgUlrrtHP+I6Xwv/EcNHP9gE6qByUNVlaBh9cZJoJkdADcrAgxJumHNoJ1gCAAAARmVxk2gpXXGUKEdADdFCjoYyuEdACj0UbZtv0EdAG7E3tUwGFGV1fXGVKGgdXXGWfXGXKGggWAEAAABPcZhoIksBdWFoI11xmShHP8gf4FqeMS5HP9KVhMyC+vJHP+YnRXP9fcVlaBh9cZpoJkc/eJN0vGp++nNoJ2iYaCldcZsoRz/qRGaVoIwjR0AFna5T6D+6R0ApdX04mNzKZXV9cZwoaB1dcZ19cZ4oaCBomGgiSwF1YWgjXXGfKEc/0viSF8UYo0c/ydi9hl3SmUc/4cgUkVyJQ2VoGH1xoGgmR7+6HKwIMSbpc2gnaJhoKV1xoShHP/UdSwS6HVJHQAAKhMgKvfpHQCR2gTSd6CxldX1xoihoHV1xo31xpChoIGiYaCJLAXVhaCNdcaUoRz+2vfsiy4b9Rz/npbr6klfcRz/iKGD3kZx1ZWgYfXGmaCZHv4iTdLxqfvpzaCdomGgpXXGnKEc/9xpVjdeJEkdAEg66RSLdYUdAJM9HIZg4sWV1fXGoKGgdXXGpfXGqKGggaJhoIksBdWFoI11xqyhHP8lC9yCIYLdHP9OJPNUdfkBHP8iHXBTTzJtlaBh9caxoJke/qyLQ5WBBiXNoJ2iYaCldca0oRz/3Nqicj6TiRz/8Eu21LIinR0AMNRRQSiwUZXV9ca4oaB1dca99cbAoaCBomGgiSwF1YWgjXXGxKEc/0UPeEMHvI0c/4hWtMKU5YEc/7bZevCMGamVoGH1xsmgmR7+VgQYk3S8bc2gnaJhoKV1xsyhHP/koaX19My5HQBGyxtsgAzVHQDEQ+pvx5+pldX1xtChoHV1xtX1xtihoIGiYaCJLAXVhaCNdcbcoRz/StljtAR+7Rz/KZcqfoO+kRz+sVlelg1zBZWgYfXG4aCZHv8AAAAAAAABzaCdomGgpXXG5KEc//ccW2EiQU0c/8DE2aXE11Ec/8IjpeQof+GV1fXG6KGgdXXG7fXG8KGggaJhoIksBdWFoI11xvShHP7hZ0llTrlNHP+fSSPgWfJlHP7EomacwhgVlaBh9cb5oJke/nrhR64UeuHNoJ2iYaCldcb8oR0AAUZgMYHsaR0AMMsABd6JLRz/zTN7GYWq9ZXV9ccAoaB1dccF9ccIoaCBomGgiSwF1YWgjXXHDKEc/0Ms3lpo1zEc/4d3ILNT1Okc/25e03UHk/WVoGH1xxGgmR7+8KPXCj1wpc2gnaJhoKV1xxShHQACOK+S4fEVHQAsYss2KJktHQB+w5MGJ+eVldX1xxihoHV1xx31xyChoIGiYaCJLAXVhaCNdcckoRz/RqRAZqJ2ZRz/ttigKix5XRz/qQ0pCGH5RZWgYfXHKaCZHv7Gp++dsi0RzaCdomGgpXXHLKEdABCq5X1/htUdAF3cQaLno9kdALiMaBY/jDWV1fXHMKGgdXXHNfXHOKGggaJhoIksBdWFoI11xzyhHP+KJuUxnYblHP9GhMFFWic9HP+o0Cl4n04RlaBh9cdBoJke/lYEGJN0vG3NoJ2iYaCldcdEoR0AE5Xsi/OjlR0AGqcvTpqaUR0AuLnEkWy/iZXV9cdIoaB1dcdN9cdQoaCBomGgiSwF1YWgjXXHVKEc/2dqVgoiw6Uc/5/HCeo5mi0c/5aBfa6BiC2VoGH1x1mgmRz94k3S8an76c2gnaJhoKV1x1yhHQAdsd5YiQJRHQBLruZ7c3QJHQCjZWrwIaX1ldX1x2ChoHV1x2X1x2ihoIGiYaCJLAXVhaCNdcdsoRz/Rs317Ku6WRz/s0sbcct0XRz/UdLGi+sFSZWgYfXHcaCZHv7kWhysCDEpzaCdomGgpXXHdKEdACCExyra9lkdAEuW+oK8qlkdAF272TmZkQmV1fXHeKGgdXXHffXHgKGggaJhoIksBdWFoI11x4ShHP+DVcq3ybBlHP9KtcvUVFWZHP9Rij1bKkgplaBh9ceJoJke/jrhR64UeuHNoJ2iYaCldceMoR0AHdlEI8YykRz/+bzHhFa7IR0AXjPimfoUEZXV9ceQoaB1dceV9ceYoaCBomGgiSwF1YWgjXXHnKEc/57N7Mfp5Akc/u6R48Kyl5kc/5d5kCRP632VoGH1x6GgmRz+TdLxqfvnbc2gnaJhoKV1x6ShHQAmiI1XTJEFHP/xPBm1acLxHQCk+qBPNOXVldX1x6ihoHV1x631x7ChoIGiYaCJLAXVhaCNdce0oRz/YJk4H9cK6Rz/oN4zvPDhqRz/HCqSJNsrtZWgYfXHuaCZHv52yLQ5WBBlzaCdomGgpXXHvKEdACuG5ajWQB0dADiZ+lFZ7dkdACnVX/vUhwWV1fXHwKGgdXXHxfXHyKGggaJhoIksBdWFoI11x8yhHP+eqYmmslvdHP7fUWbP7b6JHP8cHxZwr8B5laBh9cfRoJke/hocrAgxJunNoJ2iYaCldcfUoR0ANxecedy4iRz/lz7xllqt+R0AK8PxtGlntZXV9cfYoaB1dcfd9cfgoaCBomGgiSwF1YWgjXXH5KEc/5VdVrK/L4Ec/6kdl2qVSikc/7iICKKQ5BWVoGH1x+mgmR7+uNT987ZFoc2gnaJhoKV1x+yhHQBB2uzhGq9ZHQBZBHgsO6FFHQDFUqO/UiwZldX1x/ChoHV1x/X1x/ihoIGiYaCJLAXVhaCNdcf8oRz/odqcGE8BRRz/YlHJIG/iERz/iNf2S6E+KZWgYfXIAAQAAaCZHP2iTdLxqfvpzaCdomGgpXXIBAQAAKEdAEDof6OI6MkdABl7izpxwBEdAJQVf/WXz+GV1fXICAQAAKGgdXXIDAQAAfXIEAQAAKGggaJhoIksBdWFoI11yBQEAAChHP+0QJuRFZGNHP9LbZcyNjMZHP+28xekt1n1laBh9cgYBAABoJke/wYk3S8an8HNoJ2iYaCldcgcBAAAoR0AQvT8jRYdKR0AIxMmVmwnmR0AxJhDmPpLLZXV9cggBAAAoaB1dcgkBAAB9cgoBAAAoaCBomGgiSwF1YWgjXXILAQAAKEc/6b1ISnGTQEc/5dhINc7D80c/6b+79+hZcGVoGH1yDAEAAGgmR7+x64UeuFHsc2gnaJhoKV1yDQEAAChHQBKc6HAlejxHQBKHvj6jOyZHQC2pSPDz7YpldX1yDgEAAChoHV1yDwEAAH1yEAEAAChoIGiYaCJLAXVhaCNdchEBAAAoRz/lMYCWEnuDRz/qAN4L5GTERz/cQKvMdxGEZWgYfXISAQAAaCZHv664UeuFHrhzaCdomGgpXXITAQAAKEdAEoED1v6PsUdAEgwNV6Uxk0dAIEVeSwGorGV1fXIUAQAAKGgdXXIVAQAAfXIWAQAAKGggaJhoIksBdWFoI11yFwEAAChHP+gos2f230VHP9m96JjbLblHP7IZxyZvq19laBh9chgBAABoJke/km6XjU/fO3NoJ2iYaCldchkBAAAoR0ASZWLP111YRz/98LKfO8W3Rz/1jZuLwxbnZXV9choBAAAoaB1dchsBAAB9chwBAAAoaCBomGgiSwF1YWgjXXIdAQAAKEc/7RA5DZK6rUc/0gj47TwuBEc/211uhZmybmVoGH1yHgEAAGgmR7+wo9cKPXCkc2gnaJhoKV1yHwEAAChHQBLXhEDIZDVHQAArXMTROSRHQB+0g9UUtqNldX1yIAEAAChoHV1yIQEAAH1yIgEAAChoIGiYaCJLAXVhaCNdciMBAAAoRz/p65HOyf0PRz/mKBC1hNyeRz/TcwhK0jZDZWgYfXIkAQAAaCZHv1BiTdLxqfxzaCdomGgpXXIlAQAAKEdAFQXwepg6mkdADUvBaYZRckdAFoBGyb/7qmV1ZXVYBgAAAHRhcmdldHImAQAARwAAAAAAAAAAdS5QSwcIBqs4wLwUAAC8FAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAaADwAbWItbXAtZ2FwLTAwMzE0MC9ieXRlb3JkZXJGQjgAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpsaXR0bGVQSwcIhT3jGQYAAAAGAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAYADQAbWItbXAtZ2FwLTAwMzE0MC92ZXJzaW9uRkIwAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjMKUEsHCNGeZ1UCAAAAAgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAJwApAG1iLW1wLWdhcC0wMDMxNDAvLmRhdGEvc2VyaWFsaXphdGlvbl9pZEZCJQBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMDYzNjQ1NzczNzk0NjQwMTA1MTMwMDAwMDAyNTA3MDAwNTY0Mjk0MFBLBwhOyMTyKAAAACgAAABQSwECAAAAAAgIAAAAAAAABqs4wLwUAAC8FAAAGQAAAAAAAAAAAAAAAAAAAAAAbWItbXAtZ2FwLTAwMzE0MC9kYXRhLnBrbFBLAQIAAAAACAgAAAAAAACFPeMZBgAAAAYAAAAaAAAAAAAAAAAAAAAAAAwVAABtYi1tcC1nYXAtMDAzMTQwL2J5dGVvcmRlclBLAQIAAAAACAgAAAAAAADRnmdVAgAAAAIAAAAYAAAAAAAAAAAAAAAAAJYVAABtYi1tcC1nYXAtMDAzMTQwL3ZlcnNpb25QSwECAAAAAAgIAAAAAAAATsjE8igAAAAoAAAAJwAAAAAAAAAAAAAAAAASFgAAbWItbXAtZ2FwLTAwMzE0MC8uZGF0YS9zZXJpYWxpemF0aW9uX2lkUEsGBiwAAAAAAAAAHgMtAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAACoBAAAAAAAAuBYAAAAAAABQSwYHAAAAAOIXAAAAAAAAAQAAAFBLBQYAAAAABAAEACoBAAC4FgAAAAA=" | ./matbench_mp_gap/mb-mp-gap-003140 | /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-034113 | /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-086975 | /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-007022 | /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-097143 | /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-003641 | /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-022939 | /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-092549 | /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-077402 | /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 |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA3MTg5NS9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQCPJzrYw/vtHAAAAAAAAAABHAAAAAAAAAABlXXENKEeAAAAAAAAAAEdAI8nOtjD++0cAAAAAAAAAAGVdcQ4oRwAAAAAAAAAARwAAAAAAAAAAR0Ajyc62MP77ZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAI8nOtjD++1gBAAAAYnESR0Ajyc62MP77WAEAAABjcRNHQCPJzrYw/vtYBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAVoAAAAAAAFgGAAAAdm9sdW1lcRdHQI5EptopCfh1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABFdXEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP9AAAAAAAABHgAAAAAAAAABHP+AAAAAAAABlaBh9cSVYBgAAAG1hZ21vbXEmR0AbGJN0vGp/c1gFAAAAbGFiZWxxJ1gCAAAARXVxKFgDAAAAeHl6cSldcSooR0ADyc62MP77RwAAAAAAAAAAR0ATyc62MP77ZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/6AAAAAAAAEeAAAAAAAAAAEc/4AAAAAAAAGVoGH1xL2gmR0AbGJN0vGp/c2gnWAIAAABFdXEwaCldcTEoR0AdrrYRSX54RwAAAAAAAAAAR0ATyc62MP77ZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/4AAAAAAAAEc/0AAAAAAAAEcAAAAAAAAAAGVoGH1xNmgmR0AbAAAAAAAAc2gnWAIAAABFdXE3aCldcTgoR0ATyc62MP77R0ADyc62MP77RwAAAAAAAAAAZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/4AAAAAAAAEc/6AAAAAAAAEcAAAAAAAAAAGVoGH1xPWgmR0AbAAAAAAAAc2gnWAIAAABFdXE+aCldcT8oR0ATyc62MP77R0AdrrYRSX54RwAAAAAAAAAAZXV9cUAoaB1dcUF9cUIoaCBoIWgiSwF1YWgjXXFDKEcAAAAAAAAAAEc/4AAAAAAAAEc/0AAAAAAAAGVoGH1xRGgmR0AbE3S8an76c2gnWAIAAABFdXFFaCldcUYoRwAAAAAAAAAAR0ATyc62MP77R0ADyc62MP77ZXV9cUcoaB1dcUh9cUkoaCBoIWgiSwF1YWgjXXFKKEcAAAAAAAAAAEc/4AAAAAAAAEc/6AAAAAAAAGVoGH1xS2gmR0AbE3S8an76c2gnWAIAAABFdXFMaCldcU0oRwAAAAAAAAAAR0ATyc62MP77R0AdrrYRSX54ZXV9cU4oaB1dcU99cVAoaCBYAgAAAFNucVFoIksBdWFoI11xUihHAAAAAAAAAABHgAAAAAAAAABHAAAAAAAAAABlaBh9cVNoJkcAAAAAAAAAAHNoJ1gCAAAAU25xVGgpXXFVKEcAAAAAAAAAAEcAAAAAAAAAAEcAAAAAAAAAAGV1fXFWKGgdXXFXfXFYKGggaFFoIksBdWFoI11xWShHP+AAAAAAAABHP+AAAAAAAABHP+AAAAAAAABlaBh9cVpoJke/UGJN0vGp/HNoJ1gCAAAAU25xW2gpXXFcKEdAE8nOtjD++0dAE8nOtjD++0dAE8nOtjD++2V1fXFdKGgdXXFefXFfKGggaFFoIksBdWFoI11xYChHAAAAAAAAAABHP8NroCGeCm1HP9NgqMy9XW5laBh9cWFoJke/kWhysCDEnHNoJ1gCAAAAU25xYmgpXXFjKEcAAAAAAAAAAEc/+ATBGmNkc0dAB/cxFNEMwGV1fXFkKGgdXXFlfXFmKGggaFFoIksBdWFoI11xZyhHAAAAAAAAAABHP+slF/eYfWVHP+ZPq5mhUUllaBh9cWhoJke/kWhysCDEnHNoJ1gCAAAAU25xaWgpXXFqKEcAAAAAAAAAAEdAIMk2kuSSbUdAG5gE4fl3lmV1fXFrKGgdXXFsfXFtKGggaFFoIksBdWFoI11xbihHAAAAAAAAAABHP+slF/eYfWVHP9NgqMy9XW5laBh9cW9oJke/kGJN0vGp/HNoJ1gCAAAAU25xcGgpXXFxKEcAAAAAAAAAAEdAIMk2kuSSbUdAB/cxFNEMwGV1fXFyKGgdXXFzfXF0KGggaFFoIksBdWFoI11xdShHAAAAAAAAAABHP8NroCGeCm1HP+ZPq5mhUUllaBh9cXZoJke/kGJN0vGp/HNoJ1gCAAAAU25xd2gpXXF4KEcAAAAAAAAAAEc/+ATBGmNkc0dAG5gE4fl3lmV1fXF5KGgdXXF6fXF7KGggaFFoIksBdWFoI11xfChHP9NgqMy9XW5HgAAAAAAAAABHP8NroCGeCm1laBh9cX1oJke/gm6XjU/fO3NoJ1gCAAAAU25xfmgpXXF/KEdAB/cxFNEMwEcAAAAAAAAAAEc/+ATBGmNkc2V1fXGAKGgdXXGBfXGCKGggaFFoIksBdWFoI11xgyhHP+Ta6AhngptHP+AAAAAAAABHP8k+rmaFRSRlaBh9cYRoJke/iJN0vGp++nNoJ1gCAAAAU25xhWgpXXGGKEdAGcr+/MnYF0dAE8nOtjD++0c//zjYryHibGV1fXGHKGgdXXGIfXGJKGggaFFoIksBdWFoI11xiihHP+ZPq5mhUUlHgAAAAAAAAABHP+slF/eYfWVlaBh9cYtoJke/gm6XjU/fO3NoJ1gCAAAAU25xjGgpXXGNKEdAG5gE4fl3lkcAAAAAAAAAAEdAIMk2kuSSbWV1fXGOKGgdXXGPfXGQKGggaFFoIksBdWFoI11xkShHP9ZKL+8w+spHP+AAAAAAAABHP+mwVGZerrdlaBh9cZJoJke/iJN0vGp++nNoJ1gCAAAAU25xk2gpXXGUKEdAC5E83zBLvUdAE8nOtjD++0dAH8VnQJmFW2V1fXGVKGgdXXGWfXGXKGggaFFoIksBdWFoI11xmChHP9NgqMy9XW5HgAAAAAAAAABHP+slF/eYfWVlaBh9cZloJke/hHrhR64Ue3NoJ1gCAAAAU25xmmgpXXGbKEdAB/cxFNEMwEcAAAAAAAAAAEdAIMk2kuSSbWV1fXGcKGgdXXGdfXGeKGggaFFoIksBdWFoI11xnyhHP9ZKL+8w+spHP+AAAAAAAABHP8k+rmaFRSRlaBh9caBoJke/iJN0vGp++nNoJ1gCAAAAU25xoWgpXXGiKEdAC5E83zBLvUdAE8nOtjD++0c//zjYryHibGV1fXGjKGgdXXGkfXGlKGggaFFoIksBdWFoI11xpihHP+ZPq5mhUUlHgAAAAAAAAABHP8NroCGeCm1laBh9cadoJke/hHrhR64Ue3NoJ1gCAAAAU25xqGgpXXGpKEdAG5gE4fl3lkcAAAAAAAAAAEc/+ATBGmNkc2V1fXGqKGgdXXGrfXGsKGggaFFoIksBdWFoI11xrShHP+Ta6AhngptHP+AAAAAAAABHP+mwVGZerrdlaBh9ca5oJke/iJN0vGp++nNoJ1gCAAAAU25xr2gpXXGwKEdAGcr+/MnYF0dAE8nOtjD++0dAH8VnQJmFW2V1fXGxKGgdXXGyfXGzKGggaFFoIksBdWFoI11xtChHP8NroCGeCm1HP9NgqMy9XW5HAAAAAAAAAABlaBh9cbVoJke/gGJN0vGp/HNoJ1gCAAAAU25xtmgpXXG3KEc/+ATBGmNkc0dAB/cxFNEMwEcAAAAAAAAAAGV1fXG4KGgdXXG5fXG6KGggaFFoIksBdWFoI11xuyhHP+AAAAAAAABHP+mwVGZerrdHP9ZKL+8w+splaBh9cbxoJke/hocrAgxJunNoJ1gCAAAAU25xvWgpXXG+KEdAE8nOtjD++0dAH8VnQJmFW0dAC5E83zBLvWV1fXG/KGgdXXHAfXHBKGggaFFoIksBdWFoI11xwihHP+slF/eYfWVHP+ZPq5mhUUlHgAAAAAAAAABlaBh9ccNoJke/gGJN0vGp/HNoJ1gCAAAAU25xxGgpXXHFKEdAIMk2kuSSbUdAG5gE4fl3lkcAAAAAAAAAAGV1fXHGKGgdXXHHfXHIKGggaFFoIksBdWFoI11xyShHP+AAAAAAAABHP8k+rmaFRSRHP+Ta6AhngptlaBh9ccpoJke/hocrAgxJunNoJ1gCAAAAU25xy2gpXXHMKEdAE8nOtjD++0c//zjYryHibEdAGcr+/MnYF2V1fXHNKGgdXXHOfXHPKGggaFFoIksBdWFoI11x0ChHP8NroCGeCm1HP+ZPq5mhUUlHAAAAAAAAAABlaBh9cdFoJke/eJN0vGp++nNoJ1gCAAAAU25x0mgpXXHTKEc/+ATBGmNkc0dAG5gE4fl3lkcAAAAAAAAAAGV1fXHUKGgdXXHVfXHWKGggaFFoIksBdWFoI11x1yhHP+AAAAAAAABHP8k+rmaFRSRHP9ZKL+8w+splaBh9cdhoJke/iJN0vGp++nNoJ1gCAAAAU25x2WgpXXHaKEdAE8nOtjD++0c//zjYryHibEdAC5E83zBLvWV1fXHbKGgdXXHcfXHdKGggaFFoIksBdWFoI11x3ihHP+slF/eYfWVHP9NgqMy9XW5HgAAAAAAAAABlaBh9cd9oJke/eJN0vGp++nNoJ1gCAAAAU25x4GgpXXHhKEdAIMk2kuSSbUdAB/cxFNEMwEcAAAAAAAAAAGV1fXHiKGgdXXHjfXHkKGggaFFoIksBdWFoI11x5ShHP+AAAAAAAABHP+mwVGZerrdHP+Ta6AhngptlaBh9ceZoJke/hocrAgxJunNoJ1gCAAAAU25x52gpXXHoKEdAE8nOtjD++0dAH8VnQJmFW0dAGcr+/MnYF2V1fXHpKGgdXXHqfXHrKGggaFFoIksBdWFoI11x7ChHP8k+rmaFRSRHP+Ta6AhngptHP+AAAAAAAABlaBh9ce1oJke/gm6XjU/fO3NoJ1gCAAAAU25x7mgpXXHvKEc//zjYryHibEdAGcr+/MnYF0dAE8nOtjD++2V1fXHwKGgdXXHxfXHyKGggaFFoIksBdWFoI11x8yhHP+mwVGZerrdHP9ZKL+8w+spHP+AAAAAAAABlaBh9cfRoJke/gm6XjU/fO3NoJ1gCAAAAU25x9WgpXXH2KEdAH8VnQJmFW0dAC5E83zBLvUdAE8nOtjD++2V1fXH3KGgdXXH4fXH5KGggaFFoIksBdWFoI11x+ihHP8k+rmaFRSRHP9ZKL+8w+spHP+AAAAAAAABlaBh9cftoJke/hHrhR64Ue3NoJ1gCAAAAU25x/GgpXXH9KEc//zjYryHibEdAC5E83zBLvUdAE8nOtjD++2V1fXH+KGgdXXH/fXIAAQAAKGggaFFoIksBdWFoI11yAQEAAChHP+mwVGZerrdHP+Ta6AhngptHP+AAAAAAAABlaBh9cgIBAABoJke/hHrhR64Ue3NoJ1gCAAAAU25yAwEAAGgpXXIEAQAAKEdAH8VnQJmFW0dAGcr+/MnYF0dAE8nOtjD++2V1fXIFAQAAKGgdXXIGAQAAfXIHAQAAKGggWAIAAABJcnIIAQAAaCJLAXVhaCNdcgkBAAAoRz/QAAAAAAAARz/QAAAAAAAARz/QAAAAAAAAZWgYfXIKAQAAaCZHv6iTdLxqfvpzaCdYAgAAAElycgsBAABoKV1yDAEAAChHQAPJzrYw/vtHQAPJzrYw/vtHQAPJzrYw/vtldX1yDQEAAChoHV1yDgEAAH1yDwEAAChoIGoIAQAAaCJLAXVhaCNdchABAAAoRz/oAAAAAAAARz/oAAAAAAAARz/oAAAAAAAAZWgYfXIRAQAAaCZHv6iTdLxqfvpzaCdYAgAAAElychIBAABoKV1yEwEAAChHQB2uthFJfnhHQB2uthFJfnhHQB2uthFJfnhldX1yFAEAAChoHV1yFQEAAH1yFgEAAChoIGoIAQAAaCJLAXVhaCNdchcBAAAoRz/oAAAAAAAARz/oAAAAAAAARz/QAAAAAAAAZWgYfXIYAQAAaCZHv6gQYk3S8apzaCdYAgAAAElychkBAABoKV1yGgEAAChHQB2uthFJfnhHQB2uthFJfnhHQAPJzrYw/vtldX1yGwEAAChoHV1yHAEAAH1yHQEAAChoIGoIAQAAaCJLAXVhaCNdch4BAAAoRz/oAAAAAAAARz/QAAAAAAAARz/oAAAAAAAAZWgYfXIfAQAAaCZHv6iTdLxqfvpzaCdYAgAAAElyciABAABoKV1yIQEAAChHQB2uthFJfnhHQAPJzrYw/vtHQB2uthFJfnhldX1yIgEAAChoHV1yIwEAAH1yJAEAAChoIGoIAQAAaCJLAXVhaCNdciUBAAAoRz/QAAAAAAAARz/QAAAAAAAARz/oAAAAAAAAZWgYfXImAQAAaCZHv6gQYk3S8apzaCdYAgAAAElycicBAABoKV1yKAEAAChHQAPJzrYw/vtHQAPJzrYw/vtHQB2uthFJfnhldX1yKQEAAChoHV1yKgEAAH1yKwEAAChoIGoIAQAAaCJLAXVhaCNdciwBAAAoRz/QAAAAAAAARz/oAAAAAAAARz/QAAAAAAAAZWgYfXItAQAAaCZHv6iTdLxqfvpzaCdYAgAAAElyci4BAABoKV1yLwEAAChHQAPJzrYw/vtHQB2uthFJfnhHQAPJzrYw/vtldX1yMAEAAChoHV1yMQEAAH1yMgEAAChoIGoIAQAAaCJLAXVhaCNdcjMBAAAoRz/QAAAAAAAARz/oAAAAAAAARz/oAAAAAAAAZWgYfXI0AQAAaCZHv6eNT987ZFpzaCdYAgAAAElycjUBAABoKV1yNgEAAChHQAPJzrYw/vtHQB2uthFJfnhHQB2uthFJfnhldX1yNwEAAChoHV1yOAEAAH1yOQEAAChoIGoIAQAAaCJLAXVhaCNdcjoBAAAoRz/oAAAAAAAARz/QAAAAAAAARz/QAAAAAAAAZWgYfXI7AQAAaCZHv6eNT987ZFpzaCdYAgAAAElycjwBAABoKV1yPQEAAChHQB2uthFJfnhHQAPJzrYw/vtHQAPJzrYw/vtldWV1WAYAAAB0YXJnZXRyPgEAAEcAAAAAAAAAAHUuUEsHCF7v+qbCFQAAwhUAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgA2AG1iLW1wLWdhcC0wNzE4OTUvYnl0ZW9yZGVyRkIyAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpabGl0dGxlUEsHCIU94xkGAAAABgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGAA0AG1iLW1wLWdhcC0wNzE4OTUvdmVyc2lvbkZCMABaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlozClBLBwjRnmdVAgAAAAIAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAACcAKQBtYi1tcC1nYXAtMDcxODk1Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRGQiUAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjA2MzY0NTc3Mzc5NDY0MDEwNTEzMDAwMDAwMjI1ODExNjU0NDU5NjNQSwcIsJEawSgAAAAoAAAAUEsBAgAAAAAICAAAAAAAAF7v+qbCFQAAwhUAABkAAAAAAAAAAAAAAAAAAAAAAG1iLW1wLWdhcC0wNzE4OTUvZGF0YS5wa2xQSwECAAAAAAgIAAAAAAAAhT3jGQYAAAAGAAAAGgAAAAAAAAAAAAAAAAASFgAAbWItbXAtZ2FwLTA3MTg5NS9ieXRlb3JkZXJQSwECAAAAAAgIAAAAAAAA0Z5nVQIAAAACAAAAGAAAAAAAAAAAAAAAAACWFgAAbWItbXAtZ2FwLTA3MTg5NS92ZXJzaW9uUEsBAgAAAAAICAAAAAAAALCRGsEoAAAAKAAAACcAAAAAAAAAAAAAAAAAEhcAAG1iLW1wLWdhcC0wNzE4OTUvLmRhdGEvc2VyaWFsaXphdGlvbl9pZFBLBgYsAAAAAAAAAB4DLQAAAAAAAAAAAAQAAAAAAAAABAAAAAAAAAAqAQAAAAAAALgXAAAAAAAAUEsGBwAAAADiGAAAAAAAAAEAAABQSwUGAAAAAAQABAAqAQAAuBcAAAAA" | ./matbench_mp_gap/mb-mp-gap-071895 | /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-013531 | /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-062974 | /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-038663 | /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-043671 | /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-080849 | /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-089844 | /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-073709 | /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-011693 | /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 |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA3NDYxNS9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHPlV5juIwjDpHwBrBAS3Sdi9HAAAAAAAAAABlXXENKEfAIxfQ6OYy+kdACsEA8sQtQUc//AOhvapwAWVdcQ4oRz9/IFlmzpYmRwAAAAAAAAAAR8AmRsu6UyKSZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAGsEBLdJ2L1gBAAAAYnESR0AkiA+nEMkPWAEAAABjcRNHQCZGzBFPA3RYBQAAAGFscGhhcRRHQFj22fXzEzdYBAAAAGJldGFxFUdAVn/////f31gFAAAAZ2FtbWFxFkdAW0DFXRWQ51gGAAAAdm9sdW1lcRdHQIY43lW3gUl1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAEAAABLcSFYBAAAAG9jY3VxIksBdWFYAwAAAGFiY3EjXXEkKEc/xMN+xVfjbEc/8AAAAAAAAEc/0AAAAAAAAGVoGH1xJVgGAAAAbWFnbW9tcSZHP1BiTdLxqfxzWAUAAABsYWJlbHEnaCFYAwAAAHh5enEoXXEpKEfAIxbX5f8eL0dAAhL3hmGjzEe/8In1tvvVI2V1fXEqKGgdXXErfXEsKGggaCFoIksBdWFoI11xLShHP+rPIE6qByVHAAAAAAAAAABHP+gAAAAAAABlaBh9cS5oJkc/UGJN0vGp/HNoJ2ghaChdcS8oRz93WEeMi/c2R8AWafx3oTF0R8AgtRjLvlnuZXV9cTAoaB1dcTF9cTIoaCBYAgAAAEZlcTNoIksBdWFoI11xNChHP+AAAAAAAABHP+AAAAAAAABHgAAAAAAAAABlaBh9cTVoJkdAEY9cKPXCj3NoJ1gCAAAARmVxNmgoXXE3KEfAExfQ6Dpmg0e/+sEBaOC/HUc/7AOhvapwAWV1fXE4KGgdXXE5fXE6KGggaDNoIksBdWFoI11xOyhHgAAAAAAAAABHP+AAAAAAAABHP+AAAAAAAABlaBh9cTxoJkdAEY9cKPXCj3NoJ1gCAAAARmVxPWgoXXE+KEfAExPs3blZJ0c/+sEA8sQtQUfAEsZXgp3UkmV1fXE/KGgdXXFAfXFBKGggaDNoIksBdWFoI11xQihHP9U3Q2MsH0NHP+ZhWifpqPxHP9GZR+Ub+QVlaBh9cUNoJkdAEX752yLQ5XNoJ1gCAAAARmVxRGgoXXFFKEfAGrLHbuN8QUc/vycHW1U84Ee//WmJ9LCmiGV1fXFGKGgdXXFHfXFIKGggaDNoIksBdWFoI11xSShHP+Q6R4ROAu1HP9M9S7AsrglHP8zNcDXIDfZlaBh9cUpoJkdAEX752yLQ5XNoJ1gCAAAARmVxS2goXXFMKEfABvHsrOHvTkfACcfI0nD4jUe//64DNvFzvmV1fXFNKGgdXXFOfXFPKGggaDNoIksBdWFoI11xUChHP+VkXk5p8F9HP9M9S7AsrglHP+czXA1yA35laBh9cVFoJkdAEX752yLQ5XNoJ1gCAAAARmVxUmgoXXFTKEfABuoklm86PkfAC7o5o7tpBUfAHjJMiA9/g2V1fXFUKGgdXXFVfXFWKGggaDNoIksBdWFoI11xVyhHP9eLcPdj+iVHP+ZhWifpqPxHP+jMo/KN/IJlaBh9cVhoJkdAEX752yLQ5XNoJ1gCAAAARmVxWWgoXXFaKEfAGq7jY6ohuke/vycSzfjSAEfAHaEuN39MM2V1fXFbKGgdXXFcfXFdKGggWAIAAABBc3FeaCJLAXVhaCNdcV8oRz/io6kiIr+eRz/q63fNlvcoRz+qfhu5xN0/ZWgYfXFgaCZHP5iTdLxqfvpzaCdYAgAAAEFzcWFoKF1xYihHwCAPpJRa4rxHv/FSOCLXyNxHP+yw3lghDPNldX1xYyhoHV1xZH1xZShoIGheaCJLAXVhaCNdcWYoRz/nuDFUi8h2Rz/EUiDJpCNgRz/csDyIx2RYZWgYfXFnaCZHP5iTdLxqfvpzaCdYAgAAAEFzcWhoKF1xaShHv/gx0nCLzrlHwBG1Dot4KIRHwBLb/xXsqDBldX1xaihoHV1xa31xbChoIGheaCJLAXVhaCNdcW0oRz/auK27uoDFRz/EUiDJpCNgRz/uWB5EY7IsZWgYfXFuaCZHP5iTdLxqfvpzaCdYAgAAAEFzcW9oKF1xcChHv/giQkWVT6pHwAIX5Vd02rBHwCSRZWgf5WJldX1xcShoHV1xcn1xcyhoIGheaCJLAXVhaCNdcXQoRz/Qj51W6G8VRz/q63fNlvcoRz/hp+G7nE3UZWgYfXF1aCZHP5iTdLxqfvpzaCdYAgAAAEFzcXZoKF1xdyhHwCANso78EtlHP/FSN1wfI9ZHwBKwr+9PAPRldX1xeChoHV1xeX1xeihoIGheaCJLAXVhaCNdcXsoRz/G7BeAT0W4Rz/ZPpjXfNQRRz/Na4gOVtrYZWgYfXF8aCZHP5eNT987ZFpzaCdYAgAAAEFzcX1oKF1xfihHwA4cVVsny85HP78QqaO3ZTBHv/3pNogl/1ZldX1xfyhoHV1xgH1xgShoIGheaCJLAXVhaCNdcYIoRz/pG7lu9wOtRz/jYLOUQZX3Rz/RSjv41JKUZWgYfXGDaCZHP5eNT987ZFpzaCdYAgAAAEFzcYRoKF1xhShHwBcdkxfAhQZHwAnIe+QyMDhHv/8uVqN8GvFldX1xhihoHV1xh31xiChoIGheaCJLAXVhaCNdcYkoRz/qRPof7C6SRz/jYLOUQZX3Rz/opR38aklKZWgYfXGKaCZHP5eNT987ZFpzaCdYAgAAAEFzcYtoKF1xjChHwBcZrwyHM3pHwAu5hrX+ekZHwB4SYWMyKU5ldX1xjShoHV1xjn1xjyhoIGheaCJLAXVhaCNdcZAoRz/LkRpEI/FMRz/ZPpjXfNQRRz/nWuIDlba2ZWgYfXGRaCZHP5eNT987ZFpzaCdYAgAAAEFzcZJoKF1xkyhHwA4UjUS1KLRHv78QsJXR3MBHwB3BGVxcomhldX1xlChoHV1xlX1xlihoIFgBAAAASHGXaCJLAXVhaCNdcZgoRz/pd3Q1hvV9Rz+yikGM6DBWRz+4t8yKh63fZWgYfXGZaCZHP1BiTdLxqfxzaCdol2goXXGaKEe/5hnD3XX9C0fAFFKlVeu890e/7ltTF2l3CmV1fXGbKGgdXXGcfXGdKGggaJdoIksBdWFoI11xnihHP+cmLAPp73JHP+2ut85i+fVHP9nSDN1eFIhlaBh9cZ9oJkc/UGJN0vGp/HNoJ2iXaChdcaAoR8AhtEKkc2VOR7/7yJNhCwGOR8AG9PHP9q9gZXV9caEoaB1dcaJ9caMoaCBol2giSwF1YWgjXXGkKEc/yiIvKeQqDEc/7a63zmL59Uc/7OkGbq8KRGVoGH1xpWgmRz9QYk3S8an8c2gnaJdoKF1xpihHwCGyUJ82LN9HP/vIkoXtdaNHwCDgolEnPSFldX1xpyhoHV1xqH1xqShoIGiXaCJLAXVhaCNdcaooRz/Rs6f4LCEbRz+yikGM6DBWRz/jFvmRUPW8ZWgYfXGraCZHP1BiTdLxqfxzaCdol2goXXGsKEe/5fqjiaJ2I0e/+blvcLZ8q0fAGhI2HUBRdGV1fXGtKGgdXXGufXGvKGggWAEAAABPcbBoIksBdWFoI11xsShHP9pfc84t9d1HP+rPGDu2DppHP8U2mjBtWyJlaBh9cbJoJkc/t41P3ztkWnNoJ2iwaChdcbMoR8Af/IpeNDybRz+nVbDVmV3AR7/YQsOGauEYZXV9cbQoaB1dcbV9cbYoaCBosGgiSwF1YWgjXXG3KEc/4mChq2DsVEc/xMOfESfFl0c/1WSy58lSb2VoGH1xuGgmRz+3jU/fO2Rac2gnaLBoKF1xuShHv/i8zZxhlWJHwApjqkKWwOJHwAuDbiUDsQBldX1xuihoHV1xu31xvChoIGiwaCJLAXVhaCNdcb0oRz/i0EYY6QUSRz/Ew58RJ8WXRz/qsllz5Kk3ZWgYfXG+aCZHP7eNT987ZFpzaCdosGgoXXG/KEe/+K09b5tzF0fACx5YLDcklEfAIgRBZmp9iGV1fXHAKGgdXXHBfXHCKGggaLBoIksBdWFoI11xwyhHP9s+vKk+J1hHP+rPGDu2DppHP+VNpowbVsllaBh9ccRoJkc/t41P3ztkWnNoJ2iwaChdccUoR8Af+KZTArQIR7+nVcmSf47AR8AXyvfyudCkZXV9ccYoaB1dccd9ccgoaCBosGgiSwF1YWgjXXHJKEc/5Wkcvv2BS0c/5mtR6FUTg0c/ocJ23YH7w2VoGH1xymgmRz+3Cj1wo9cKc2gnaLBoKF1xyyhHwBrAiyjfrSlHwAEOqbgjZRtHP+rj6epCv5dldX1xzChoHV1xzX1xzihoIGiwaCJLAXVhaCNdcc8oRz/u/crWqG3IRz/TKVwvVdj7Rz/dx7EkT8CIZWgYfXHQaCZHP7cKPXCj1wpzaCdosGgoXXHRKEfABtZlNxprEEfAFefVZyIxC0fAEqJgiDDehWV1fXHSKGgdXXHTfXHUKGggaLBoIksBdWFoI11x1ShHP9UtxoIE/WtHP9MpXC9V2PtHP+7j2JIn4ERlaBh9cdZoJkc/two9cKPXCnNoJ2iwaChdcdcoR8AGzp0idthwR7/zZK9herQGR8AkdJYhQgCMZXV9cdgoaB1dcdl9cdooaCBosGgiSwF1YWgjXXHbKEc/oCNSlXkjgkc/5mtR6FUTg0c/4RwnbdgfvGVoGH1x3GgmRz+3Cj1wo9cKc2gnaLBoKF1x3ShHwBq8px6N49lHQAEOqWVjovlHwBLqTn0Kyp9ldX1x3ihoHV1x331x4ChoIGiwaCJLAXVhaCNdceEoRz/eFQ/clu9FRz/rY+itUwnoRz/taC4sjih3ZWgYfXHiaCZHP7XCj1wo9cNzaCdosGgoXXHjKEfAIFQhcbS2W0e/0gFktWXAoEfAIXld7vKepGV1fXHkKGgdXXHlfXHmKGggaLBoIksBdWFoI11x5yhHP+Omn0D4bbpHP8JwXUqz2F9HP+KX0dNx14llaBh9cehoJkc/tcKPXCj1w3NoJ2iwaChdcekoR7/17sstn6x6R8ANAS2adJjsR8AY4L7hqY5vZXV9ceooaB1dcet9cewoaCBosGgiSwF1YWgjXXHtKEc/4PV4EbSIXUc/wnBdSrPYX0c/tL6Om468RmVoGH1x7mgmRz+1wo9cKPXDc2gnaLBoKF1x7yhHv/X+W1rGsqtHwAiA1NI0BwhHv+TPmTqzXuBldX1x8ChoHV1x8X1x8ihoIGiwaCJLAXVhaCNdcfMoRz/YssF+DySLRz/rY+itUwnoRz/a0FxZHFDvZWgYfXH0aCZHP7XCj1wo9cNzaCdosGgoXXH1KEfAIFYTd1mXIUc/0gFhjJ7OgEfACVfgRyQ1bGV1fXH2KGgdXXH3fXH4KGggaLBoIksBdWFoI11x+ShHP+pMvNHX+XxHP+9qfVcYwJZHP7cIrKHfDWxlaBh9cfpoJkc/jrhR64UeuHNoJ2iwaChdcfsoR8AivkJvU84HR8ABtfFhsG3lRz/m76RHv8RcZXV9cfwoaB1dcf19cf4oaCBosGgiSwF1YWgjXXH/KEc/6uI/gB2cnkc/krBVHOftOkc/2j3U14g8pWVoGH1yAAEAAGgmRz+OuFHrhR64c2gnaLBoKF1yAQEAAChHv8XnHLecSQNHwBY7eS/LS7pHwBIj19Pgfx5ldX1yAgEAAChoHV1yAwEAAH1yBAEAAChoIGiwaCJLAXVhaCNdcgUBAAAoRz/GzQy4oBoRRz+SsFUc5+06Rz/tHuprxB5SZWgYfXIGAQAAaCZHP464UeuFHrhzaCdosGgoXXIHAQAAKEe/xWqbbm+qVke/8hYgDmCickfAJDVRxxnQ12V1fXIIAQAAKGgdXXIJAQAAfXIKAQAAKGggaLBoIksBdWFoI11yCwEAAChHP8R3Af+JjYhHP+9qfVcYwJZHP+LhFZQ74a5laBh9cgwBAABoJkc/jrhR64UeuHNoJ2iwaChdcg0BAAAoR8AivFBqLxuNR0ABtfD2tdhWR8ATaNcxWyoHZXV9cg4BAAAoaB1dcg8BAAB9chABAAAoaCBosGgiSwF1YWgjXXIRAQAAKEc/1N+2PkABo0c/0quOxFOBh0c/z8u3eP2XxmVoGH1yEgEAAGgmRz+0/fO2RaHLc2gnaLBoKF1yEwEAAChHwAZDpju4PrpHv/NLVPMCP9VHwAIMV1o/AZFldX1yFAEAAChoHV1yFQEAAH1yFgEAAChoIGiwaCJLAXVhaCNdchcBAAAoRz+hoTvPZADbRz/mqjid1j88Rz/QGiRDgTQdZWgYfXIYAQAAaCZHP7T987ZFoctzaCdosGgoXXIZAQAAKEfAGwnqqEeHJkdAARtWm7eyLEe/+P7edyQXJmV1fXIaAQAAKGgdXXIbAQAAfXIcAQAAKGggaLBoIksBdWFoI11yHQEAAChHP+WQJODf/y9HP+aqOJ3WPzxHP+gNEiHAmg9laBh9ch4BAABoJkc/tP3ztkWhy3NoJ2iwaChdch8BAAAoR8AbBgacPvoDR8ABG1bvX580R8AchoNYHChcZXV9ciABAAAoaB1dciEBAAB9ciIBAAAoaCBosGgiSwF1YWgjXXIjAQAAKEc/7uXsQwm/8kc/0quOxFOBh0c/5/Lt3j9l8WVoGH1yJAEAAGgmRz+0/fO2RaHLc2gnaLBoKF1yJQEAAChHwAY73iOnJHNHwBXuLAJMOKVHwB9M92dyo1lldX1yJgEAAChoHV1yJwEAAH1yKAEAAChoIGiwaCJLAXVhaCNdcikBAAAoRz/tnBKq0nwORz/SrcmR2dyrRz/HspPmfEtVZWgYfXIqAQAAaCZHP7U/fO2RaHNzaCdosGgoXXIrAQAAKEfABkdLcReTXkfAFNnuc6y6VEe/+NFO19qtVmV1fXIsAQAAKGgdXXItAQAAfXIuAQAAKGggaLBoIksBdWFoI11yLwEAAChHP+RFLedD8XFHP+apGzcTEatHP9QmtgzB2lVlaBh9cjABAABoJkc/tT987ZFoc3NoJ2iwaChdcjEBAAAoR8AbCBgL/C2mR7/95be2LVRSR8ACIx8p47Z3ZXV9cjIBAAAoaB1dcjMBAAB9cjQBAAAoaCBosGgiSwF1YWgjXXI1AQAAKEc/sx9qqWwfjkc/5qkbNxMRq0c/6hNbBmDtK2VoGH1yNgEAAGgmRz+1P3ztkWhzc2gnaLBoKF1yNwEAAChHwBsENAGPT7NHP/3ltvzxaxZHwB9YW09E/c5ldX1yOAEAAChoHV1yOQEAAH1yOgEAAChoIGiwaCJLAXVhaCNdcjsBAAAoRz/XdaQxeB0dRz/SrcmR2dyrRz/l7KT5nxLVZWgYfXI8AQAAaCZHP7U/fO2RaHNzaCdosGgoXXI9AQAAKEfABj+DXD3Xd0e/95xLG5Qp4kfAHHsfcEnN52V1fXI+AQAAKGgdXXI/AQAAfXJAAQAAKGggaLBoIksBdWFoI11yQQEAAChHP9JhWCnip4BHP+Cr7ZRCl6pHP8GRRXeuYlRlaBh9ckIBAABoJkc/wQYk3S8aoHNoJ2iwaChdckMBAAAoR8AT4+mLFIDrR7/G2080qY54R7/juk0AuifKZXV9ckQBAAAoaB1dckUBAAB9ckYBAAAoaCBosGgiSwF1YWgjXXJHAQAAKEc/6IS+hg0fzkc/3qgk13rQrEc/1zddRCjO1mVoGH1ySAEAAGgmRz/BBiTdLxqgc2gnaLBoKF1ySQEAAChHwBJH1DohGY9HwAwutiecnohHwAmdM1WigzBldX1ySgEAAChoHV1ySwEAAH1yTAEAAChoIGiwaCJLAXVhaCNdck0BAAAoRz/mz1PrDqxARz/eqCTXetCsRz/rm66iFGdrZWgYfXJOAQAAaCZHP8EGJN0vGqBzaCdosGgoXXJPAQAAKEfAEkPwLwaYdUfACVNMdZYmNkfAIYqyspIyFmV1fXJQAQAAKGgdXXJRAQAAfXJSAQAAKGggaLBoIksBdWFoI11yUwEAAChHP83tBefLgMdHP+Cr7ZRCl6pHP+RkUV3rmJVlaBh9clQBAABoJkc/wQYk3S8aoHNoJ2iwaChdclUBAAAoR8AT4AV/+f/SRz/G20vrvfa4R8AYvhVaameMZXV9clYBAAAoaB1dclcBAAB9clgBAAAoaCBosGgiSwF1YWgjXXJZAQAAKEc/yj87fzIPR0c/4M5Ei/YX9Uc/1xvXTAG2OWVoGH1yWgEAAGgmRz/BBiTdLxqgc2gnaLBoKF1yWwEAAChHwBQLJgvzri5HP9ig5z4bQpBHwAjRVfOhobhldX1yXAEAAChoHV1yXQEAAH1yXgEAAChoIGiwaCJLAXVhaCNdcl8BAAAoRz/lwYpT1mvdRz/eY3boE9AXRz/ByFFn/JOPZWgYfXJgAQAAaCZHP8EGJN0vGqBzaCdosGgoXXJhAQAAKEfAEiCXuXvOrEfAB6zkQxW48Ee/5unCiL2tsWV1fXJiAQAAKGgdXXJjAQAAfXJkAQAAKGggaLBoIksBdWFoI11yZQEAAChHP+lwMSAzfC5HP95jdugT0BdHP+RyFFn/JORlaBh9cmYBAABoJkc/wQYk3S8aoHNoJ2iwaChdcmcBAAAoR8ASHLOuJ2s0R8AN1R5QpCduR8AZJAQLathJZXV9cmgBAAAoaB1dcmkBAAB9cmoBAAAoaCBosGgiSwF1YWgjXXJrAQAAKEc/1HzrWFMoRkc/4M5Ei/YX9Uc/643rpgDbHGVoGH1ybAEAAGgmRz/BBiTdLxqgc2gnaLBoKF1ybQEAAChHwBQHQgCfSrZHv9ig6S5YMWBHwCFXu1oR+bdldWV1WAYAAAB0YXJnZXRybgEAAEdAA/ztkWhysHUuUEsHCKPFxQneGgAA3hoAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgAaAG1iLW1wLWdhcC0wNzQ2MTUvYnl0ZW9yZGVyRkIWAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpsaXR0bGVQSwcIhT3jGQYAAAAGAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAYADQAbWItbXAtZ2FwLTA3NDYxNS92ZXJzaW9uRkIwAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjMKUEsHCNGeZ1UCAAAAAgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAJwApAG1iLW1wLWdhcC0wNzQ2MTUvLmRhdGEvc2VyaWFsaXphdGlvbl9pZEZCJQBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMDYzNjQ1NzczNzk0NjQwMTA1MTMwMDAwMDAxMTc4MjkyMjQ1MzU4OVBLBwjNJM+SKAAAACgAAABQSwECAAAAAAgIAAAAAAAAo8XFCd4aAADeGgAAGQAAAAAAAAAAAAAAAAAAAAAAbWItbXAtZ2FwLTA3NDYxNS9kYXRhLnBrbFBLAQIAAAAACAgAAAAAAACFPeMZBgAAAAYAAAAaAAAAAAAAAAAAAAAAAC4bAABtYi1tcC1nYXAtMDc0NjE1L2J5dGVvcmRlclBLAQIAAAAACAgAAAAAAADRnmdVAgAAAAIAAAAYAAAAAAAAAAAAAAAAAJYbAABtYi1tcC1nYXAtMDc0NjE1L3ZlcnNpb25QSwECAAAAAAgIAAAAAAAAzSTPkigAAAAoAAAAJwAAAAAAAAAAAAAAAAASHAAAbWItbXAtZ2FwLTA3NDYxNS8uZGF0YS9zZXJpYWxpemF0aW9uX2lkUEsGBiwAAAAAAAAAHgMtAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAACoBAAAAAAAAuBwAAAAAAABQSwYHAAAAAOIdAAAAAAAAAQAAAFBLBQYAAAAABAAEACoBAAC4HAAAAAA=" | ./matbench_mp_gap/mb-mp-gap-074615 | /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-005683 | /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-065701 | /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 |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTEwMDAxMy9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQBUqtwcSw9JHAAAAAAAAAABHAAAAAAAAAABlXXENKEfABSq3BxLD0kdAIEgu/UONHke/38r/Qj/rfWVdcQ4oRwAAAAAAAAAAR795EPsk+d+AR0Amrx7tq+p/ZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAFSq3BxLD0lgBAAAAYnESR0AhJiu27+qqWAEAAABjcRNHQCavHyURsRZYBQAAAGFscGhhcRRHQFdWcYnlW/ZYBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAWv5HrEp85VgGAAAAdm9sdW1lcRdHQH6JiNZ1MH11WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAEAAABPcSFYBAAAAG9jY3VxIksBdWFYAwAAAGFiY3EjXXEkKEc/xTHbA/In+0c/29g1tpsyIEc/1mTOwW6fxmVoGH1xJVgGAAAAbWFnbW9tcSZHAAAAAAAAAABzWAUAAABsYWJlbHEnaCFYAwAAAHh5enEoXXEpKEe/0ZgvlGGRYEdADFFxxb/0hEdADgUUuXy6bmV1fXEqKGgdXXErfXEsKGggaCFoIksBdWFoI11xLShHP8r3QJPD7KlHP87ZvSAxeMlHP5IXkhfwC8FlaBh9cS5oJkcAAAAAAAAAAHNoJ2ghaChdcS8oRz/eiN/T6tz4Rz//ZHoteAYaRz+0pjeHfbuiZXV9cTAoaB1dcTF9cTIoaCBoIWgiSwF1YWgjXXEzKEc/7wdg3OSc+Ec/6EmQt/Ohzkc/3t6G3oD/RGVoGH1xNGgmRwAAAAAAAAAAc2gnaCFoKF1xNShHQAj70wGQH3JHQBi0HU/EeXlHQBRf1htp9NlldX1xNihoHV1xN31xOChoIGghaCJLAXVhaCNdcTkoRz/pQi/bDwTWRz/oSZC386HORz/vb0NvQH+iZWgYfXE6aCZHAAAAAAAAAABzaCdoIWgoXXE7KEdAAVmbDJVoNEdAGLD7MF/aPkdAJYd6hIrvrGV1fXE8KGgdXXE9fXE+KGggaCFoIksBdWFoI11xPyhHP58T5GNsYPxHP87ZvSAxeMlHP+CQvJC/gF5laBh9cUBoJkcAAAAAAAAAAHNoJ2ghaChdcUEoR7/eiN/T6tz6Rz//V/Gv5YkrR0AXAbfLyeFuZXV9cUIoaB1dcUN9cUQoaCBoIWgiSwF1YWgjXXFFKEc/0T9INKIeIkc/29g1tpsyIEc/6zJnYLdP42VoGH1xRmgmRwAAAAAAAAAAc2gnaCFoKF1xRyhHP9GYL5RhkVxHQAxLLYb2tgxHQCLY1KU1I9tldX1xSChoHV1xSX1xSihoIGghaCJLAXVhaCNdcUsoRz/imRGe49tcRz+zQ6LCDFR3Rz/DjEu9w5p0ZWgYfXFMaCZHAAAAAAAAAABzaCdoIWgoXXFNKEdABwLKdT4CQkc/45LjtHm4c0c/+x2+mHSwxmV1fXFOKGgdXXFPfXFQKGggaCFoIksBdWFoI11xUShHP+AwnUaiUM1HP+2Xi6e+dXFHP9Y52iEeMsZlaBh9cVJoJkcAAAAAAAAAAHNoJ2ghaChdcVMoRz/NgTbis+cAR0AeGt9kk0PxR0AL1f6m1X8sZXV9cVQoaB1dcVV9cVYoaCBoIWgiSwF1YWgjXXFXKEc/2s3cwjhJSEc/7ZeLp751cUc/6xztEI8ZY2VoGH1xWGgmRwAAAAAAAAAAc2gnaCFoKF1xWShHv82BNuKz5wBHQB4XvUUupLVHQCJNDyCLVQtldX1xWihoHV1xW31xXChoIGghaCJLAXVhaCNdcV0oRz/fnsVyu15lRz+zQ6LCDFR3Rz/k4xLvcOadZWgYfXFeaCZHAAAAAAAAAABzaCdoIWgoXXFfKEdAA1KjmOeFYkc/43nSuVS+k0dAHXaOk8kWsWV1fXFgKGgdXXFhfXFiKGggaCFoIksBdWFoI11xYyhHP+6qUAqvW3hHP8DcXLe77oNHP9OZk0Q/9eRlaBh9cWRoJkcAAAAAAAAAAHNoJ2ghaChdcWUoR0AS48+ki/qWRz/xIMCsj9uAR0ALQ6yg2nRoZXV9cWYoaB1dcWd9cWgoaCBoIWgiSwF1YWgjXXFpKEc/6nM412H8Hkc/68jo0hEEX0c/yMzZd4AUN2VoGH1xamgmRwAAAAAAAAAAc2gnaCFoKF1xayhHQACc6Drq+UdHQBxFC6/+hCBHP/xCYqRqxktldX1xbChoHV1xbX1xbihoIGghaCJLAXVhaCNdcW8oRz+lWv9VCkiDRz/ryOjSEQRfRz/mMzZd4AUOZWgYfXFwaCZHAAAAAAAAAABzaCdoIWgoXXFxKEfAAJzoQgUxWUdAHEHpkJnk5EdAHb+3lsacEmV1fXFyKGgdXXFzfXF0KGggaCFoIksBdWFoI11xdShHP8YzHKJ4D4ZHP8DcXLe77oNHP+nMyaIf+vJlaBh9cXZoJkcAAAAAAAAAAHNoJ2ghaChdcXcoRz/iNzswnyosRz/xFDgu/V6QR0AiKHqfDJJaZXV9cXgoaB1dcXl9cXooaCBoIWgiSwF1YWgjXXF7KEc/52Bb5a7w70c/4hPlJLJm8Ec/wzZifSLAdGVoGH1xfGgmRwAAAAAAAAAAc2gnaCFoKF1xfShHQAL3sRSGkaZHQBJkgvhCgL5HP/a/knMmOkBldX1xfihoHV1xf31xgChoIGghaCJLAXVhaCNdcYEoRz/XTcoizmEiRz/mS033A9f8Rz+7VJawMDP6ZWgYfXGCaCZHAAAAAAAAAABzaCdoIWgoXXGDKEc/tV9QxLQgEEdAFq83CoxPu0c/66xA2iZwMmV1fXGEKGgdXXGFfXGGKGggaCFoIksBdWFoI11xhyhHP9VI0cs5TtZHP+ZLTfcD1/xHP+NqktYGBn9laBh9cYhoJkcAAAAAAAAAAHNoJ2ghaChdcYkoR7+1X1DEtCAQR0AWrBTrJ7B/R0AaJKcI8LiFZXV9cYooaB1dcYt9cYwoaCBoIWgiSwF1YWgjXXGNKEc/5Fka7pjPb0c/02lkEfhQCEc/7JVtKfn5gWVoGH1xjmgmRwAAAAAAAAAAc2gnaCFoKF1xjyhHQAR/vIDtItJHQAO1xWJjGBNHQCP2AuX3hCBldX1xkChoHV1xkX1xkihoIGghaCJLAXVhaCNdcZMoRz/lW5caY1iVRz/TaWQR+FAIRz/ZKtpT8/MBZWgYfXGUaCZHAAAAAAAAAABzaCdoIWgoXXGVKEdABdWxjThk0kdAA7wJoSxWi0dAETzm3kMdwGV1fXGWKGgdXXGXfXGYKGggaCFoIksBdWFoI11xmShHP+qziT8DdgFHP+IT5SSyZvBHP+TNmJ9IsB1laBh9cZpoJkcAAAAAAAAAAHNoJ2ghaChdcZsoR0AHXbz5nvX+R0ASYWDY3eGCR0AcXwOKdXkPZXV9cZwoaB1dcZ19cZ4oaCBYAgAAAE5hcZ9oIksBdWFoI11xoChHP8xm4SAV9QpHP+1UimYf74pHP6NmLjJCcmtlaBh9caFoJkcAAAAAAAAAAHNoJ1gCAAAATmFxomgoXXGjKEe/9APV3hUy3UdAHdigL8BM90e/mjIxTZvDUGV1fXGkKGgdXXGlfXGmKGggaJ9oIksBdWFoI11xpyhHP+Y60iN41gBHP+1UimYf74pHP+E2YuMkJydlaBh9cahoJkcAAAAAAAAAAHNoJ1gCAAAATmFxqWgoXXGqKEc/9APV7EmjAkdAHdV+EFutu0dAFpTsvF5OvGV1fXGrKGgdXXGsfXGtKGggaJ9oIksBdWFoI11xrihHP+jmR7f6gr5HP7VbrM8Ag7NHP+7JnRzb2NllaBh9ca9oJkcAAAAAAAAAAHNoJ1gCAAAATmFxsGgoXXGxKEdADyyh9h1dQUc/5YvMX+x2bUdAJb3gDEC5BWV1fXGyKGgdXXGzfXG0KGggaJ9oIksBdWFoI11xtShHP9uWpjSyjzRHP9SD7H5t7xxHP8pnsX+UX8llaBh9cbZoJkcAAAAAAAAAAHNoJ1gCAAAATmFxt2goXXG4KEc/9u1rgFyDikdABN3khfNpYUdAAXGrh2qPnWV1fXG5KGgdXXG6fXG7KGggaJ9oIksBdWFoI11xvChHP7xK5tkSgGBHP+W+CcDJCHJHP9LMJ0A10BxlaBh9cb1oJkcAAAAAAAAAAHNoJ1gCAAAATmFxvmgoXXG/KEe/82gCjckEGkdAFh5JmCjGUEdAB/Mya6VH8mV1fXHAKGgdXXHBfXHCKGggaJ9oIksBdWFoI11xwyhHP+I0rOWmuGZHP+W+CcDJCHJHP+lmE6Aa6A5laBh9ccRoJkcAAAAAAAAAAHNoJ1gCAAAATmFxxWgoXXHGKEc/82gCjckEGkdAFhsneMQnFEdAIVRcEb9HPGV1fXHHKGgdXXHIfXHJKGggaJ9oIksBdWFoI11xyihHP+AAAAAAAABHP+AAAAAAAABHP+AAAAAAAABlaBh9cctoJkcAAAAAAAAAAHNoJ1gCAAAATmFxzGgoXXHNKEc/9Sq3BxLD0kdAEEUM3d7t4kdAFbDG85nrI2V1fXHOKGgdXXHPfXHQKGggaJ9oIksBdWFoI11x0ShHAAAAAAAAAABHP+AAAAAAAABHAAAAAAAAAABlaBh9cdJoJkcAAAAAAAAAAHNoJ1gCAAAATmFx02goXXHUKEe/9Sq3BxLD0kdAEEgu/UONHke/z8r/Qj/rfWV1fXHVKGgdXXHWfXHXKGggaJ9oIksBdWFoI11x2ChHP+x2oyTdr/RHP9SD7H5t7xxHP+aZ7F/lF/JlaBh9cdloJkcAAAAAAAAAAHNoJ1gCAAAATmFx2mgoXXHbKEdADt64TfdF3kdABNegRyoq6kdAH2f0sWEyTmV1fXHcKGgdXXHdfXHeKGggaJ9oIksBdWFoI11x3yhHP9OKW7kOVAFHP7VbrM8Ag7NHP92TOjm3sbNlaBh9ceBoJkcAAAAAAAAAAHNoJ1gCAAAATmFx4WgoXXHiKEc/9lGYIdvko0c/5aTdWxFwTUdAFMyhKtWHi2V1fXHjKGgdXXHkfXHlKGggWAEAAABQceZoIksBdWFoI11x5yhHP9X8F2gmhPpHP9LKAy5dtmpHP+zMxXBiEsVlaBh9cehoJkcAAAAAAAAAAHNoJ2jmaChdcekoRz/wp+lBI/ycR0ADE3/JjCsBR0AkH7faO7IsZXV9ceooaB1dcet9cewoaCBo5mgiSwF1YWgjXXHtKEc/qZChzkZ0hEc/5pr+aNEky0c/4zM6j53tO2VoGH1x7mgmRwAAAAAAAAAAc2gnaOZoKF1x7yhHv/mthM0BiwhHQBb9N7eTJwhHQBnRPSBoXG5ldX1x8ChoHV1x8X1x8ihoIGjmaCJLAXVhaCNdcfMoRz/lAfRL7L2DRz/mmv5o0STLRz+5mdR872nbZWgYfXH0aCZHAAAAAAAAAABzaCdo5mgoXXH1KEc/+a2EzQGLCUdAFwBZ1vfGREc/6RDxleOPdmV1fXH2KGgdXXH3fXH4KGggaOZoIksBdWFoI11x+ShHP+5m9eMbmLhHP9LKAy5dtmpHP9mZiuDEJYllaBh9cfpoJkcAAAAAAAAAAHNoJ2jmaChdcfsoR0ARALy2ycSrR0ADGcQIVWl5R0ARkFDGy3nZZXV9cfwoaB1dcf19cf4oaCBo5mgiSwF1YWgjXXH/KEc/07aM2e2cpkcAAAAAAAAAAEc/6AAAAAAAAGVoGH1yAAEAAGgmRwAAAAAAAAAAc2gnaOZoKF1yAQEAAChHP/oUOZBl5iRHv3LMvFu7Z6BHQCEDVzJA799ldX1yAgEAAChoHV1yAwEAAH1yBAEAAChoIGjmaCJLAXVhaCNdcgUBAAAoRz/mJLmTCTGtRwAAAAAAAAAARz/QAAAAAAAAZWgYfXIGAQAAaCZHAAAAAAAAAABzaCdo5mgoXXIHAQAAKEdADUtRRfKUkke/WRD7JPnfgEdABq8e7avqf2V1ZXVYBgAAAHRhcmdldHIIAQAAR0ASHWOIZZSvdS5QSwcIu4fZdHMSAABzEgAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAaAAUAbWItbXAtZ2FwLTEwMDAxMy9ieXRlb3JkZXJGQgEAWmxpdHRsZVBLBwiFPeMZBgAAAAYAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABgANABtYi1tcC1nYXAtMTAwMDEzL3ZlcnNpb25GQjAAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMwpQSwcI0Z5nVQIAAAACAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAnACkAbWItbXAtZ2FwLTEwMDAxMy8uZGF0YS9zZXJpYWxpemF0aW9uX2lkRkIlAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlowNjM2NDU3NzM3OTQ2NDAxMDUxMzAwMDAwMDE4NzAyMzI5NjA5MjU4UEsHCEWHwxUoAAAAKAAAAFBLAQIAAAAACAgAAAAAAAC7h9l0cxIAAHMSAAAZAAAAAAAAAAAAAAAAAAAAAABtYi1tcC1nYXAtMTAwMDEzL2RhdGEucGtsUEsBAgAAAAAICAAAAAAAAIU94xkGAAAABgAAABoAAAAAAAAAAAAAAAAAwxIAAG1iLW1wLWdhcC0xMDAwMTMvYnl0ZW9yZGVyUEsBAgAAAAAICAAAAAAAANGeZ1UCAAAAAgAAABgAAAAAAAAAAAAAAAAAFhMAAG1iLW1wLWdhcC0xMDAwMTMvdmVyc2lvblBLAQIAAAAACAgAAAAAAABFh8MVKAAAACgAAAAnAAAAAAAAAAAAAAAAAJITAABtYi1tcC1nYXAtMTAwMDEzLy5kYXRhL3NlcmlhbGl6YXRpb25faWRQSwYGLAAAAAAAAAAeAy0AAAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAKgEAAAAAAAA4FAAAAAAAAFBLBgcAAAAAYhUAAAAAAAABAAAAUEsFBgAAAAAEAAQAKgEAADgUAAAAAA==" | ./matbench_mp_gap/mb-mp-gap-100013 | /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-001604 | /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 |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA4MTQyMy9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQBG/XD3DhPpHAAAAAAAAAABHAAAAAAAAAABlXXENKEdAAb9cPRe4g0fAGgCkbV0loEdAEZeE/9mUhmVdcQ4oR0ABv1w9F7iDR8AaAKRtXSWgR8ARl4T/2ZSGZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAEb9cPcOE+lgBAAAAYnESR0AgT+qOKE/EWAEAAABjcRNHQCBP6o4oT8RYBQAAAGFscGhhcRRHQFBQwfBn4s1YBAAAAGJldGFxFUdAUo3gVK4vbVgFAAAAZ2FtbWFxFkdAUo3gVK4vbVgGAAAAdm9sdW1lcRdHQG+2SjXyA9Z1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABUYnEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHAAAAAAAAAABHAAAAAAAAAABHgAAAAAAAAABlaBh9cSVYBgAAAG1hZ21vbXEmRwAAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAAVGJxKFgDAAAAeHl6cSldcSooRwAAAAAAAAAARwAAAAAAAAAARwAAAAAAAAAAZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/0tUsIZwHB0c/5pVp7zH8fEc/5pVp7zH8fGVoGH1xL2gmRwAAAAAAAAAAc2gnWAIAAABUYnEwaCldcTEoR0ARv1w9SkY/R8AiWdodRjSlRwAAAAAAAAAAZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/5pVp7zH8fEc/0tUsIZwHB0c/0tUsIZwHB2VoGH1xNmgmRwAAAAAAAAAAc2gnWAIAAABUYnE3aCldcTgoR0ARv1w9kPc9R8AOmylAW8PpRwAAAAAAAAAAZXV9cTkoaB1dcTp9cTsoaCBYAgAAAFpucTxoIksBdWFoI11xPShHAAAAAAAAAABHP+AAAAAAAABHP+AAAAAAAABlaBh9cT5oJkeAAAAAAAAAAHNoJ1gCAAAAWm5xP2gpXXFAKEdAAb9cPRe4g0fAGgCkbV0loEcAAAAAAAAAAGV1fXFBKGgdXXFCfXFDKGggaDxoIksBdWFoI11xRChHP+AAAAAAAABHP9RbZUu0M3lHP+XSTVol5kRlaBh9cUVoJkcAAAAAAAAAAHNoJ1gCAAAAWm5xRmgpXXFHKEdAEb9cPW2ev0fAGgCkbV0loUe/+ZpNN4A0d2V1fXFIKGgdXXFJfXFKKGggaDxoIksBdWFoI11xSyhHP+AAAAAAAABHP+XSTVol5kRHP9RbZUu0M3llaBh9cUxoJkeAAAAAAAAAAHNoJ1gCAAAAWm5xTWgpXXFOKEdAEb9cPW2ev0fAGgCkbV0loUc/+ZpNN4A0d2V1fXFPKGgdXXFQfXFRKGggaDxoIksBdWFoI11xUihHP9XIeSsPIl1HP9M9eZ2lwshHP5MZQMO/h+tlaBh9cVNoJkcAAAAAAAAAAHNoJ1gCAAAAWm5xVGgpXXFVKEdAAb9cPYyq+UfAAJqkGQMwH0c/89eKM8WwmGV1fXFWKGgdXXFXfXFYKGggaDxoIksBdWFoI11xWShHP+Ubw2p4btJHP+ZhQzEtHpxHP+9nNfniA8FlaBh9cVpoJkcAAAAAAAAAAHNoJ1gCAAAAWm5xW2gpXXFcKEdAGp8KXBToAEfAJdn7ZxxZmEe/89eKM8WwmmV1fXFdKGgdXXFefXFfKGggaDxoIksBdWFoI11xYChHP9XIeSsPIl1HP5MZQMO/h+tHP9M9eZ2lwshlaBh9cWFoJkcAAAAAAAAAAHNoJ1gCAAAAWm5xYmgpXXFjKEdAAb9cPYyq+kfAAJqkGQMwH0e/89eKM8WwmGV1fXFkKGgdXXFlfXFmKGggaDxoIksBdWFoI11xZyhHP+Ubw2p4btJHP+9nNfniA8FHP+ZhQzEtHpxlaBh9cWhoJkeAAAAAAAAAAHNoJ1gCAAAAWm5xaWgpXXFqKEdAGp8KXBToAEfAJdn7ZxxZmEc/89eKM8WwmmV1fXFrKGgdXXFsfXFtKGggaDxoIksBdWFoI11xbihHP8GX2+nLNUhHP+KgGEOYsRFHP8JP5x4G0SplaBh9cW9oJkcAAAAAAAAAAHNoJ1gCAAAAWm5xcGgpXXFxKEdAAb9cPUbyd0fAEtrF4y7TVEc//uPPEE5jvmV1fXFyKGgdXXFzfXF0KGggaDxoIksBdWFoI11xdShHP+uaCQWNMq5HP9q/z3jOnd1HP+tsBjh+S7VlaBh9cXZoJkcAAAAAAAAAAHNoJ1gCAAAAWm5xd2gpXXF4KEdAGp8KXDfEQUfAIJNBe8W79ke//uPPEE5jvWV1fXF5KGgdXXF6fXF7KGggaDxoIksBdWFoI11xfChHP8GX2+nLNUhHP8JP5x4G0SpHP+KgGEOYsRFlaBh9cX1oJkcAAAAAAAAAAHNoJ1gCAAAAWm5xfmgpXXF/KEdAAb9cPUbyd0fAEtrF4y7TVEe//uPPEE5jvmV1fXGAKGgdXXGBfXGCKGggaDxoIksBdWFoI11xgyhHP+uaCQWNMq5HP+tsBjh+S7VHP9q/z3jOnd1laBh9cYRoJkeAAAAAAAAAAHNoJ1gCAAAAWm5xhWgpXXGGKEdAGp8KXDfEQUfAIJNBe8W79kc//uPPEE5jvWV1ZXVYBgAAAHRhcmdldHGHRwAAAAAAAAAAdS5QSwcIqaZvF7kIAAC5CAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAaAD8AbWItbXAtZ2FwLTA4MTQyMy9ieXRlb3JkZXJGQjsAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpsaXR0bGVQSwcIhT3jGQYAAAAGAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAYADQAbWItbXAtZ2FwLTA4MTQyMy92ZXJzaW9uRkIwAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjMKUEsHCNGeZ1UCAAAAAgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAJwApAG1iLW1wLWdhcC0wODE0MjMvLmRhdGEvc2VyaWFsaXphdGlvbl9pZEZCJQBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMDYzNjQ1NzczNzk0NjQwMTA1MTMwMDAwMDAxMzA4MDcyMDA2NTczMVBLBwgCgFLKKAAAACgAAABQSwECAAAAAAgIAAAAAAAAqaZvF7kIAAC5CAAAGQAAAAAAAAAAAAAAAAAAAAAAbWItbXAtZ2FwLTA4MTQyMy9kYXRhLnBrbFBLAQIAAAAACAgAAAAAAACFPeMZBgAAAAYAAAAaAAAAAAAAAAAAAAAAAAkJAABtYi1tcC1nYXAtMDgxNDIzL2J5dGVvcmRlclBLAQIAAAAACAgAAAAAAADRnmdVAgAAAAIAAAAYAAAAAAAAAAAAAAAAAJYJAABtYi1tcC1nYXAtMDgxNDIzL3ZlcnNpb25QSwECAAAAAAgIAAAAAAAAAoBSyigAAAAoAAAAJwAAAAAAAAAAAAAAAAASCgAAbWItbXAtZ2FwLTA4MTQyMy8uZGF0YS9zZXJpYWxpemF0aW9uX2lkUEsGBiwAAAAAAAAAHgMtAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAACoBAAAAAAAAuAoAAAAAAABQSwYHAAAAAOILAAAAAAAAAQAAAFBLBQYAAAAABAAEACoBAAC4CgAAAAA=" | ./matbench_mp_gap/mb-mp-gap-081423 | /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-074348 | /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-089279 | /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-014286 | /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-024298 | /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-026362 | /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-026762 | /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-012150 | /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-077460 | /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 |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA1MDkwMi9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQCo/PKAZZYJHv7jsy8W7tnpHwA5xR85K0TVlXXENKEfAHbb5IT6UD0dAJaNTLM2+ZEfADnFHzPM4RmVdcQ4oRz+qelsP8Q7LRz+47MvwrtQ+R0ArU/Srjg3KZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAK1Qu5+sej1gBAAAAYnESR0ArVC7xveklWAEAAABjcRNHQCtULvaIIL5YBQAAAGFscGhhcRRHQFp9JmmIta5YBAAAAGJldGFxFUdAWn0ma3kIWlgFAAAAZ2FtbWFxFkdAXTB/ZDYi71gGAAAAdm9sdW1lcRdHQJ5PvO9zKDh1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABUbHEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP+wAAAAAAABHP+w/erR8HglHP+A/erR8HgllaBh9cSVYBgAAAG1hZ21vbXEmRwAAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAAVGxxKFgDAAAAeHl6cSldcSooR0ATzoFXVBf1R0AjB4aWjF3lRz/P4gPfiDiAZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/vgQqXB8Pu0c/5AAAAAAAAEc/78CFS4Ph92VoGH1xL2gmRwAAAAAAAAAAc2gnWAIAAABUbHEwaCldcTEoR8AIbEZY3YRqR0AbY2TB37alR0Ald5oRabTMZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/43UEqbLsUUc/u6glTZdiiEc/4AAAAAAAAGVoGH1xNmgmRwAAAAAAAAAAc2gnWAIAAABUbHE3aCldcTgoR0Acz7e8PmcURz/yiGtUyjNjR0AQbbFeky/IZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/wivtWTROvEc/wivtWTROvEc/8AAAAAAAAGVoGH1xPWgmRwAAAAAAAAAAc2gnWAIAAABUbHE+aCldcT8oRz/rhp/mPvq7Rz/56VSWHOC9R0ApKsRejkINZXV9cUAoaB1dcUF9cUIoaCBoIWgiSwF1YWgjXXFDKEc/4w4od0KBsEc/2YWbSnPBmUc/0q32faA+z2VoGH1xRGgmRwAAAAAAAAAAc2gnWAIAAABUbHFFaCldcUYoR0ATeETRJNzCR0ARI6uzgFkTRz/KMMA+RWJAZXV9cUcoaB1dcUh9cUkoaCBoIWgiSwF1YWgjXXFKKEc/q3LThyYkgkc/1tekzNOCyUc/yqQTBL+CYWVoGH1xS2gmRwAAAAAAAAAAc2gnWAIAAABUbHFMaCldcU0oR7/+/jgAOtJtR0APAwOwaE4oRz/0ggkzjB2LZXV9cU4oaB1dcU99cVAoaCBoIWgiSwF1YWgjXXFRKEc/4z0yWsYfNEc/7JQtmZY+m0c/yS1rSCKDjmVoGH1xUmgmRwAAAAAAAAAAc2gnWAIAAABUbHFTaCldcVQoRz/0QM7CGKUfR0AjPvCmJwLrR8AH/S/HHnWzZXV9cVUoaB1dcVZ9cVcoaCBoIWgiSwF1YWgjXXFYKEc/2AAAAAAAAEc/14EKlwfD70c/34EKlwfD72VoGH1xWWgmRwAAAAAAAAAAc2gnWAIAAABUbHFaaCldcVsoR0ABv6cK+h24R0AP4Kvvn2HiR0APNn7uMifFZXV9cVwoaB1dcV19cV4oaCBoIWgiSwF1YWgjXXFfKEc/63UEqbLsUUc/63UEqbLsUUcAAAAAAAAAAGVoGH1xYGgmRwAAAAAAAAAAc2gnWAIAAABUbHFhaCldcWIoR0ATi6DYTDm8R0AiZiiaYAiIR8AaHuczn21CZXV9cWMoaB1dcWR9cWUoaCBoIWgiSwF1YWgjXXFmKEc/w8deIvX5QUc/7kjSx42duEc/02lKW+6+OWVoGH1xZ2gmRwAAAAAAAAAAc2gnWAIAAABUbHFoaCldcWkoR8AT8o/5cZt3R0AkgcamdIgNR7+nC1eA0tiAZXV9cWooaB1dcWt9cWwoaCBoIWgiSwF1YWgjXXFtKEc/u16TM04LJkc/025acOTEkEc/5qkEwS/gmGVoGH1xbmgmRwAAAAAAAAAAc2gnWAIAAABUbHFvaCldcXAoR7/qGpinFVWIR0AKvxIOMISsR0AgOjt8M/Z6ZXV9cXEoaB1dcXJ9cXMoaCBoIWgiSwF1YWgjXXF0KEc/wws2lOeDMUc/6w4od0KBsEc/6Vb7PtAfaGVoGH1xdWgmRwAAAAAAAAAAc2gnWAIAAABUbHF2aCldcXcoR8ARJjl0Z8jeR0Aia2/TXtUTR0AcJXqtzPbgZXV9cXgoaB1dcXl9cXooaCBoIWgiSwF1YWgjXXF7KEc/5kjSx42duEc/2eOvEXr8oEc/6bSlLfdfHWVoGH1xfGgmRwAAAAAAAAAAc2gnWAIAAABUbHF9aCldcX4oR0AYs8Q9X9bOR0ARjDatp/FCR0AbJd38L1CBZXV9cX8oaB1dcYB9cYEoaCBoIWgiSwF1YWgjXXGCKEc/5D96tHweCUc/wAAAAAAAAEc/f71aPg8EVWVoGH1xg2gmRwAAAAAAAAAAc2gnWAIAAABUbHGEaCldcYUoR0AdgLf5xc2LRz/0qhM3Gbx4R8AGOIFL3SMlZXV9cYYoaB1dcYd9cYgoaCBoIWgiSwF1YWgjXXGJKEc/5JQtmZY+m0c/6z0yWsYfNEc/5kta0gig42VoGH1ximgmRwAAAAAAAAAAc2gnWAIAAABUbHGLaCldcYwoR0ABN51tPdgDR0Aibdu4sw5nR0AOqrmP70MiZXV9cY0oaB1dcY59cY8oaCBoIWgiSwF1YWgjXXGQKEc/7Ir7Vk0Tr0c/2RX2rJonXkc/4AAAAAAAAGVoGH1xkWgmRwAAAAAAAAAAc2gnWAIAAABUbHGSaCldcZMoR0Aho7skxzDDR0AQz17Au4aURz//I8CqUANMZXV9cZQoaB1dcZV9cZYoaCBYAgAAAFBkcZdoIksBdWFoI11xmChHP+jCECWSCtpHP+QAAAAAAABHP+TCECWSCtplaBh9cZloJkcAAAAAAAAAAHNoJ1gCAAAAUGRxmmgpXXGbKEdAFi0yj281GUdAGv+xko3BykdADFRt599EQmV1fXGcKGgdXXGdfXGeKGggaJdoIksBdWFoI11xnyhHP+wAAAAAAABHP8z3v2m31JhHP+s979pt9SZlaBh9caBoJkcAAAAAAAAAAHNoJ1gCAAAAUGRxoWgpXXGiKEdAI7EahtSpOUdAA5G1n3bFU0dAHcQNTW9CxWV1fXGjKGgdXXGkfXGlKGggaJdoIksBdWFoI11xpihHP9f3Gl36MTRHP9+oFgkrzblHP7etJ+vXVA9laBh9cadoJkcAAAAAAAAAAHNoJ1gCAAAAUGRxqGgpXXGpKEc/8+lvoQP6MEdAFUvEIfQE0UfAAFj2PiT8ZWV1fXGqKGgdXXGrfXGsKGggaJdoIksBdWFoI11xrShHP6Begxgi4YFHP+TeZgG8mKJHP9oUtgUKKvxlaBh9ca5oJkcAAAAAAAAAAHNoJ1gCAAAAUGRxr2gpXXGwKEfAEZ2mzcjbD0dAHF5dG6hfL0dAB7hEyTndJmV1fXGxKGgdXXGyfXGzKGggaJdoIksBdWFoI11xtChHP9gAAAAAAABHP5hCBLJBWz9HP8MIQJZIK2hlaBh9cbVoJkcAAAAAAAAAAHNoJ1gCAAAAUGRxtmgpXXG3KEdAEwMY8GZobkc/zfw/cjGpNEc/4HcxeP14KGV1fXG4KGgdXXG5fXG6KGggaJdoIksBdWFoI11xuyhHP+Ar9PtqGSNHP+Mhmf5DZ15HP+wngipnMb1laBh9cbxoJkcAAAAAAAAAAHNoJ1gCAAAAUGRxvWgpXXG+KEdAAeQwsnXWOkdAGgS5OIhZnEdAH0uPkkJc52V1fXG/KGgdXXHAfXHBKGggaJdoIksBdWFoI11xwihHP9gI5aIFzsxHP+76F8590ehHP+PYfdWYzkNlaBh9ccNoJkcAAAAAAAAAAHNoJ1gCAAAAUGRxxGgpXXHFKEfAAdhn59Fnk0dAJP5r+OTiLEdACuQYd0+fTGV1fXHGKGgdXXHHfXHIKGggaJdoIksBdWFoI11xyShHP9ZDM/yGzrxHP+gr9PtqGSNHP9hPBFTOY3tlaBh9ccpoJkcAAAAAAAAAAHNoJ1gCAAAAUGRxy2gpXXHMKEe/8G1ZVeNrF0dAIFnPgUSC3Uc/77zXNnr1SGV1fXHNKGgdXXHOfXHPKGggaJdoIksBdWFoI11x0ChHP+8979pt9SZHP8AAAAAAAABHP9Z737Tb6kxlaBh9cdFoJkcAAAAAAAAAAHNoJ1gCAAAAUGRx0mgpXXHTKEdAJ83tvw1QoUc/9KoTOAXUfUc/44DFDn5qWGV1fXHUKGgdXXHVfXHWKGggaJdoIksBdWFoI11x1yhHP9m8zAN5MURHP9IL0GMEXDBHP+0KWwKFFX5laBh9cdhoJkcAAAAAAAAAAHNoJ1gCAAAAUGRx2WgpXXHaKEdACda9tSAlP0dACMx8xUHy2kdAI5gLh/Wx52V1fXHbKGgdXXHcfXHdKGggaJdoIksBdWFoI11x3ihHP89QLBJXm3JHP+P7jS79GJpHP+L1pP166oJlaBh9cd9oJkcAAAAAAAAAAHNoJ1gCAAAAUGRx4GgpXXHhKEe/9l1eSU+xBUdAGyjSJfJqaEdAEyd5jJHdQmV1fXHiKGgdXXHjfXHkKGggaJdoIksBdWFoI11x5ShHP+b6F8590ehHP+QEctEC52ZHP77D7qzGchVlaBh9ceZoJkcAAAAAAAAAAHNoJ1gCAAAAUGRx52gpXXHoKEdAEyEWgFFezUdAGtaQ/sSlHUfAC8PQ4EIpqmV1fXHpKGgdXXHqfXHrKGggWAIAAABDbHHsaCJLAXVhaCNdce0oRz/YAAAAAAAARz/sOvwvu9phRz99fhfd7TCaZWgYfXHuaCZHAAAAAAAAAABzaCdYAgAAAENsce9oKV1x8ChHv/ocQuOzYRlHQCMEdZ7WCJFHwBK+HGtmhPlldX1x8ShoHV1x8n1x8yhoIGjsaCJLAXVhaCNdcfQoRz/ZpyTyfbZkRz+8r/40+bHdRz/hq0t4I30zZWgYfXH1aCZHAAAAAAAAAABzaCdYAgAAAENscfZoKV1x9yhHQBHTTFMxhaFHP/OiQ+Rhw+9HQBZfPMXSwHBldX1x+ChoHV1x+X1x+ihoIGjsaCJLAXVhaCNdcfsoRz/rlf/GnzY8Rz/k05J5PtsyRz+qtLeCN9MrZWgYfXH8aCZHAAAAAAAAAABzaCdYAgAAAENscf1oKV1x/ihHQBnst7PJGshHQBvZiKphawFHwBQtW8yEJsRldX1x/yhoHV1yAAEAAH1yAQEAAChoIGjsaCJLAXVhaCNdcgIBAAAoRz/qsifADXa2Rz/AAAAAAAAARz/KyJ8ANdrYZWgYfXIDAQAAaCZHAAAAAAAAAABzaCdYAgAAAENscgQBAABoKV1yBQEAAChHQCQPnGZlLo1HP/SqEzekNHhHv+lQj84Fc/xldX1yBgEAAChoHV1yBwEAAH1yCAEAAChoIGjsaCJLAXVhaCNdcgkBAAAoRz/Yxepv9dw7Rz/jBdRq0NlMRz/vR2i/hxQGZWgYfXIKAQAAaCZHAAAAAAAAAABzaCdYAgAAAENscgsBAABoKV1yDAEAAChHP+bbxFHa7vRHQBn0saN7dStHQCM99V7Eor9ldX1yDQEAAChoHV1yDgEAAH1yDwEAAChoIGjsaCJLAXVhaCNdchABAAAoRz/EbjHhz2heRz/rvmurScVGRz/guJdAeOv6ZWgYfXIRAQAAaCZHAAAAAAAAAABzaCdYAgAAAENschIBAABoKV1yEwEAAChHwBFGlKpr/8lHQCLUqCo4UaVHQAnd1PNwGtdldX1yFAEAAChoHV1yFQEAAH1yFgEAAChoIGjsaCJLAXVhaCNdchcBAAAoRz/smWPvEsfZRz/WEALs71cQRz/oHigZTrCSZWgYfXIYAQAAaCZHAAAAAAAAAABzaCdYAgAAAENschkBAABoKV1yGgEAAChHQCJp77cmcyBHQA26TPSJRvFHQBZXo/QEvKRldX1yGwEAAChoHV1yHAEAAH1yHQEAAChoIGjsaCJLAXVhaCNdch4BAAAoRz/YAAAAAAAARz/FN2D/yiUoRz/Sm7B/5RKUZWgYfXIfAQAAaCZHAAAAAAAAAABzaCdYAgAAAENsciABAABoKV1yIQEAAChHQA2j5jXGEj9HP/yPqLle0cRHP/6kQysiS0BldX1yIgEAAChoHV1yIwEAAH1yJAEAAChoIGjsaCJLAXVhaCNdciUBAAAoRz/EoVoXzn3SRz/ZCFeHplIPRz/v22kSElE7ZWgYfXImAQAAaCZHAAAAAAAAAABzaCdYAgAAAENscicBAABoKV1yKAEAAChHv+eljYxnZG5HQBFAbIKV/AtHQCcAopU3CBtldX1yKQEAAChoHV1yKgEAAH1yKwEAAChoIGjsaCJLAXVhaCNdciwBAAAoRz/rhMQqO+i5Rz+7NOCHacE6Rz/c3TsOycdfZWgYfXItAQAAaCZHAAAAAAAAAABzaCdYAgAAAENsci4BAABoKV1yLwEAAChHQCUJ+jVylyJHP/HCeC470EtHQAPiqenehwJldX1yMAEAAChoHV1yMQEAAH1yMgEAAChoIGjsaCJLAXVhaCNdcjMBAAAoRz/Z9FcqXk1oRz/YgyipbHV0Rz/pXSDNKhTRZWgYfXI0AQAAaCZHAAAAAAAAAABzaCdYAgAAAENscjUBAABoKV1yNgEAAChHQAQkjwS28IBHQBC5xf/E3MtHQB9Rkoyumm5ldX1yNwEAAChoHV1yOAEAAH1yOQEAAChoIGjsaCJLAXVhaCNdcjoBAAAoRz/sezvVxBdHRz/q6dldKPr2Rz/n4dfmsU9uZWgYfXI7AQAAaCZHAAAAAAAAAABzaCdYAgAAAENscjwBAABoKV1yPQEAAChHQBXih3qfipxHQCIrqZ3USudHQAzh/RQP8CJldX1yPgEAAChoHV1yPwEAAH1yQAEAAChoIGjsaCJLAXVhaCNdckEBAAAoRz++KB6CISz2Rz/AAAAAAAAARz/figegiEs+ZWgYfXJCAQAAaCZHAAAAAAAAAABzaCdYAgAAAENsckMBAABoKV1yRAEAAChHP+SSLqAJJK1HP/Y43/TCyudHQBc9GzzpfwBldX1yRQEAAChoHV1yRgEAAH1yRwEAAChoIGjsaCJLAXVhaCNdckgBAAAoRz/WWNsNgkmcRz/Zr3H9yUQBRz/LCbU1gWwmZWgYfXJJAQAAaCZHAAAAAAAAAABzaCdYAgAAAENsckoBAABoKV1ySwEAAChHP/nKcVCTq2BHQBFQepY5hTJHP58cEqfmXgBldX1yTAEAAChoHV1yTQEAAH1yTgEAAChoIGjsaCJLAXVhaCNdck8BAAAoRz/WrnqcflBoRz/re9Q8LNb5Rz/RSFWEQOzaZWgYfXJQAQAAaCZHAAAAAAAAAABzaCdYAgAAAENsclEBAABoKV1yUgEAAChHv/tx7ohz3BhHQCKRVOjLf8tHv+2qREfUfvBldX1yUwEAAChoHV1yVAEAAH1yVQEAAChoIGjsaCJLAXVhaCNdclYBAAAoRz/i16l6DGCMRz+1mJRg9Y43Rz/nW9U934mTZWgYfXJXAQAAaCZHAAAAAAAAAABzaCdYAgAAAENsclgBAABoKV1yWQEAAChHQByN24Xrz+NHP+2lRvnEX0hHQB2mYCtaECZldX1yWgEAAChoHV1yWwEAAH1yXAEAAChoIGjsaCJLAXVhaCNdcl0BAAAoRz/WC6jVobKYRz/kYvU3+u4dRz/ejtF/DigMZWgYfXJeAQAAaCZHAAAAAAAAAABzaCdYAgAAAENscl8BAABoKV1yYAEAAChHv8f9n5oGLwhHQBufPq5jM6xHQAZP7CQFFCNldX1yYQEAAChoHV1yYgEAAH1yYwEAAChoIGjsaCJLAXVhaCNdcmQBAAAoRz/jKEcBG13/Rz/p6rROe7kJRz/uVLSH3ILNZWgYfXJlAQAAaCZHAAAAAAAAAABzaCdYAgAAAENscmYBAABoKV1yZwEAAChHP/454GiNZ79HQCGXtTk20TFHQB5dafvnw5RldX1yaAEAAChoHV1yaQEAAH1yagEAAChoIGjsaCJLAXVhaCNdcmsBAAAoRz/sAAAAAAAARz/XigegiEs+Rz/vxQPQRCWfZWgYfXJsAQAAaCZHAAAAAAAAAABzaCdYAgAAAENscm0BAABoKV1ybgEAAChHQCGassre/4tHQA/s7854tzBHQCGsNgC97VBldX1ybwEAAChoHV1ycAEAAH1ycQEAAChoIGjsaCJLAXVhaCNdcnIBAAAoRz/i6dldKPr2Rz/B7O9XEF0aRz/Ph1+axT23ZWgYfXJzAQAAaCZHAAAAAAAAAABzaCdYAgAAAENscnQBAABoKV1ydQEAAChHQBrqfu2XjjFHP/e0evJX8QdHP+Ktbik3I5RldX1ydgEAAChoHV1ydwEAAH1yeAEAAChoIGjsaCJLAXVhaCNdcnkBAAAoRz/sagA5YMnERz/cKpdjCI3uRz/SeyVlP0ntZWgYfXJ6AQAAaCZHAAAAAAAAAABzaCdYAgAAAENscnsBAABoKV1yfAEAAChHQCDMAmJYs0hHQBLP+LKjcGZHv/G5/wZDiwRldX1yfQEAAChoHV1yfgEAAH1yfwEAAChoIGjsaCJLAXVhaCNdcoABAAAoRz/rZpwQ7TgnRz+8JiFR30XLRz/ubp2HZOOvZWgYfXKBAQAAaCZHAAAAAAAAAABzaCdYAgAAAENscoIBAABoKV1ygwEAAChHQCTwetNzcP5HP/MueDtjZ/JHQCKipNA++ZhldX1yhAEAAChoHV1yhQEAAH1yhgEAAChoIGjsaCJLAXVhaCNdcocBAAAoRz/XOhWQCiPFRz/q5HOHjCXpRz/mot8y1esvZWgYfXKIAQAAaCZHAAAAAAAAAABzaCdYAgAAAENscokBAABoKV1yigEAAChHv/cY/u3aX/FHQCJAWUTdbSVHQBRYxKacA+JldX1yiwEAAChoHV1yjAEAAH1yjQEAAChoIGjsaCJLAXVhaCNdco4BAAAoRz/ZUYVjga+YRz/FM7XPhTjkRz9yS3b212JSZWgYfXKPAQAAaCZHAAAAAAAAAABzaCdYAgAAAENscpABAABoKV1ykQEAAChHQA+w9tDYVLpHP/wQT6+bD/pHwACY66YHwOdldX1ykgEAAChoHV1ykwEAAH1ylAEAAChoIGjsaCJLAXVhaCNdcpUBAAAoRz/k9/6JiFR4Rz/aLE1FrgoURz/hkWJ4mxxRZWgYfXKWAQAAaCZHAAAAAAAAAABzaCdYAgAAAENscpcBAABoKV1ymAEAAChHQBZcCUTP7oNHQBGoD+lykw9HQAudOMhm+UBldX1ymQEAAChoHV1ymgEAAH1ymwEAAChoIGjsaCJLAXVhaCNdcpwBAAAoRz/qsxKMHrHHRz/q16l6DGCMRz/Nb1T3fiZMZWgYfXKdAQAAaCZHAAAAAAAAAABzaCdYAgAAAENscp4BAABoKV1ynwEAAChHQBLrxMOFZkVHQCIIZmtWwm5HwAnMcM2vkOpldX1yoAEAAChoHV1yoQEAAH1yogEAAChoIGjsaCJLAXVhaCNdcqMBAAAoRz+4QAuzvVxBRz/CZY+8Sx9jRz/QPFAynWEkZWgYfXKkAQAAaCZHAAAAAAAAAABzaCdYAgAAAENscqUBAABoKV1ypgEAAChHP8gjthGHSVZHP/kgev4s/vlHQAR4pl7zHoFldX1ypwEAAChoHV1yqAEAAH1yqQEAAChoIGjsaCJLAXVhaCNdcqoBAAAoRz/tTdg/8olKRz/kAAAAAAAARz/pTdg/8olKZWgYfXKrAQAAaCZHAAAAAAAAAABzaCdYAgAAAENscqwBAABoKV1yrQEAAChHQB2p1UC/eUBHQBr/sZKmKctHQBPEYY+AHexldX1yrgEAAChoHV1yrwEAAH1ysAEAAChoIGjsaCJLAXVhaCNdcrEBAAAoRz/EWJqLXBQoRz/s9/6JiFR4Rz+pFieJscUKZWgYfXKyAQAAaCZHAAAAAAAAAABzaCdYAgAAAENscrMBAABoKV1ytAEAAChHwBKLsSfqdMBHQCORHlVA8XpHwAsKsI4Kma5ldX1ytQEAAChoHV1ytgEAAH1ytwEAAChoIGjsaCJLAXVhaCNdcrgBAAAoRz/CEK8PTKQeRz/aUK0L5z7pRz/fttIkJKJ3ZWgYfXK5AQAAaCZHAAAAAAAAAABzaCdYAgAAAENscroBAABoKV1yuwEAAChHv/LTrz63NptHQBHulk4LvvNHQBKtUH7jc8tldX1yvAEAAChoHV1yvQEAAH1yvgEAAChoIGjsaCJLAXVhaCNdcr8BAAAoRz/DXuP7kogCRz/jLG2GwSTORz/mwm1NYFsKZWgYfXLAAQAAaCZHAAAAAAAAAABzaCdYAgAAAENscsEBAABoKV1ywgEAAChHwANtFbH3G1ZHQBol2npeW61HQBtzEL5X8UBldX1ywwEAAChoHV1yxAEAAH1yxQEAAChoIGjsaCJLAXVhaCNdcsYBAAAoRz/je9Q8LNb5Rz/jVz1OPyg0Rz/opCrCIHZtZWgYfXLHAQAAaCZHAAAAAAAAAABzaCdYAgAAAENscsgBAABoKV1yyQEAAChHQAxStl+HHCNHQBo3/29kTZlHQBeerCJnxl5ldX1yygEAAChoHV1yywEAAH1yzAEAAChoIGjsaCJLAXVhaCNdcs0BAAAoRz/i5HOHjCXpRz/jnQrIBRHjRz/Ki3zLV6y6ZWgYfXLOAQAAaCZHAAAAAAAAAABzaCdYAgAAAENscs8BAABoKV1y0AEAAChHQAmk1TygdzxHQBpgJHZPFI9Hv/vswBRkeAxldX1y0QEAAChoHV1y0gEAAH1y0wEAAChoIGjsaCJLAXVhaCNdctQBAAAoRz/jvmurScVGRz/aNxjw57QvRz+XEugPHX9CZWgYfXLVAQAAaCZHAAAAAAAAAABzaCdYAgAAAENsctYBAABoKV1y1wEAAChHQBQ4vv9BIGhHQBF+sJr/K/pHwAzKFGRJKHlldX1y2AEAAChoHV1y2QEAAH1y2gEAAChoIGjsaCJLAXVhaCNdctsBAAAoRz/sAAAAAAAARz+1kT4Aa7WxRz/msifADXa2ZWgYfXLcAQAAaCZHAAAAAAAAAABzaCdYAgAAAENsct0BAABoKV1y3gEAAChHQCXJrXGWWOBHP+ymlOep3A1HQBgp4rHGXvlldX1y3wEAAChoHV1y4AEAAH1y4QEAAChoIGjsaCJLAXVhaCNdcuIBAAAoRz/IVS7GERvcRz/BqADlgycRRz/pPZKyn6T2ZWgYfXLjAQAAaCZHAAAAAAAAAABzaCdYAgAAAENscuQBAABoKV1y5QEAAChHP/gsdiBbSlRHP/jPfAYX/6RHQCMPDGh3VUBldX1y5gEAAChoHV1y5wEAAH1y6AEAAChoIGjsaCJLAXVhaCNdcukBAAAoRz/kOvwvu9phRz/kAAAAAAAARz/gOvwvu9phZWgYfXLqAQAAaCZHAAAAAAAAAABzaCdYAgAAAENscusBAABoKV1y7AEAAChHQA1wnfKrzX9HQBr/sZJ1cwpHQAErsH/2sgxldX1y7QEAAChoHV1y7gEAAH1y7wEAAChoIGjsaCJLAXVhaCNdcvABAAAoRz/tTO1z4U45Rz/kqMKxwNfMRz/gJJbt7a7FZWgYfXLxAQAAaCZHAAAAAAAAAABzaCdYAgAAAENscvIBAABoKV1y8wEAAChHQBz8dZYHJvFHQBvHY7WzSA1HP+521425zOBldX1y9AEAAChoHV1y9QEAAH1y9gEAAChoIGjsaCJLAXVhaCNdcvcBAAAoRz/h6rROe7kJRz/rKEcBG13/Rz/cqWkPuQWbZWgYfXL4AQAAaCZHAAAAAAAAAABzaCdYAgAAAENscvkBAABoKV1y+gEAAChHP/EQja0DTnhHQCJXdEc6KrhHP+hLqoMC9gBldX1y+wEAAChoHV1y/AEAAH1y/QEAAChoIGjsaCJLAXVhaCNdcv4BAAAoRz/BBlFS2OroRz/k+iuVLya0Rz/SukGaVCmjZWgYfXL/AQAAaCZHAAAAAAAAAABzaCdYAgAAAENscgACAABoKV1yAQIAAChHwAjfjqksx19HQBxuZLCyTOJHP+/s7wp69jBldWV1WAYAAAB0YXJnZXRyAgIAAEc/8i/sVtXPq3UuUEsHCEAmedsZJQAAGSUAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgAfAG1iLW1wLWdhcC0wNTA5MDIvYnl0ZW9yZGVyRkIbAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWmxpdHRsZVBLBwiFPeMZBgAAAAYAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABgANABtYi1tcC1nYXAtMDUwOTAyL3ZlcnNpb25GQjAAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMwpQSwcI0Z5nVQIAAAACAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAnACkAbWItbXAtZ2FwLTA1MDkwMi8uZGF0YS9zZXJpYWxpemF0aW9uX2lkRkIlAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlowNjM2NDU3NzM3OTQ2NDAxMDUxMzAwMDAwMDI1ODc5Mzc0MjY4NjU0UEsHCGXoJAYoAAAAKAAAAFBLAQIAAAAACAgAAAAAAABAJnnbGSUAABklAAAZAAAAAAAAAAAAAAAAAAAAAABtYi1tcC1nYXAtMDUwOTAyL2RhdGEucGtsUEsBAgAAAAAICAAAAAAAAIU94xkGAAAABgAAABoAAAAAAAAAAAAAAAAAaSUAAG1iLW1wLWdhcC0wNTA5MDIvYnl0ZW9yZGVyUEsBAgAAAAAICAAAAAAAANGeZ1UCAAAAAgAAABgAAAAAAAAAAAAAAAAA1iUAAG1iLW1wLWdhcC0wNTA5MDIvdmVyc2lvblBLAQIAAAAACAgAAAAAAABl6CQGKAAAACgAAAAnAAAAAAAAAAAAAAAAAFImAABtYi1tcC1nYXAtMDUwOTAyLy5kYXRhL3NlcmlhbGl6YXRpb25faWRQSwYGLAAAAAAAAAAeAy0AAAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAKgEAAAAAAAD4JgAAAAAAAFBLBgcAAAAAIigAAAAAAAABAAAAUEsFBgAAAAAEAAQAKgEAAPgmAAAAAA==" | ./matbench_mp_gap/mb-mp-gap-050902 | /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-099480 | /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 |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA0NDEzMy9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQCDoZZhgM5xHAAAAAAAAAABHP2tsqB7tgPdlXXENKEcAAAAAAAAAAEdAIOkdPilbbkcAAAAAAAAAAGVdcQ4oRz9raqS5iExqRwAAAAAAAAAAR0Ag6aGeH+YkZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAIOhlrp3zmVgBAAAAYnESR0Ag6R0+KVtuWAEAAABjcRNHQCDpobRYwu1YBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAVn0Yvi070lgFAAAAZ2FtbWFxFkdAVoAAAAAAAFgGAAAAdm9sdW1lcRdHQILjrLQN9lh1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABMaXEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP+/xDtYxpWpHP+/t31aSMvNHP+/z6u516edlaBh9cSVYBgAAAG1hZ21vbXEmRwAAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAATGlxKFgDAAAAeHl6cSldcSooR0Ag4jaERIfWR0Ag34jbD/0pR0Ag5PTci+TyZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/v/0Ge283Gkc/7ABz7jlZEkc/2AVqF3XoZWVoGH1xL2gmRz9QYk3S8an8c2gnWAIAAABMaXEwaCldcTEoRz/w6/hja5CKR0AdmG20Er5iR0AJZQblKF/CZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/2AHo2JwN6Ec/wAAOmJ8dvUc/7AEyn+VjHGVoGH1xNmgmRz9gYk3S8an8c2gnWAIAAABMaXE3aCldcTgoR0AJZJyPRwAxRz/w6SyrcbOiR0Adm2gj/48jZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/4/8Lk7H5DEc/5AADpifHb0c/4/7NYBqc5GVoGH1xPWgmRz9gYk3S8an8c2gnWAIAAABMaXE+aCldcT8oR0AVI6Dn/7CuR0AVI2hpBchWR0AVJOpLZAD5ZXV9cUAoaB1dcUF9cUIoaCBoIWgiSwF1YWgjXXFDKEc/7ABfMJIZHUc/2ADn3HKyJEc/v+pXoihebmVoGH1xRGgmRz9QYk3S8an8c2gnWAIAAABMaXFFaCldcUYoR0Adl4PCMRuaR0AJXqDr0sXpRz/w6i8CPk/OZXV9cUcoaB1dcUh9cUkoaCBoIWgiSwF1YWgjXXFKKEc/XeJTnLUs80c/39u+rSRl5kc/4AwVEYoWGWVoGH1xS2gmRwAAAAAAAAAAc2gnWAIAAABMaXFMaCldcU0oRz+RgicaIRweR0AQ1fR39p7kR0AQ9mi2S8Y4ZXV9cU4oaB1dcU99cVAoaCBYAgAAAFRpcVFoIksBdWFoI11xUihHP8ClP2ojNGNHP78jNeUUQVZHP+QrhP6B+5hlaBh9cVNoJke/pP3ztkWhy3NoJ1gCAAAAVGlxVGgpXXFVKEc/8Z+pK2YSYkc/8HRvx1tqQUdAFVJ8nBHS8GV1fXFWKGgdXXFXfXFYKGggaFFoIksBdWFoI11xWShHP72oz+1oo61HP+QTmgCcsv9HP8FOcNFOZsBlaBh9cVpoJke/YGJN0vGp/HNoJ1gCAAAAVGlxW2gpXXFcKEc/71tQ/3jRqUdAFTgcJMyXwEc/8ky8nt7RkmV1fXFdKGgdXXFefXFfKGggaFFoIksBdWFoI11xYChHP7/BkrHz2H9HP9dsm+pWy2lHP+wpivOOgo9laBh9cWFoJke/oGJN0vGp/HNoJ1gCAAAAVGlxYmgpXXFjKEc/8NN6BpsCKkdACMHkWLdcb0dAHcUxQAGTJGV1fXFkKGgdXXFlfXFmKGggaFFoIksBdWFoI11xZyhHP9g7DdLRc6ZHP9gWa2bWTdVHP+QkybOSvwplaBh9cWhoJke/xBiTdLxqf3NoJ1gCAAAAVGlxaWgpXXFqKEdACZ9QgbuGAkdACXVd6ResTkdAFUw5J783j2V1fXFrKGgdXXFsfXFtKGggaFFoIksBdWFoI11xbihHP9fVd4t8y1hHP+QsmD7QoEFHP9hhCrycfftlaBh9cW9oJke/yVgQYk3S8nNoJ1gCAAAAVGlxcGgpXXFxKEdACTJCi2FnUkdAFVKGhxhDu0dACceTy7MwF2V1fXFyKGgdXXFzfXF0KGggaFFoIksBdWFoI11xdShHP9dURA95b65HP+wxcli3/QdHP7/Q2aHHZYVlaBh9cXZoJke/tYEGJN0vG3NoJ1gCAAAAVGlxd2gpXXF4KEdACKf4Hm3/bkdAHcw18QuwEUc/8NW1xZxzTWV1fXF5KGgdXXF6fXF7KGggaFFoIksBdWFoI11xfChHP+QVRDpBmlRHP8CyYPtCgQRHP7571Q2OCBZlaBh9cX1oJke/xqfvnbItDnNoJ1gCAAAAVGlxfmgpXXF/KEdAFTlglVtMFEc/8aWlI7uhM0c/8CUVNSivImV1fXGAKGgdXXGBfXGCKGggaFFoIksBdWFoI11xgyhHP+RV3fhDSClHP9hi5LFv+g5HP9gLyZeOJp9laBh9cYRoJke/tP3ztkWhy3NoJ1gCAAAAVGlxhWgpXXGGKEdAFX6Fy9UABUdACcYxZcSpRkdACW9Dg3lOAmV1fXGHKGgdXXGIfXGJKGggaFFoIksBdWFoI11xiihHP+PieRaXRi1HP+wLNbNrJupHP+vbNkxtQPZlaBh9cYtoJke/wSbpeNT99HNoJ1gCAAAAVGlxjGgpXXGNKEdAFQZG7sVtxUdAHaPMMrUxlEdAHXQZR6RYjWV1fXGOKGgdXXGPfXGQKGggaFFoIksBdWFoI11xkShHP+xK5gJS64pHP8BOaAJyy/pHP9dYx5dYzKBlaBh9cZJoJke/UGJN0vGp/HNoJ1gCAAAAVGlxk2gpXXGUKEdAHecXuxzlh0c/8Tv7mozxR0dACLPAFtge32V1fXGVKGgdXXGWfXGXKGggaFFoIksBdWFoI11xmChHP+vWsCV3MudHP+PkZryiiCtHP+vUewF+BGhlaBh9cZloJke/pYEGJN0vG3NoJ1gCAAAAVGlxmmgpXXGbKEdAHW4E5MmsLkdAFQY5MAA1/0dAHW3V01G9LGV1fXGcKGgdXXGdfXGeKGggaFFoIksBdWFoI11xnyhHP+wHzanBhPBHP+u2TfUrZbRHP+PWdQxxfXFlaBh9caBoJke/nKwIMSbpeXNoJ1gCAAAAVGlxoWgpXXGiKEdAHaEQrfxwPEdAHUoPaoUJpUdAFPshL2H8+WV1fXGjKGgdXXGkfXGlKGggWAIAAABDb3GmaCJLAXVhaCNdcacoRz/QHnRUkKYARz/QIN0lCaTERz/QDUs3YOpRZWgYfXGoaCZHQATxqfvnbItzaCdYAgAAAENvcaloKV1xqihHQAEKTFvfi5JHQAEL2TOu3aVHQAD5aQDTcBhldX1xqyhoHV1xrH1xrShoIGimaCJLAXVhaCNdca4oRz/P1dWKCrBdRz/n+Ooxt4gXRz/oEt4TnBQdZWgYfXGvaCZHQATdLxqfvndzaCdYAgAAAENvcbBoKV1xsShHQADXRi0iqSFHQBlWLtR2hTdHQBlzPkWHjrBldX1xsihoHV1xs31xtChoIGimaCJLAXVhaCNdcbUoRz/f7hisny/cRz/gAwjOWsFtRz9Xnq0pxEmbZWgYfXG2aCZHQATZFocrAgxzaCdYAgAAAENvcbdoKV1xuChHQBDe8SyFgs1HQBDsUkJM5nhHP4xjPH5KUmBldX1xuShoHV1xun1xuyhoIGimaCJLAXVhaCNdcbwoRz/gCPOpsGgSRz84RnLWC2TjRz/f6GFS1ju2ZWgYfXG9aCZHQATZFocrAgxzaCdYAgAAAENvcb5oKV1xvyhHQBDzkK6GfPBHP2moIRxYSwBHQBDe3ZTknqtldX1xwChoHV1xwX1xwihoIGimaCJLAXVhaCNdccMoRz/oCoqdfVPpRz/P46jG3iBcRz/n7SHsY+vjZWgYfXHEaCZHQATrhR64UexzaCdYAgAAAENvccVoKV1xxihHQBlqTBkR3DZHQADaIyyaU5FHQBlNFCncAWxldX1xxyhoHV1xyH1xyShoIGimaCJLAXVhaCNdccooRz/n8MXVt60ARz/oEG6ShNJiRz/P5WmRPitfZWgYfXHLaCZHQATxqfvnbItzaCdYAgAAAENvccxoKV1xzShHQBlNW60cOfRHQBlvCdgAykBHQADgtWV0F5BldX1xzihoHV1xz31x0ChoIFgBAAAAT3HRaCJLAXVhaCNdcdIoRz/AX8N0iWnMRz/Y/8EAZdZ0Rz+7b6J6Pd6zZWgYfXHTaCZHP6BiTdLxqfxzaCdo0WgpXXHUKEc/8U8QGRb+50dACmv7G6kcSkc/7QPDZFMtzmV1fXHVKGgdXXHWfXHXKGggaNFoIksBdWFoI11x2ChHP8Hblmk4fctHP9cRdCZtfQZHP+R6xclNZmVlaBh9cdloJkc/fKwIMSbpeXNoJ2jRaCldcdooRz/y572945iMR0AIYYx7Ht+6R0AVpkr2qwDQZXV9cdsoaB1dcdx9cd0oaCBo0WgiSwF1YWgjXXHeKEc/wmuNQcd1oEc/626hg3Lmp0c/v8N5vNpmaGVoGH1x32gmRz98rAgxJul5c2gnaNFoKV1x4ChHP/N4zST1OOJHQBz+TraVeENHP/DLncKj8KpldX1x4ShoHV1x4n1x4yhoIGjRaCJLAXVhaCNdceQoRz+8IcfQ5ImCRz/sjlgSOsAaRz/kFI0asC+IZWgYfXHlaCZHP5++dsi0OVhzaCdo0WgpXXHmKEc/7cuYheCOLEdAHi5lJbU96EdAFTojpt1IhGV1fXHnKGgdXXHofXHpKGggaNFoIksBdWFoI11x6ihHP8IsYnQTeC1HP+PzEoFh6lZHP9a6OMt4jt1laBh9cetoJkc/gm6XjU/fO3NoJ2jRaCldcewoRz/zOTekWHl/R0AVFbq08Q9QR0AIBw9riOdTZXV9ce0oaB1dce59ce8oaCBo0WgiSwF1YWgjXXHwKEc/u5FBhl0mzUc/wE7JJk8fIkc/2PAYILMo4mVoGH1x8WgmRz+euFHrhR64c2gnaNFoKV1x8ihHP+0sWZ/2B1BHP/E8YkW1B09HQApc+WfJpxxldX1x8yhoHV1x9H1x9ShoIGjRaCJLAXVhaCNdcfYoRz+/sWTnYEvwRz/CapEC8iLIRz/rfUfO9p2sZWgYfXH3aCZHP3ysCDEm6XlzaCdo0WgpXXH4KEc/8Mqj1pj4gUc/83bii2BqdUdAHQ8ahiRxuWV1fXH5KGgdXXH6fXH7KGggaNFoIksBdWFoI11x/ChHP7yBVSoo82lHP+OZj1hNHhZHP+xn3R5+mzxlaBh9cf1oJkc/oOVgQYk3THNoJ2jRaCldcf4oRz/uN7PJxRrdR0AUtx9iPIYeR0AeBwZIDnFcZXV9cf8oaB1dcgABAAB9cgEBAAAoaCBo0WgiSwF1YWgjXXICAQAAKEc/2O4235Ad8Ec/u33IAeHXdkc/wFjYM11PkWVoGH1yAwEAAGgmRz+h64UeuFHsc2gnaNFoKV1yBAEAAChHQApZM19u86JHP+0OUfFGOiFHP/FM4oim5KdldX1yBQEAAChoHV1yBgEAAH1yBwEAAChoIGjRaCJLAXVhaCNdcggBAAAoRz/W2rPgbLzCRz/BumTrPCOdRz/j5EWkz9ibZWgYfXIJAQAAaCZHP6FocrAgxJxzaCdo0WgpXXIKAQAAKEdACCrq6C0zj0c/8ryvr5TDwUdAFQf0KrH5bGV1fXILAQAAKGgdXXIMAQAAfXINAQAAKGggaNFoIksBdWFoI11yDgEAAChHP9i3gVZWzsRHP9jDC4LrAWtHP9jIXRu579BlaBh9cg8BAABoJkc/om6XjU/fO3NoJ2jRaCldchABAAAoR0AKISqQOd+uR0AKK9EcRiriR0AKNOMU/K+GZXV9chEBAAAoaB1dchIBAAB9chMBAAAoaCBo0WgiSwF1YWgjXXIUAQAAKEc/1xMVJdb/K0c/2C579Bc+i0c/63dTiRQQWGVoGH1yFQEAAGgmRz+h64UeuFHsc2gnaNFoKV1yFgEAAChHQAhoHmp5+85HQAmOzRNdHRJHQB0JnxDxj6JldX1yFwEAAChoHV1yGAEAAH1yGQEAAChoIGjRaCJLAXVhaCNdchoBAAAoRz/XPxjvkBtBRz/kZZTqXVZyRz/Bd2J3mWmeZWgYfXIbAQAAaCZHP6BiTdLxqfxzaCdo0WgpXXIcAQAAKEdACJGu49mirUdAFY7Bek6IXkc/8ntoenunPWV1fXIdAQAAKGgdXXIeAQAAfXIfAQAAKGggaNFoIksBdWFoI11yIAEAAChHP9g+DkMOyHBHP+t5O/ZQU9VHP9cNZprppcxlaBh9ciEBAABoJkc/o3S8an7523NoJ2jRaCldciIBAAAoR0AJoKQEqI2WR0AdCYOl/MAOR0AIYJtxXw/YZXV9ciMBAAAoaB1dciQBAAB9ciUBAAAoaCBo0WgiSwF1YWgjXXImAQAAKEc/18LS42dDBUc/445nJlTTbEc/438gbDErnGVoGH1yJwEAAGgmRz+i8an752yLc2gnaNFoKV1yKAEAAChHQAkgH8SaWNVHQBSrVKKIWIpHQBSdFnVCDcxldX1yKQEAAChoHV1yKgEAAH1yKwEAAChoIGjRaCJLAXVhaCNdciwBAAAoRz/ZHazu4PPLRz/r6OATUJTDRz/seDTafTmSZWgYfXItAQAAaCZHP6Jul41P3ztzaCdo0WgpXXIuAQAAKEdACpCTyEJmk0dAHX+CVO6FwUdAHhlDVDrwamV1fXIvAQAAKGgdXXIwAQAAfXIxAQAAKGggaNFoIksBdWFoI11yMgEAAChHP+Rgc4g38mBHP8GWU6l1WclHP9dETsQzSzFlaBh9cjMBAABoJkc/oOVgQYk3THNoJ2jRaCldcjQBAAAoR0AViappHy5nRz/ylpDwlLPAR0AInGopCbQJZXV9cjUBAAAoaB1dcjYBAAB9cjcBAAAoaCBo0WgiSwF1YWgjXXI4AQAAKEc/4+D43nibyEc/1vJ37KCnq0c/weUyyiy0aWVoGH1yOQEAAGgmRz+jdLxqfvnbc2gnaNFoKV1yOgEAAChHQBUCL9i3uPJHQAhAzM+myUFHP/LzBenQ76NldX1yOwEAAChoHV1yPAEAAH1yPQEAAChoIGjRaCJLAXVhaCNdcj4BAAAoRz/jcSmIj4YaRz/X0cAmoSmGRz/jh8slgsZuZWgYfXI/AQAAaCZHP6Jul41P3ztzaCdo0WgpXXJAAQAAKEdAFI2lS4H9fEdACSzKLYpUpkdAFKcPGyifsmV1fXJBAQAAKGgdXXJCAQAAfXJDAQAAKGggaNFoIksBdWFoI11yRAEAAChHP+OI5JA38QhHP+NvuQA8Ou9HP9fTk+ZRWDdlaBh9ckUBAABoJkc/oeuFHrhR7HNoJ2jRaCldckYBAAAoR0AUpegrVIXrR0AUiud8UiKyR0AJM60h9BVUZXV9ckcBAAAoaB1dckgBAAB9ckkBAAAoaCBo0WgiSwF1YWgjXXJKAQAAKEc/5B6WjkxefUc/vHM5MqabYEc/7IDfk87UZGVoGH1ySwEAAGgmRz+jdLxqfvnbc2gnaNFoKV1yTAEAAChHQBVF301WBFtHP+4RuyL36N5HQB4jO/ohglBldX1yTQEAAChoHV1yTgEAAH1yTwEAAChoIGjRaCJLAXVhaCNdclABAAAoRz/kkqYPyaGfRz/kbpk6zwjnRz/sG7pbMCdlZWgYfXJRAQAAaCZHP6FocrAgxJxzaCdo0WgpXXJSAQAAKEdAFcB5u4yW/0dAFZhJKg6MXkdAHbheRLGWsGV1fXJTAQAAKGgdXXJUAQAAfXJVAQAAKGggaNFoIksBdWFoI11yVgEAAChHP+OkP1TUmJ5HP+xhhcF1gLZHP7zei5EYQL9laBh9clcBAABoJkc/ovGp++dsi3NoJ2jRaCldclgBAAAoR0AUweyS7w/mR0Ad/wXMTHDgRz/ulO1FK2CIZXV9clkBAAAoaB1dcloBAAB9clsBAAAoaCBo0WgiSwF1YWgjXXJcAQAAKEc/5HZ1bRSAa0c/7Bc9+gufRkc/5IisduvvqGVoGH1yXQEAAGgmRz+h64UeuFHsc2gnaNFoKV1yXgEAAChHQBWh3/pmMuBHQB2wg8fX6fhHQBW2s15yAHtldX1yXwEAAChoHV1yYAEAAH1yYQEAAChoIGjRaCJLAXVhaCNdcmIBAAAoRz/rdOdi+yH1Rz+/mJQLD1KuRz/Ci45pDuJGZWgYfXJjAQAAaCZHP4Jul41P3ztzaCdo0WgpXXJkAQAAKEdAHQQz8fXhXkc/8LJ12x7PiUc/86Yd9X1Aq2V1fXJlAQAAKGgdXXJmAQAAfXJnAQAAKGggaNFoIksBdWFoI11yaAEAAChHP+xv1Vq64ZNHP7zMesJo8K9HP+OYIuGBZMRlaBh9cmkBAABoJkc/oOVgQYk3THNoJ2jRaCldcmoBAAAoR0AeDvi2ao1rRz/ucBEgmVV7R0AUuUwnVR7AZXV9cmsBAAAoaB1dcmwBAAB9cm0BAAAoaCBo0WgiSwF1YWgjXXJuAQAAKEc/62Ucr44imEc/1t1DBuXNT0c/2A8hkMlmZmVoGH1ybwEAAGgmRz94k3S8an76c2gnaNFoKV1ycAEAAChHQBz0TpHOsYRHQAgqYvDYOatHQAl0T4T1j1NldX1ycQEAAChoHV1ycgEAAH1ycwEAAChoIGjRaCJLAXVhaCNdcnQBAAAoRz/sjdfPNFsmRz/kE7JJk8fJRz+8P599M1x5ZWgYfXJ1AQAAaCZHP564UeuFHrhzaCdo0WgpXXJ2AQAAKEdAHiz2pw0+0kdAFTg1z5adQkc/7fST+feCMWV1fXJ3AQAAKGgdXXJ4AQAAfXJ5AQAAKGggaNFoIksBdWFoI11yegEAAChHP+wJ02MT9oJHP+SapEC8iLJHP+SCuDEJYlRlaBh9cnsBAABoJkc/eJN0vGp++nNoJ2jRaCldcnwBAAAoR0Ado0Y5/PKmR0AVxtXhAXYLR0AVsTfpPx5jZXV9cn0BAAAoaB1dcn4BAAB9cn8BAAAoaCBo0WgiSwF1YWgjXXKAAQAAKEc/7HvE7QR6uUc/2RywJHWANUc/6+ty5U/QeGVoGH1ygQEAAGgmRz+fvnbItDlYc2gnaNFoKV1yggEAAChHQB4ceeeSOR5HQAqKj88XxPVHQB2GLshMxDVldX1ygwEAAChoHV1yhAEAAH1yhQEAAChoIGjRaCJLAXVhaCNdcoYBAAAoRz/r6A8i3aWNRz/sf+CAMus6Rz/ZJBdhcIhTZWgYfXKHAQAAaCZHP6BiTdLxqfxzaCdo0WgpXXKIAQAAKEdAHX691MZAAkdAHh8ay/3pk0dACpktjTK8NGV1fXKJAQAAKGgdXXKKAQAAfXKLAQAAKGggaNFoIksBdWFoI11yjAEAAChHP+uJGmWx4I1HP+uIuhM2voNHP+uFOjaymZtlaBh9co0BAABoJkc/gGJN0vGp/HNoJ2jRaCldco4BAAAoR0AdG//AKkqjR0AdGeN7uMtLR0AdGgd4uI9MZXVldVgGAAAAdGFyZ2V0co8BAABHAAAAAAAAAAB1LlBLBwgCK+fcRh0AAEYdAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABoAMgBtYi1tcC1nYXAtMDQ0MTMzL2J5dGVvcmRlckZCLgBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpabGl0dGxlUEsHCIU94xkGAAAABgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGAA0AG1iLW1wLWdhcC0wNDQxMzMvdmVyc2lvbkZCMABaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlozClBLBwjRnmdVAgAAAAIAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAACcAKQBtYi1tcC1nYXAtMDQ0MTMzLy5kYXRhL3NlcmlhbGl6YXRpb25faWRGQiUAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjA2MzY0NTc3Mzc5NDY0MDEwNTEzMDAwMDAwMjU5NjE1OTg0NDQyMTZQSwcIwznMhSgAAAAoAAAAUEsBAgAAAAAICAAAAAAAAAIr59xGHQAARh0AABkAAAAAAAAAAAAAAAAAAAAAAG1iLW1wLWdhcC0wNDQxMzMvZGF0YS5wa2xQSwECAAAAAAgIAAAAAAAAhT3jGQYAAAAGAAAAGgAAAAAAAAAAAAAAAACWHQAAbWItbXAtZ2FwLTA0NDEzMy9ieXRlb3JkZXJQSwECAAAAAAgIAAAAAAAA0Z5nVQIAAAACAAAAGAAAAAAAAAAAAAAAAAAWHgAAbWItbXAtZ2FwLTA0NDEzMy92ZXJzaW9uUEsBAgAAAAAICAAAAAAAAMM5zIUoAAAAKAAAACcAAAAAAAAAAAAAAAAAkh4AAG1iLW1wLWdhcC0wNDQxMzMvLmRhdGEvc2VyaWFsaXphdGlvbl9pZFBLBgYsAAAAAAAAAB4DLQAAAAAAAAAAAAQAAAAAAAAABAAAAAAAAAAqAQAAAAAAADgfAAAAAAAAUEsGBwAAAABiIAAAAAAAAAEAAABQSwUGAAAAAAQABAAqAQAAOB8AAAAA" | ./matbench_mp_gap/mb-mp-gap-044133 | /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-017281 | /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-090025 | /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-101992 | /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-074642 | /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-047641 | /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-007800 | /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-066751 | /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-069606 | /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 |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA3NjY1OS9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQBTYq0brIPZHAAAAAAAAAABHv44sZzwkSIplXXENKEcAAAAAAAAAAEdAFcbMrkP1o0cAAAAAAAAAAGVdcQ4oR7+KXS4uZpq/RwAAAAAAAAAAR0A10j6axWiqZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAFNiwvHkUTVgBAAAAYnESR0AVxsyuQ/WjWAEAAABjcRNHQDXSPtp51hlYBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAVoyHk1TVwlgFAAAAZ2FtbWFxFkdAVoAAAAAAAFgGAAAAdm9sdW1lcRdHQINZAYljIZF1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABacnEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP8dCMpT9qI1HP9H8JDMQIrhHP8BTBjdRpeVlaBh9cSVYBgAAAG1hZ21vbXEmRwAAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAAWnJxKFgDAAAAeHl6cSldcSooRz/uQELhxm0rRz/4emXVrQ3sR0AGPf4kc1OWZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/6i9zWsCV3Uc/5wHt5nfupEc/6+s+ciuWh2VoGH1xL2gmRwAAAAAAAAAAc2gnWAIAAABacnEwaCldcTEoR0ARA3RTmyADR0APUGZxsWRQR0AzBrlJT3mvZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/6i9zWsCV3Uc/6P4SGYgRXEc/19Z85FctDWVoGH1xNmgmRwAAAAAAAAAAc2gnWAIAAABacnE3aCldcTgoR0ARCgufJrmqR0ARAf/MjT5MR0AgOzP32YqyZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/x0IylP2ojUc/zAe3md+6kEc/5BTBjdRpeWVoGH1xPWgmRwAAAAAAAAAAc2gnWAIAAABacnE+aCldcT8oRz/uC4iFaZ/1Rz/zEzOG2t1aR0ArYb4j4j2PZXV9cUAoaB1dcUF9cUIoaCBoIWgiSwF1YWgjXXFDKEc/yDew8U8NLkc/5yc7YwKDvkc/z/if5GFo/GVoGH1xRGgmRwAAAAAAAAAAc2gnWAIAAABacnFFaCldcUYoRz/vczkmSRgBR0APgyuhPrf6R0AVylxZb2neZXV9cUcoaB1dcUh9cUkoaCBoIWgiSwF1YWgjXXFKKEc/6fITw6w8tEc/0bGJOfr4hEc/6AHYBuelwWVoGH1xS2gmRwAAAAAAAAAAc2gnWAIAAABacnFMaCldcU0oR0AQ3RWLCsqoRz/4FNt2kmaYR0AwW+H3ggmqZXV9cU4oaB1dcU99cVAoaCBoIWgiSwF1YWgjXXFRKEc/6fITw6w8tEc/zJztjAoO+Ec/0AOwDc9LgmVoGH1xUmgmRwAAAAAAAAAAc2gnWAIAAABacnFTaCldcVQoR0AQ46zWlmRPRz/zeL3l9YSuR0AVywqofVVSZXV9cVUoaB1dcVZ9cVcoaCBoIWgiSwF1YWgjXXFYKEc/yDew8U8NLkc/6NjEnP18Qkc/5/4n+RhaP2VoGH1xWWgmRwAAAAAAAAAAc2gnWAIAAABacnFaaCldcVsoRz/vPn7J7ErMR0AQ6J00xpR4R0AwW7Zjvo7MZXV9cVwoaB1dcV19cV4oaCBoIWgiSwF1YWgjXXFfKEc/ygL6GuOxFUc/0ZQP12N+qkc/170I9PEuK2VoGH1xYGgmRwAAAAAAAAAAc2gnWAIAAABacnFhaCldcWIoRz/w3mzrpr5/Rz/37L3t+tXaR0AgLnxub4L0ZXV9cWMoaB1dcWR9cWUoaCBoIWgiSwF1YWgjXXFmKEc/6X9BeUcTu0c/5zX4FE5Aq0c/5CF7hYdo6mVoGH1xZ2gmRwAAAAAAAAAAc2gnWAIAAABacnFoaCldcWkoR0AQk+F06j4JR0APlzplioBZR0ArbnWtTEVMZXV9cWooaB1dcWt9cWwoaCBoIWgiSwF1YWgjXXFtKEc/6X9BeUcTu0c/6MoH67G/VUc/wIXuFh2jqmVoGH1xbmgmRwAAAAAAAAAAc2gnWAIAAABacnFvaCldcXAoR0AQmnjAddewR0AQ3pXSoLBIR0AGcNxKG3KOZXV9cXEoaB1dcXJ9cXMoaCBoIWgiSwF1YWgjXXF0KEc/ygL6GuOxFUc/zNfgUTkCq0c/696EeniXFmVoGH1xdWgmRwAAAAAAAAAAc2gnWAIAAABacnF2aCldcXcoRz/wxA+9eFfkRz/zoNtujRVrR0AzAF2EmnXQZXV9cXgoaB1dcXl9cXooaCBoIWgiSwF1YWgjXXF7KEc/6bz+9BFfTkc/0T8x5FOnHEc/7/ZNPqInMmVoGH1xfGgmRwAAAAAAAAAAc2gnWAIAAABacnF9aCldcX4oR0AQtzo8HWCMRz/3eTwmq/WvR0A1yJj3FBlFZXV9cX8oaB1dcYB9cYEoaCBoIWgiSwF1YWgjXXGCKEc/yQwEL7qCyEc/52BnDdYsckc/U2WCu7GccGVoGH1xg2gmRwAAAAAAAAAAc2gnWAIAAABacnGEaCldcYUoRz/wUQnO2jRyR0AP0PtJMfBvRz+XgFsnK254ZXV9cYYoaB1dcYd9cYgoaCBoIWgiSwF1YWgjXXGJKEc/yQwEL7qCyEc/6J+Y8inTjkc/4AmywV3YzmVoGH1ximgmRwAAAAAAAAAAc2gnWAIAAABacnGLaCldcYwoRz/wNqygq83XR0AQwbVgzPg9R0Al3f7IWP5hZXV9cY0oaB1dcY59cY8oaCBoIWgiSwF1YWgjXXGQKEc/6bz+9BFfTkc/zYGcN1ixyEc/3+yafUROZGVoGH1xkWgmRwAAAAAAAAAAc2gnWAIAAABacnGSaCldcZMoR0AQvdGHqPozRz/0FF012/WXR0AlvvNTYsnhZXV9cZQoaB1dcZV9cZYoaCBYAQAAAE5xl2giSwF1YWgjXXGYKEc/oLZ6evBhJ0c/ob/XGwRoRUc/3ATpqXxlrGVoGH1xmWgmR4AAAAAAAAAAc2gnaJdoKV1xmihHP8UNvtL1R3FHP8goU2isXvZHQCMbEVycgCFldX1xmyhoHV1xnH1xnShoIGiXaCJLAXVhaCNdcZ4oRz/u9JhYUPnuRz/u5AKOT7l8Rz/h/YsrQc0qZWgYfXGfaCZHgAAAAAAAAABzaCdol2gpXXGgKEdAFCMOuTxDbUdAFQWKEv6SrEdAKIHgvx9IIWV1fXGhKGgdXXGifXGjKGggaJdoIksBdWFoI11xpChHP+70mFhQ+e5HP+Eb/XGwRoRHP6/YsrQc0p9laBh9caVoJkeAAAAAAAAAAHNoJ2iXaCldcaYoR0AUKaYEx90UR0AHSVHkzruSRz/1fREizvu1ZXV9cacoaB1dcah9cakoaCBol2giSwF1YWgjXXGqKEc/oLZ6evBhJ0c/3cgFHJ9y90c/7gJ01L4y1mVoGH1xq2gmR4AAAAAAAAAAc2gnaJdoKV1xrChHP8Q61WGCEpxHQARER3e5L7NHQDR2p/uw9GZldX1xrShoHV1xrn1xryhoIGiXaCJLAXVhaCNdcbAoRz+jOWOj6VPBRz/gJLVxZnSpRz/l74Pmqe2lZWgYfXGxaCZHgAAAAAAAAABzaCdol2gpXXGyKEc/x+rpaekp/kdABfjC7g75m0dALepSFFg4A2V1fXGzKGgdXXG0fXG1KGggaJdoIksBdWFoI11xtihHP+7MacXBasRHP9+2lR0zFq5HP9Qg+DKsJLdlaBh9cbdoJkeAAAAAAAAAAHNoJ2iXaCldcbgoR0AUDCVkhKRYR0AFlNZuePGrR0AbZUAOxyB/ZXV9cbkoaB1dcbp9cbsoaCBol2giSwF1YWgjXXG8KEc/7sxpxcFqxEc/clq4szpUkEc/6hB8GVYSW2VoGH1xvWgmR4AAAAAAAAAAc2gnaJdoKV1xvihHQBQFjhj5CrJHP5j7H+WB/EZHQDHCb1EUfHRldX1xvyhoHV1xwH1xwShoIGiXaCJLAXVhaCNdccIoRz+jOWOj6VPBRz/v20qOmYtXRz/Hvg+ap7aTZWgYfXHDaCZHgAAAAAAAAABzaCdol2gpXXHEKEc/yL3S21xe1EdAFa3Rjl5zp0dAEDAm8yWesmV1fXHFKGgdXXHGfXHHKGggaJdoIksBdWFoI11xyChHP6a87l1rQBVHP+/cNqIoiWFHP9P6XsDVnaxlaBh9ccloJkeAAAAAAAAAAHNoJ2iXaCldccooRz/NHGcjCAW7R0AVrnI101FxR0AbPnUexfm/ZXV9ccsoaB1dccx9cc0oaCBol2giSwF1YWgjXXHOKEc/7pQxGilL/0c/ceSu67tPd0c/5gLQn5UxKmVoGH1xz2gmR4AAAAAAAAAAc2gnaJdoKV1x0ChHQBPimXa7rXtHP5haeHCkMmxHQC39t4xYy2JldX1x0ShoHV1x0n1x0yhoIGiXaCJLAXVhaCNdcdQoRz/ulDEaKUv/Rz/fuG1EURLCRz/IC0J+VMSoZWgYfXHVaCZHgAAAAAAAAABzaCdol2gpXXHWKEdAE+kwwkdHIkdABZYXvWKtPkdAEFbx4ybFcWV1fXHXKGgdXXHYfXHZKGggaJdoIksBdWFoI11x2ihHP6a87l1rQBVHP+AjyV3Xdp9HP+n9L2BqztZlaBh9cdtoJkeAAAAAAAAAAHNoJ2iXaCldcdwoRz/MSX2xlNDlR0AF94GfJT4IR0AxuLyVFDLEZXV9cd0oaB1dcd59cd8oaCBYAQAAAE9x4GgiSwF1YWgjXXHhKEc/79KN1u23/0c/4RMSG2CDo0c/3CcJLlH372VoGH1x4mgmR4AAAAAAAAAAc2gnaOBoKV1x4yhHQBS1Q8sJZTxHQAc9LjEgPxlHQCMrFOMnk39ldX1x5ChoHV1x5X1x5ihoIGjgaCJLAXVhaCNdcecoRz92uRSJJACQRz/d2dvJPvi5Rz/h7Hto1wQIZWgYfXHoaCZHgAAAAAAAAABzaCdo4GgpXXHpKEc/ljjkyohtFEdABFBrK2esLEdAKHHdOJQ0wmV1fXHqKGgdXXHrfXHsKGggaOBoIksBdWFoI11x7ShHP3a5FIkkAJBHP6ExIbYIOjZHP67Hto1wQIVlaBh9ce5oJkeAAAAAAAAAAHNoJ2jgaCldce8oRz+c0DBWIhPDRz/HZhgtxJdoRz/0/PTudmDEZXV9cfAoaB1dcfF9cfIoaCBo4GgiSwF1YWgjXXHzKEc/79KN1u23/0c/7uzt5J98XUc/7hOElyj7+GVoGH1x9GgmR4AAAAAAAAAAc2gnaOBoKV1x9ShHQBSurH99y5VHQBULm+zV0OhHQDR+qb72fhVldX1x9ihoHV1x931x+ChoIFgBAAAARnH5aCJLAXVhaCNdcfooRz/bLUoQGX2qRz/XbnXfKkd8Rz/QMNY2recEZWgYfXH7aCZHgAAAAAAAAABzaCdo+WgpXXH8KEdAAa2mCo7OG0c//+QdZyTOhUdAFg5xclVcimV1fXH9KGgdXXH+fXH/KGggaPloIksBdWFoI11yAAEAAChHP+JpWvfzQStHP+RIxRBq3EJHP+fnlOSpDH5laBh9cgEBAABoJkeAAAAAAAAAAHNoJ2j5aCldcgIBAAAoR0AH6VNVGQ02R0ALm4qo9YQDR0AwStyxSIz+ZXV9cgMBAAAoaB1dcgQBAAB9cgUBAAAoaCBo+WgiSwF1YWgjXXIGAQAAKEc/4mla9/NBK0c/67c675Ujvkc/z55TkqQx+WVoGH1yBwEAAGgmR4AAAAAAAAAAc2gnaPloKV1yCAEAAChHQAf2gewwQINHQBLcbbDrLnNHQBWG9Y+XYqZldX1yCQEAAChoHV1yCgEAAH1yCwEAAChoIGj5aCJLAXVhaCNdcgwBAAAoRz/bLUoQGX2qRz/BIxRBq3EHRz/oGGsbVvOCZWgYfXINAQAAaCZHgAAAAAAAAABzaCdo+WgpXXIOAQAAKEdAAaB3c3eazkc/51L36sY5gEdAMGy7qfgLd2V1fXIPAQAAKGgdXXIQAQAAfXIRAQAAKGggaPloIksBdWFoI11yEgEAAChHP9ySVYKTbbFHP9ff+SRun0VHP6fZviHkK2NlaBh9chMBAABoJkeAAAAAAAAAAHNoJ2j5aCldchQBAAAoR0ACm6+6PQlrR0AAP04LUtwsRz/wKKeJqtk8ZXV9chUBAAAoaB1dchYBAAB9chcBAAAoaCBo+WgiSwF1YWgjXXIYAQAAKEc/4bbVPrZJKEc/5BADbciwXkc/7oJkHeG9SmVoGH1yGQEAAGgmR4AAAAAAAAAAc2gnaPloKV1yGgEAAChHQAb7SaVq0eZHQAtOS1E1DxtHQDTL7pVDNo1ldX1yGwEAAChoHV1yHAEAAH1yHQEAAChoIGj5aCJLAXVhaCNdch4BAAAoRz/httU+tkkoRz/r7/ySN0+iRz/dBMg7w3qUZWgYfXIfAQAAaCZHgAAAAAAAAABzaCdo+WgpXXIgAQAAKEdABwh4PIIFM0dAEwMNXMto50dAI8Wej8EEcGV1fXIhAQAAKGgdXXIiAQAAfXIjAQAAKGggaPloIksBdWFoI11yJAEAAChHP9ySVYKTbbFHP8BADbciwXZHP+F9m+IeQrZlaBh9ciUBAABoJkeAAAAAAAAAAHNoJ2j5aCldciYBAAAoR0ACjoEjJdYeRz/mHfqLxGXbR0An11OL+sPSZXV9cicBAAAoaB1dcigBAAB9cikBAAAoaCBo+WgiSwF1YWgjXXIqAQAAKEc/3z0VlOeuJUc/18D703WIbUc/3I+euT4kqWVoGH1yKwEAAGgmR4AAAAAAAAAAc2gnaPloKV1yLAEAAChHQARN7RSajthHQAAqN0iSuIVHQCN2N/f3QQtldX1yLQEAAChoHV1yLgEAAH1yLwEAAChoIGj5aCJLAXVhaCNdcjABAAAoRz/gYXU1jCjuRz/kH4IWRTvJRz/huDCjYO2sZWgYfXIxAQAAaCZHgAAAAAAAAABzaCdo+WgpXXIyAQAAKEdABUkMSw1Me0dAC2NiE/UywUdAKCa6I8SHOGV1fXIzAQAAKGgdXXI0AQAAfXI1AQAAKGggaPloIksBdWFoI11yNgEAAChHP+BhdTWMKO5HP+vgfem6xDdHP6uDCjYO2rllaBh9cjcBAABoJkeAAAAAAAAAAHNoJ2j5aCldcjgBAAAoR0AFVjriJH/IR0AS+IH7a1cURz/yo9xH+PRlZXV9cjkBAAAoaB1dcjoBAAB9cjsBAAAoaCBo+WgiSwF1YWgjXXI8AQAAKEc/3z0VlOeuJUc/wH4IWRTvJUc/7kfPXJ8SVGVoGH1yPQEAAGgmR4AAAAAAAAAAc2gnaPloKV1yPgEAAChHQARAvn2DW4pHP+ZyVZbE9HhHQDSkO0leVNpldX1yPwEAAChoHV1yQAEAAH1yQQEAAChoIGj5aCJLAXVhaCNdckIBAAAoRz/h6F0GQGDuRz/A9OmL9UE1Rz/DKa76/7sMZWgYfXJDAQAAaCZHgAAAAAAAAABzaCdo+WgpXXJEAQAAKEdAB1ECd6jGQ0c/5xQiPScKykdAChGhDHZY/2V1fXJFAQAAKGgdXXJGAQAAfXJHAQAAKGggaPloIksBdWFoI11ySAEAAChHP9wvRfN/PiRHP+vCxZ0Cr7NHP+s1lEFAET1laBh9ckkBAABoJkeAAAAAAAAAAHNoJ2j5aCldckoBAAAoR0ACRfbn/xUPR0AS5EhmnxRKR0AyjETsTxkBZXV9cksBAAAoaB1dckwBAAB9ck0BAAAoaCBo+WgiSwF1YWgjXXJOAQAAKEc/3C9F838+JEc/5D06Yv1QTUc/1msogoAiemVoGH1yTwEAAGgmR4AAAAAAAAAAc2gnaPloKV1yUAEAAChHQAJTJX8WSFxHQAuL1T2NuFVHQB6MlnuxkrFldX1yUQEAAChoHV1yUgEAAH1yUwEAAChoIGj5aCJLAXVhaCNdclQBAAAoRz/h6F0GQGDuRz/XhYs6BV9lRz/kymu+v+7DZWgYfXJVAQAAaCZHgAAAAAAAAABzaCdo+WgpXXJWAQAAKEdAB0PT4JGS9UdAAAHEHvoy8EdALFam3eL+6mV1fXJXAQAAKGgdXXJYAQAAfXJZAQAAKGggaPloIksBdWFoI11yWgEAAChHP+I/nQ5uLNlHP70Rzgi3CMBHP9Y/dXZOu9BlaBh9clsBAABoJkeAAAAAAAAAAHNoJ2j5aCldclwBAAAoR0AHvXhHEQ8VRz/jyEdQXg6OR0AeTwejSk91ZXV9cl0BAAAoaB1dcl4BAAB9cl8BAAAoaCBo+WgiSwF1YWgjXXJgAQAAKEc/24DF4yOmTUc/7F3GPuke6Ec/5OBFRNiiGGVoGH1yYQEAAGgmR4AAAAAAAAAAc2gnaPloKV1yYgEAAChHQAHZgRiWzDtHQBNNw8Q4M9FHQCx1bkoWoIhldX1yYwEAAChoHV1yZAEAAH1yZQEAAChoIGj5aCJLAXVhaCNdcmYBAAAoRz/bgMXjI6ZNRz/jojnBFuEYRz/DgRUTYohgZWgYfXJnAQAAaCZHgAAAAAAAAABzaCdo+WgpXXJoAQAAKEdAAeavr63/iUdACrjeglt5R0dACoy+vUTfdWV1fXJpAQAAKGgdXXJqAQAAfXJrAQAAKGggaPloIksBdWFoI11ybAEAAChHP+I/nQ5uLNlHP9i7jH3SPdBHP+sfursnXehlaBh9cm0BAABoJkeAAAAAAAAAAHNoJ2j5aCldcm4BAAAoR0AHsEmv+dvIR0AA1LraLHH/R0AyfOE2NUgyZXVldVgGAAAAdGFyZ2V0cm8BAABHQAKqzZ6D5CZ1LlBLBwgchFVZ6BoAAOgaAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABoAEABtYi1tcC1nYXAtMDc2NjU5L2J5dGVvcmRlckZCDABaWlpaWlpaWlpaWlpsaXR0bGVQSwcIhT3jGQYAAAAGAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAYADQAbWItbXAtZ2FwLTA3NjY1OS92ZXJzaW9uRkIwAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjMKUEsHCNGeZ1UCAAAAAgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAJwApAG1iLW1wLWdhcC0wNzY2NTkvLmRhdGEvc2VyaWFsaXphdGlvbl9pZEZCJQBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMDYzNjQ1NzczNzk0NjQwMTA1MTMwMDAwMDAxNzE4ODU0MzA0MTk3M1BLBwiGkLYuKAAAACgAAABQSwECAAAAAAgIAAAAAAAAHIRVWegaAADoGgAAGQAAAAAAAAAAAAAAAAAAAAAAbWItbXAtZ2FwLTA3NjY1OS9kYXRhLnBrbFBLAQIAAAAACAgAAAAAAACFPeMZBgAAAAYAAAAaAAAAAAAAAAAAAAAAADgbAABtYi1tcC1nYXAtMDc2NjU5L2J5dGVvcmRlclBLAQIAAAAACAgAAAAAAADRnmdVAgAAAAIAAAAYAAAAAAAAAAAAAAAAAJYbAABtYi1tcC1nYXAtMDc2NjU5L3ZlcnNpb25QSwECAAAAAAgIAAAAAAAAhpC2LigAAAAoAAAAJwAAAAAAAAAAAAAAAAASHAAAbWItbXAtZ2FwLTA3NjY1OS8uZGF0YS9zZXJpYWxpemF0aW9uX2lkUEsGBiwAAAAAAAAAHgMtAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAACoBAAAAAAAAuBwAAAAAAABQSwYHAAAAAOIdAAAAAAAAAQAAAFBLBQYAAAAABAAEACoBAAC4HAAAAAA=" | ./matbench_mp_gap/mb-mp-gap-076659 | /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-028392 | /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-071474 | /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-106089 | /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-051827 | /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-009791 | /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-077986 | /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-048321 | /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-027870 | /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-085278 | /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-011588 | /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-095840 | /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-045182 | /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-084972 | /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 |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA5ODEwMy9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQBcxcrlbAAFHAAAAAAAAAABHQAPASmAgfCFlXXENKEdABzFyuVsAAUdAHZHBXABb8Ec/88BKYCB8IWVdcQ4oRz9pffsClTCpRwAAAAAAAAAAR0AgEmB5Z3UEZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAGTVHZ7rr1VgBAAAAYnESR0AgEmCNmcE6WAEAAABjcRNHQCASYI2fBLtYBQAAAGFscGhhcRRHQFRJ8PT7i+1YBAAAAGJldGFxFUdAULp5nCKMq1gFAAAAZ2FtbWFxFkdAULp5nDyrW1gGAAAAdm9sdW1lcRdHQHWGKQhPaGJ1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAEAAABPcSFYBAAAAG9jY3VxIksBdWFYAwAAAGFiY3EjXXEkKEc/3eiXLa6O9Ec/6Qj9dOBRukc/6Qj9dOBRumVoGH1xJVgGAAAAbWFnbW9tcSZHAAAAAAAAAABzWAUAAABsYWJlbHEnaCFYAwAAAHh5enEoXXEpKEdAE+vDEFk9+0dAFyIttJesCUdAINAScPZB8GV1fXEqKGgdXXErfXEsKGggaCFoIksBdWFoI11xLShHP+gCtvRIZsxHP8vcCix+uRlHP+kI/XTgUbplaBh9cS5oJkcAAAAAAAAAAHNoJ2ghaChdcS8oR0AT77JzRG7YRz/5vk6dor+cR0Ag0OjpgDfsZXV9cTAoaB1dcTF9cTIoaCBoIWgiSwF1YWgjXXEzKEc/6AK29EhmzEc/6Qj9dOBRukc/y9wKLH65GWVoGH1xNGgmRwAAAAAAAAAAc2gnaCFoKF1xNShHQBp6UiG9FKxHQBciLbSXrAlHQBJE5nEC4kpldX1xNihoHV1xN31xOChoIGghaCJLAXVhaCNdcTkoRz+gZGezmHNURz/L3AosfrkZRz/L3AosfrkZZWgYfXE6aCZHAAAAAAAAAABzaCdoIWgoXXE7KEc/6ieADJYC0Uc/+b5OnaK/nEdAAMYonG0ifGV1fXE8KGgdXXE9fXE+KGggWAIAAABBZ3E/aCJLAXVhaCNdcUAoRz/sgupQQF9BRz/L6K1og3cYRz/gAAAAAAAAZWgYfXFBaCZHAAAAAAAAAABzaCdYAgAAAEFncUJoKF1xQyhHQBczCpcZF5pHP/nJ/BwL2LZHQBnyhaijn5NldX1xRChoHV1xRX1xRihoIGg/aCJLAXVhaCNdcUcoRz/jfRWvv6C/Rz/pBdSl3yI6Rz/gAAAAAAAAZWgYfXFIaCZHAAAAAAAAAABzaCdYAgAAAEFncUloKF1xSihHQBczCpr9Ow5HQBcfQlT9ZcNHQBnyhapLxpZldX1xSyhoHV1xTH1xTShoIGg/aCJLAXVhaCNdcU4oRz/jfRWvv6C/Rz/gAAAAAAAARz/pBdSl3yI6ZWgYfXFPaCZHAAAAAAAAAABzaCdYAgAAAEFncVBoKF1xUShHQBPu346DbBFHQA2RwVwAW/BHQCDPJdyNJ7BldX1xUihoHV1xU31xVChoIGg/aCJLAXVhaCNdcVUoRz/sgupQQF9BRz/gAAAAAAAARz/L6K1og3cYZWgYfXFWaCZHAAAAAAAAAABzaCdYAgAAAEFncVdoKF1xWChHQBp3NaOS5pdHQA2RwVwAW/BHQBJGv5nVFspldX1xWShoHV1xWn1xWyhoIFgCAAAAQ3NxXGgiSwF1YWgjXXFdKEc/4dwLY+FQ6Ec/yJQ7zDP1pkc/yJQ7zDP1pmVoGH1xXmgmRwAAAAAAAAAAc2gnWAIAAABDc3FfaChdcWAoR0AOWN0fiB3XRz/2tkpkt3wyR0AJQ6qs6uBGZXV9cWEoaB1dcWJ9cWMoaCBoXGgiSwF1YWgjXXFkKEc/z/uWpEbGuUc/6drxDPMCl0c/yJQ7zDP1pmVoGH1xZWgmRwAAAAAAAAAAc2gnWAIAAABDc3FmaChdcWcoR0AOVaqUdaSkR0AX5C7C0nzkR0AJQk4kfEVEZXV9cWgoaB1dcWl9cWooaCBoXGgiSwF1YWgjXXFrKEc/7iYpSftLu0c/6drxDPMCl0c/6drxDPMCl2VoGH1xbGgmRwAAAAAAAAAAc2gnWAIAAABDc3FtaChdcW4oR0AfOz/n24BXR0AX5C7C0nzkR0AjofIgWKHEZXV9cW8oaB1dcXB9cXEoaCBoXGgiSwF1YWgjXXFyKEc/z/uWpEbGuUc/yJQ7zDP1pkc/6drxDPMCl2VoGH1xc2gmRwAAAAAAAAAAc2gnWAIAAABDc3F0aChdcXUoR0AAEGfR7od2Rz/2tkpkt3wyR0AdYxDMabf2ZXVldVgGAAAAdGFyZ2V0cXZHP/cqmTC+De51LlBLBwhr5pGUswcAALMHAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABoABQBtYi1tcC1nYXAtMDk4MTAzL2J5dGVvcmRlckZCAQBabGl0dGxlUEsHCIU94xkGAAAABgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGAA0AG1iLW1wLWdhcC0wOTgxMDMvdmVyc2lvbkZCMABaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlozClBLBwjRnmdVAgAAAAIAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAACcAKQBtYi1tcC1nYXAtMDk4MTAzLy5kYXRhL3NlcmlhbGl6YXRpb25faWRGQiUAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjA2MzY0NTc3Mzc5NDY0MDEwNTEzMDAwMDAwMjE0MTA3NzgxOTk4MDlQSwcIazJb+CgAAAAoAAAAUEsBAgAAAAAICAAAAAAAAGvmkZSzBwAAswcAABkAAAAAAAAAAAAAAAAAAAAAAG1iLW1wLWdhcC0wOTgxMDMvZGF0YS5wa2xQSwECAAAAAAgIAAAAAAAAhT3jGQYAAAAGAAAAGgAAAAAAAAAAAAAAAAADCAAAbWItbXAtZ2FwLTA5ODEwMy9ieXRlb3JkZXJQSwECAAAAAAgIAAAAAAAA0Z5nVQIAAAACAAAAGAAAAAAAAAAAAAAAAABWCAAAbWItbXAtZ2FwLTA5ODEwMy92ZXJzaW9uUEsBAgAAAAAICAAAAAAAAGsyW/goAAAAKAAAACcAAAAAAAAAAAAAAAAA0ggAAG1iLW1wLWdhcC0wOTgxMDMvLmRhdGEvc2VyaWFsaXphdGlvbl9pZFBLBgYsAAAAAAAAAB4DLQAAAAAAAAAAAAQAAAAAAAAABAAAAAAAAAAqAQAAAAAAAHgJAAAAAAAAUEsGBwAAAACiCgAAAAAAAAEAAABQSwUGAAAAAAQABAAqAQAAeAkAAAAA" | ./matbench_mp_gap/mb-mp-gap-098103 | /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-074601 | /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-042661 | /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-082528 | /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-024259 | /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-070392 | /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 |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA1Mjk2NC9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQBho7zLTO/1Hv1c1O0svqTtHP2i0fHPu5SZlXXENKEc/csineSs6FUdAJbk3kJAFnEdAJdVr5NWCKGVdcQ4oRz9r+F52Ag/QR7/WyHdSnNrtR0AmjOSEeXbkZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAGGjvb9154lgBAAAAYnESR0AuzLe5sNhMWAEAAABjcRNHQCaPxPvIYqFYBQAAAGFscGhhcRRHQEdU67iGogdYBAAAAGJldGFxFUdAVn0NUp6uXlgFAAAAZ2FtbWFxFkdAVn45SChst1gGAAAAdm9sdW1lcRdHQIgYmTUAg6N1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAEAAABZcSFYBAAAAG9jY3VxIksBdWFYAwAAAGFiY3EjXXEkKEc/z5DTd2DflEc/2jZAQ2cH90c/7dU8osiXXmVoGH1xJVgGAAAAbWFnbW9tcSZHAAAAAAAAAABzWAUAAABsYWJlbHEnaCFYAwAAAHh5enEoXXEpKEc/+CjcaLV800dAEHcd5nJakUdALfeK8w1IIGV1fXEqKGgdXXErfXEsKGggaCFoIksBdWFoI11xLShHP9Ao2KbKr5FHP+0sg7w3qTpHP+3VRnNW5L5laBh9cS5oJkcAAAAAAAAAAHNoJ2ghaChdcS8oRz/4xWnJF0yyR0AjI/dvR3fTR0A0dxO9Vt4gZXV9cTAoaB1dcTF9cTIoaCBoIWgiSwF1YWgjXXEzKEc/z2tNVfQoW0c/2hJ4s0URV0c/3CZRjecz1mVoGH1xNGgmRwAAAAAAAAAAc2gnaCFoKF1xNShHP/gFTzs8VYJHQBESVps4BSNHQCLQhm1V1jpldX1xNihoHV1xN31xOChoIGghaCJLAXVhaCNdcTkoRz/QcRxtHhCMRz/s/M4nFOzMRz/cXaRVtT47ZWgYfXE6aCZHAAAAAAAAAABzaCdoIWgoXXE7KEc/+Sy2bQBxCkdAI1y3JEc5lkdALcZD7EQnlGV1fXE8KGgdXXE9fXE+KGggaCFoIksBdWFoI11xPyhHP+fcPR0W5yJHP7dYdTcOtPpHP69c/ARy1mFlaBh9cUBoJkcAAAAAAAAAAHNoJ2ghaChdcUEoR0ASNBBsKUmpRz/u9w99NZf1Rz/7A/hUzSPgZXV9cUIoaB1dcUN9cUQoaCBoIWgiSwF1YWgjXXFFKEc/6CD/I7cUVEc/uPqoqCpWFUc/4gwzf4lNG2VoGH1xRmgmRwAAAAAAAAAAc2gnaCFoKF1xRyhHQBJqTQ2sqXFHP+t0rPIEQclHQB20zUaN01BldX1xSChoHV1xSX1xSihoIGghaCJLAXVhaCNdcUsoRz/oNEW8+JlZRz/i9Lve6NkdRz+vKtEO+8ZfZWgYfXFMaCZHAAAAAAAAAABzaCdoIWgoXXFNKEdAEnmRuumAXkdAGaVcmHinw0dAHJ87mE3QdGV1fXFOKGgdXXFPfXFQKGggaCFoIksBdWFoI11xUShHP+fQLSQleTZHP+MZrBNux7RHP+IXcE7ygWdlaBh9cVJoJkcAAAAAAAAAAHNoJ2ghaChdcVMoR0ASLwAB/HHqR0AZH6F9faNkR0ApySdPLNNUZXV9cVQoaB1dcVV9cVYoaCBYAgAAAEN1cVdoIksBdWFoI11xWChHP+Gb0OvrSxJHP8gv5kyloA1HP8tEhkHOAKllaBh9cVloJkcAAAAAAAAAAHNoJ1gCAAAAQ3VxWmgoXXFbKEdACuB5GgvzDUc//50L5E/t50dAEd2oMMBl5GV1fXFcKGgdXXFdfXFeKGggaFdoIksBdWFoI11xXyhHP+4+QtvHvG1HP+YlaBlu5ulHP8rpVBcDfLdlaBh9cWBoJkcAAAAAAAAAAHNoJ1gCAAAAQ3VxYWgoXXFiKEdAFxXatzHZtkdAHcNzGufeOEdAI9tvQNHh/GV1fXFjKGgdXXFkfXFlKGggWAIAAABUZXFmaCJLAXVhaCNdcWcoRz9jKxrg1u/mRz/V3PabUlZkRz/P6YwKusQMZWgYfXFoaCZHAAAAAAAAAABzaCdYAgAAAFRlcWloKF1xaihHP5EZAcBCjjpHQAz5VOfxJr9HQBopXSg/skRldX1xayhoHV1xbH1xbShoIGhmaCJLAXVhaCNdcW4oR79fEPIVsZgTRz/qzioPSBx5Rz/QH90VGWy5ZWgYfXFvaCZHAAAAAAAAAABzaCdYAgAAAFRlcXBoKF1xcShHv3wjGvfzD89HQCIEhrWuNU9HQCf4hMjs13ZldX1xcihoHV1xc31xdChoIGhmaCJLAXVhaCNdcXUoRz/QGdFM5DRIRz+OJN0vGp++Rz/i0RLXngwaZWgYfXF2aCZHAAAAAAAAAABzaCdYAgAAAFRlcXdoKF1xeChHP/iY0nl50tpHv6mA+YgB78BHQBsqfNCNNTRldX1xeShoHV1xen1xeyhoIGhmaCJLAXVhaCNdcXwoRz/Ps8t0BzjZRz/geYVcy7LxRz/iyvmzirF0ZWgYfXF9aCZHAAAAAAAAAABzaCdYAgAAAFRlcX5oKF1xfyhHP/hAsB3Ko6lHQBWHxPkPSo1HQCh8S7s6iQ5ldX1xgChoHV1xgX1xgihoIGhmaCJLAXVhaCNdcYMoRz/P4koMk4w5Rz/C4OZJy3sTRz+2AdM+1tVkZWgYfXGEaCZHAAAAAAAAAABzaCdYAgAAAFRlcYVoKF1xhihHP/hWPkznrJpHP/ki7UavxbBHQASkHMzTLS9ldX1xhyhoHV1xiH1xiShoIGhmaCJLAXVhaCNdcYooRz/QF7X0biZ5Rz/kzWrs3eRMRz+1vwg+EgltZWgYfXGLaCZHAAAAAAAAAABzaCdYAgAAAFRlcYxoKF1xjShHP/iagb8BMDhHQBwfFzlhJxFHQCAcUZppQCxldX1xjihoHV1xj31xkChoIGhmaCJLAXVhaCNdcZEoRz/gDJP3mSkxRz/VoirNMyQaRz/P9YituQtPZWgYfXGSaCZHAAAAAAAAAABzaCdYAgAAAFRlcZNoKF1xlChHQAiBC09LLcBHQAynyce5hdNHQBoHAyaYjGhldX1xlShoHV1xln1xlyhoIGhmaCJLAXVhaCNdcZgoRz/gGdqyErc9Rz/FKhB0wkm8Rz/n5Enb7CSBZWgYfXGZaCZHAAAAAAAAAABzaCdYAgAAAFRlcZpoKF1xmyhHQAiXJt1cXkhHP/h4onUEWYlHQCRzG5SWbWxldX1xnChoHV1xnX1xnihoIGhmaCJLAXVhaCNdcZ8oRz/f29mwCh5nRz/q69U10fP+Rz/QBWuEiGVqZWgYfXGgaCZHAAAAAAAAAABzaCdYAgAAAFRlcaFoKF1xoihHQAhXAsUDqoBHQCIYmUi01U5HQCgENz1s6gVldX1xoyhoHV1xpH1xpShoIGhmaCJLAXVhaCNdcaYoRz/fzE2LeRpzRz/lIuqF8ER2Rz/oIsljYM11ZWgYfXGnaCZHAAAAAAAAAABzaCdYAgAAAFRlcahoKF1xqShHQAhM+hcXCLVHQBue1pKjr7ZHQC9u1Pqaw4xldX1xqihoHV1xq31xrChoIGhmaCJLAXVhaCNdca0oRz/n/juPeC2ORz/e7NvWKhitRz/a1cjfV2jzZWgYfXGuaCZHAAAAAAAAAABzaCdYAgAAAFRlca9oKF1xsChHQBJRFnVpVhNHQBRkgDF453JHQCQCkXXT1y5ldX1xsShoHV1xsn1xsyhoIGhmaCJLAXVhaCNdcbQoRz/oE2kYyE3iRz/WTUMfDo4NRz/tM38zZt+zZWgYfXG1aCZHAAAAAAAAAABzaCdYAgAAAFRlcbZoKF1xtyhHQBJiVYwckIJHQAusGV2//alHQCww22+9ccJldX1xuChoHV1xuX1xuihoIGhmaCJLAXVhaCNdcbsoRz/oDazGnQfjRz/va7/h18vZRz/a6OpkuDtwZWgYfXG8aCZHAAAAAAAAAABzaCdYAgAAAFRlcb1oKF1xvihHQBJfNpFqij9HQCUHZQUY1ABHQC7svFn6zNxldX1xvyhoHV1xwH1xwShoIGhmaCJLAXVhaCNdccIoRz/n50pnAWvmRz/rMoKkCbULRz/tMgEUJyllZWgYfXHDaCZHAAAAAAAAAABzaCdYAgAAAFRlccRoKF1xxShHQBJDCIKviWNHQCHPvBeC1MpHQDORTnR4Wm1ldX1xxihoHV1xx31xyChoIGhmaCJLAXVhaCNdcckoRz9ws+IaO+tpRz/E1jkyJcIGRz/oCeMtt0hWZWgYfXHKaCZHAAAAAAAAAABzaCdYAgAAAFRlcctoKF1xzChHP5zfbgOaMmpHP/gDAW278Y5HQCR+iCWsSWVldX1xzShoHV1xzn1xzyhoIGhmaCJLAXVhaCNdcdAoRz/v6GO23qPlRz/lObFW+o2lRz/n9tCsVV4AZWgYfXHRaCZHAAAAAAAAAABzaCdYAgAAAFRlcdJoKF1x0yhHQBhcqDpeeP9HQBu+/lJdFOlHQC9gKIOCsPRldWV1WAYAAAB0YXJnZXRx1EcAAAAAAAAAAHUuUEsHCIRlY3wnDgAAJw4AAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgARAG1iLW1wLWdhcC0wNTI5NjQvYnl0ZW9yZGVyRkINAFpaWlpaWlpaWlpaWlpsaXR0bGVQSwcIhT3jGQYAAAAGAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAYADQAbWItbXAtZ2FwLTA1Mjk2NC92ZXJzaW9uRkIwAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjMKUEsHCNGeZ1UCAAAAAgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAJwApAG1iLW1wLWdhcC0wNTI5NjQvLmRhdGEvc2VyaWFsaXphdGlvbl9pZEZCJQBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMDYzNjQ1NzczNzk0NjQwMTA1MTMwMDAwMDAxOTI1OTIyODEzMDcxMFBLBwit65wjKAAAACgAAABQSwECAAAAAAgIAAAAAAAAhGVjfCcOAAAnDgAAGQAAAAAAAAAAAAAAAAAAAAAAbWItbXAtZ2FwLTA1Mjk2NC9kYXRhLnBrbFBLAQIAAAAACAgAAAAAAACFPeMZBgAAAAYAAAAaAAAAAAAAAAAAAAAAAHcOAABtYi1tcC1nYXAtMDUyOTY0L2J5dGVvcmRlclBLAQIAAAAACAgAAAAAAADRnmdVAgAAAAIAAAAYAAAAAAAAAAAAAAAAANYOAABtYi1tcC1nYXAtMDUyOTY0L3ZlcnNpb25QSwECAAAAAAgIAAAAAAAAreucIygAAAAoAAAAJwAAAAAAAAAAAAAAAABSDwAAbWItbXAtZ2FwLTA1Mjk2NC8uZGF0YS9zZXJpYWxpemF0aW9uX2lkUEsGBiwAAAAAAAAAHgMtAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAACoBAAAAAAAA+A8AAAAAAABQSwYHAAAAACIRAAAAAAAAAQAAAFBLBQYAAAAABAAEACoBAAD4DwAAAAA=" | ./matbench_mp_gap/mb-mp-gap-052964 | /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-034583 | /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-044887 | /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-061506 | /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-065213 | /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-078536 | /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.