pt unknown | __key__ stringlengths 12 34 | __url__ stringclasses 2
values |
|---|---|---|
"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" | ./matbench_mp_gap/mb-mp-gap-101468 | /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-037684 | /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-049627 | /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-087050 | /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-015550 | /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 |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA2MjAxNC9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQCIixrbeIwtHv3UcZGSugFxHAAAAAAAAAABlXXENKEfAEiVpecE3F0dAHydw8gWWbUcAAAAAAAAAAGVdcQ4oRwAAAAAAAAAARwAAAAAAAAAAR0AJdPEMnRxbZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAIiLG6AQHJlgBAAAAYnESR0AiBtqpCqPZWAEAAABjcRNHQAl08QydHFtYBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAXhAeUXRHw1gGAAAAdm9sdW1lcRdHQGwVO9dQ99V1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABNZ3EhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP5aEX6CkeslHP9dWuIjzA0JHP+gAAAAAAABlaBh9cSVYBgAAAG1hZ21vbXEmRwAAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAATWdxKFgDAAAAeHl6cSldcSooR7/3R2Zulb0qR0AGuItqNzMGR0ADF7TJddVEZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/1beTPzd4Z0c/7uO4oZydWkc/6AAAAAAAAGVoGH1xL2gmRwAAAAAAAAAAc2gnWAIAAABNZ3EwaCldcTEoR7/01WD0kEAaR0AeEOL0jeOER0ADF7TJddVEZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/14mafcUnvUc/1aDNCd57IEc/0AAAAAAAAGVoGH1xNmgmRwAAAAAAAAAAc2gnWAIAAABNZ3E3aCldcTgoRz/81HP6MennR0AFCo0l7JQ5Rz/pdPEMnRxbZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/5B3XW8b7J0c/5PQVwV1X9Uc/6AAAAAAAAGVoGH1xPWgmRwAAAAAAAAAAc2gnWAIAAABNZ3E+aCldcT8oR0AF1wADE30pR0AUYvcm+HszR0ADF7TJddVEZXV9cUAoaB1dcUF9cUIoaCBoIWgiSwF1YWgjXXFDKEc/5MI98tTJRkc/lbiBEGDLR0c/0AAAAAAAAGVoGH1xRGgmRwAAAAAAAAAAc2gnWAIAAABNZ3FFaCldcUYoR0AXJRrZn8tvRz/Et/NxRX/hRz/pdPEMnRxbZXV9cUcoaB1dcUh9cUkoaCBoIWgiSwF1YWgjXXFKKEc/7viWHo/jDEc/5CDq3CxmOkc/0AAAAAAAAGVoGH1xS2gmRwAAAAAAAAAAc2gnWAIAAABNZ3FMaCldcU0oR0AXsO1DngNwR0ATk5cHrWOkRz/pdPEMnRxbZXV9cU4oaB1dcU99cVAoaCBYAQAAAEJxUWgiSwF1YWgjXXFSKEc/1Oky3vp21Ec/5RvVg6qZ8kc/0AAAAAAAAGVoGH1xU2gmRwAAAAAAAAAAc2gnWAEAAABCcVRoKV1xVShHv55vnrF0xABHQBSLQdH2DARHP+l08QydHFtldX1xVihoHV1xV31xWChoIGhRaCJLAXVhaCNdcVkoRz/lPkjAYzH+Rz/VNIFm8tNHRz/oAAAAAAAAZWgYfXFaaCZHAAAAAAAAAABzaCdoVGgpXXFbKEdAEhEUVli8JkdABJ3+VSSxy0dAAxe0yXXVRGV1fXFcKGgdXXFdfXFeKGggWAEAAABIcV9oIksBdWFoI11xYChHP8I9E0ZY1NhHP8Lm+nV8g99HP+gAAAAAAABlaBh9cWFoJkcAAAAAAAAAAHNoJ2hfaCldcWIoRz/j6Kd1uVoYRz/yZAzJnqwlR0ADF7TJddVEZXV9cWMoaB1dcWR9cWUoaCBoX2giSwF1YWgjXXFmKEc/6jFTNC+Hgkc/74OJvS2dckc/6AAAAAAAAGVoGH1xZ2gmRwAAAAAAAAAAc2gnaF9oKV1xaChHQAejLJAtcfJHQB6p8xLhMiBHQAMXtMl11URldX1xaShoHV1xan1xayhoIGhfaCJLAXVhaCNdcWwoRz/re1gVastQRz/qnyvKCExVRz/QAAAAAAAAZWgYfXFtaCZHAAAAAAAAAABzaCdoX2gpXXFuKEdAEA3WF+e3YkdAGeZ6Coslf0c/6XTxDJ0cW2V1fXFvKGgdXXFwfXFxKGggaF9oIksBdWFoI11xcihHP++LT27THHJHP8N/NhYRj0pHP9AAAAAAAABlaBh9cXNoJkcAAAAAAAAAAHNoJ2hfaCldcXQoR0AgftlcKdd9Rz/y5nTXAdLoRz/pdPEMnRxbZXV9cXUoaB1dcXZ9cXcoaCBYAQAAAE9xeGgiSwF1YWgjXXF5KEc/w0M71Gx+WEc/4YEl9TIbsUc/0AAAAAAAAGVoGH1xemgmRwAAAAAAAAAAc2gnaHhoKV1xeyhHv/He8BZvCY1HQBEJ5KDLkCdHP+l08QydHFtldX1xfChoHV1xfX1xfihoIGh4aCJLAXVhaCNdcX8oRz/Y8E89qttgRz/q0Os/fpsRRz/QAAAAAAAAZWgYfXGAaCZHAAAAAAAAAABzaCdoeGgpXXGBKEe/0Sl4L0ng2EdAGhlir6+g7kc/6XTxDJ0cW2V1fXGCKGgdXXGDfXGEKGggaHhoIksBdWFoI11xhShHP8jPKR2FoetHP9Fjm1rk0v5HP+gAAAAAAABlaBh9cYZoJkcAAAAAAAAAAHNoJ2h4aCldcYcoRz/gzIWweLkmR0AA6+GGxeiAR0ADF7TJddVEZXV9cYgoaB1dcYl9cYooaCBoeGgiSwF1YWgjXXGLKEc/3Bz1rxkyrEc/4xhgI4E5e0c/0AAAAAAAAGVoGH1xjGgmRwAAAAAAAAAAc2gnaHhoKV1xjShHP/RrOV5uWDpHQBKU1L70A2ZHP+l08QydHFtldX1xjihoHV1xj31xkChoIGh4aCJLAXVhaCNdcZEoRz/mSQj4TCx+Rz/tBolGkDI9Rz/oAAAAAAAAZWgYfXGSaCZHAAAAAAAAAABzaCdoeGgpXXGTKEdAAZn7PTbLpkdAHD5ueSNdu0dAAxe0yXXVRGV1fXGUKGgdXXGVfXGWKGggaHhoIksBdWFoI11xlyhHP+GaMTP/i+dHP9k0w0tuvk9HP+gAAAAAAABlaBh9cZhoJkcAAAAAAAAAAHNoJ2h4aCldcZkoR0AJnE1PdFxuR0AIhGAPLvaYR0ADF7TJddVEZXV9cZooaB1dcZt9cZwoaCBoeGgiSwF1YWgjXXGdKEc/6Xbh3qzJIUc/5qOC3D3Y/0c/0AAAAAAAAGVoGH1xnmgmRwAAAAAAAAAAc2gnaHhoKV1xnyhHQBAGpbLWu15HQBYGGs1SAO5HP+l08QydHFtldX1xoChoHV1xoX1xoihoIGh4aCJLAXVhaCNdcaMoRz/jI55VQCNcRz/DqLfaIXQZRz/oAAAAAAAAZWgYfXGkaCZHAAAAAAAAAABzaCdoeGgpXXGlKEdAEugysPfSoEc/8xcMw3cWtEdAAxe0yXXVRGV1fXGmKGgdXXGnfXGoKGggaHhoIksBdWFoI11xqShHP+rh7bYmbSdHP9xt4hCA1qpHP+gAAAAAAABlaBh9capoJkcAAAAAAAAAAHNoJ2h4aCldcasoR0AWaRNveOb9R0ALpJ80GQkgR0ADF7TJddVEZXV9cawoaB1dca19ca4oaCBoeGgiSwF1YWgjXXGvKEc/7QId4hMwCUc/yQHmXxoW2Ec/0AAAAAAAAGVoGH1xsGgmRwAAAAAAAAAAc2gnaHhoKV1xsShHQB1V2tZC7yVHP/hFhqA10jpHP+l08QydHFtldX1xsihoHV1xs31xtChoIFgBAAAARnG1aCJLAXVhaCNdcbYoRz+3iRJi2RMsRz/pSHBBW5T8Rz/oAAAAAAAAZWgYfXG3aCZHAAAAAAAAAABzaCdotWgpXXG4KEfABgFFaAIK6UdAGJzaDjLE80dAAxe0yXXVRGV1fXG5KGgdXXG6fXG7KGggaLVoIksBdWFoI11xvChHP9MJJOzJbHBHP7WU72XT71ZHP9AAAAAAAABlaBh9cb1oJkcAAAAAAAAAAHNoJ2i1aCldcb4oR0AChGjjWgg8Rz/k9lK29TqTRz/pdPEMnRxbZXVldVgGAAAAdGFyZ2V0cb9HQBAKjBVMmF51LlBLBwiU10tNAg0AAAINAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABoANgBtYi1tcC1nYXAtMDYyMDE0L2J5dGVvcmRlckZCMgBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWmxpdHRsZVBLBwiFPeMZBgAAAAYAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABgANABtYi1tcC1nYXAtMDYyMDE0L3ZlcnNpb25GQjAAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMwpQSwcI0Z5nVQIAAAACAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAnACkAbWItbXAtZ2FwLTA2MjAxNC8uZGF0YS9zZXJpYWxpemF0aW9uX2lkRkIlAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlowNjM2NDU3NzM3OTQ2NDAxMDUxMzAwMDAwMDE2Mzg0OTc0ODI2NzMzUEsHCBFaDTgoAAAAKAAAAFBLAQIAAAAACAgAAAAAAACU10tNAg0AAAINAAAZAAAAAAAAAAAAAAAAAAAAAABtYi1tcC1nYXAtMDYyMDE0L2RhdGEucGtsUEsBAgAAAAAICAAAAAAAAIU94xkGAAAABgAAABoAAAAAAAAAAAAAAAAAUg0AAG1iLW1wLWdhcC0wNjIwMTQvYnl0ZW9yZGVyUEsBAgAAAAAICAAAAAAAANGeZ1UCAAAAAgAAABgAAAAAAAAAAAAAAAAA1g0AAG1iLW1wLWdhcC0wNjIwMTQvdmVyc2lvblBLAQIAAAAACAgAAAAAAAARWg04KAAAACgAAAAnAAAAAAAAAAAAAAAAAFIOAABtYi1tcC1nYXAtMDYyMDE0Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRQSwYGLAAAAAAAAAAeAy0AAAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAKgEAAAAAAAD4DgAAAAAAAFBLBgcAAAAAIhAAAAAAAAABAAAAUEsFBgAAAAAEAAQAKgEAAPgOAAAAAA==" | ./matbench_mp_gap/mb-mp-gap-062014 | /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-070225 | /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-003714 | /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-023265 | /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 |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTAyNjgwNC9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQCIMlRot/pZHAAAAAAAAAABHAAAAAAAAAABlXXENKEcAAAAAAAAAAEdAFmRRs9HUHkcAAAAAAAAAAGVdcQ4oRwAAAAAAAAAARwAAAAAAAAAAR0AdDO65W6vNZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAIgyVGi3+llgBAAAAYnESR0AWZFGz0dQeWAEAAABjcRNHQB0M7rlbq81YBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAVoAAAAAAAFgGAAAAdm9sdW1lcRdHQHbucfRPdgF1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAEAAABIcSFYBAAAAG9jY3VxIksBdWFYAwAAAGFiY3EjXXEkKEc/wvUgUwa4K0c/7KZBna8n9kc/vN7pWfZAj2VoGH1xJVgGAAAAbWFnbW9tcSZHAAAAAAAAAABzWAUAAABsYWJlbHEnaCFYAwAAAHh5enEoXXEpKEc/9WKs32etAEdAFAwdz0kgyEc/6jWucivd6WV1fXEqKGgdXXErfXEsKGggaCFoIksBdWFoI11xLShHP8L1IFMGuCtHP+NZvmJQ2ApHP7ze6Vn2QI9laBh9cS5oJkcAAAAAAAAAAHNoJ2ghaChdcS8oRz/1YqzfZ60AR0ALFLl84zrJRz/qNa5yK93pZXV9cTAoaB1dcTF9cTIoaCBoIWgiSwF1YWgjXXEzKEc/0K3cvNnlj0c/6AAAAAAAAEc/0EAz7Ox862VoGH1xNGgmRwAAAAAAAAAAc2gnaCFoKF1xNShHQALQtihk3W5HQBDLPUbdXxZHP/2BgLumLA9ldX1xNihoHV1xN31xOChoIGghaCJLAXVhaCNdcTkoRz/oVu5ebPLIRz/oAAAAAAAARz/Pf5gmJwYpZWgYfXE6aCZHAAAAAAAAAABzaCdoIWgoXXE7KEdAG3TwLmBtTkdAEMs9Rt1fFkc//JhctxEri2V1fXE8KGgdXXE9fXE+KGggaCFoIksBdWFoI11xPyhHP+S9SBTBrgtHP+NZvmJQ2ApHP9jIRamCb9xlaBh9cUBoJkcAAAAAAAAAAHNoJ2ghaChdcUEoR0AXZUBSB+nWR0ALFLl84zrJR0AGf4Mc0LRSZXV9cUIoaB1dcUN9cUQoaCBoIWgiSwF1YWgjXXFFKEc/5L1IFMGuC0c/7KZBna8n9kc/2MhFqYJv3GVoGH1xRmgmRwAAAAAAAAAAc2gnaCFoKF1xRyhHQBdlQFIH6dZHQBQMHc9JIMhHQAZ/gxzQtFJldX1xSChoHV1xSX1xSihoIGghaCJLAXVhaCNdcUsoRz/nqRGhkw04Rz/QAAAAAAAARz/n3+YJicGKZWgYfXFMaCZHAAAAAAAAAABzaCdoIWgoXXFNKEdAGrDPICmOdEc/9mRRs9HUHkdAFayOinIgyWV1fXFOKGgdXXFPfXFQKGggaCFoIksBdWFoI11xUShHP+tCt+s+UfVHP7rN8xKGwE5HP+xkItTBN+5laBh9cVJoJkcAAAAAAAAAAHNoJ2ghaChdcVMoR0AewH78ghHsRz/iwZ8kRZqsR0AZxjjrFjAQZXV9cVQoaB1dcVV9cVYoaCBoIWgiSwF1YWgjXXFXKEc/60K36z5R9Uc/2UyDO15P7Ec/7GQi1ME37mVoGH1xWGgmRwAAAAAAAAAAc2gnaCFoKF1xWShHQB7AfvyCEexHQAGz6erAbXNHQBnGOOsWMBBldX1xWihoHV1xW31xXChoIGghaCJLAXVhaCNdcV0oRz/OpEaGTDTiRz/QAAAAAAAARz/oIBn2dj52ZWgYfXFeaCZHAAAAAAAAAABzaCdoIWgoXXFfKEdAAUh0C/cfvkc/9mRRs9HUHkdAFebXi5dg62V1fXFgKGgdXXFhfXFiKGggaCFoIksBdWFoI11xYyhHP9aFb9Z8o+tHP9lMgzteT+xHP+Ob3Ss+yBJlaBh9cWRoJkcAAAAAAAAAAHNoJ2ghaChdcWUoR0AJZ9PEqCatR0ABs+nqwG1zR0ARzS0q81GkZXV9cWYoaB1dcWd9cWgoaCBoIWgiSwF1YWgjXXFpKEc/1oVv1nyj60c/us3zEobATkc/45vdKz7IEmVoGH1xamgmRwAAAAAAAAAAc2gnaCFoKF1xayhHQAln08SoJq1HP+LBnyRFmqxHQBHNLSrzUaRldX1xbChoHV1xbX1xbihoIFgCAAAAQ2xxb2giSwF1YWgjXXFwKEc/7VEjSK9xR0c/0AAAAAAAAEc/0t6rsfUFJWVoGH1xcWgmRwAAAAAAAAAAc2gnWAIAAABDbHFyaChdcXMoR0AgiSrf5kv1Rz/2ZFGz0dQeR0ABIWvfEyM+ZXV9cXQoaB1dcXV9cXYoaCBob2giSwF1YWgjXXF3KEc/2qJGkV7ij0c/0AAAAAAAAEc/ykKonBX1tmVoGH1xeGgmRwAAAAAAAAAAc2gnWAIAAABDbHF5aChdcXooR0AOC4FLPTKrRz/2ZFGz0dQeRz/31wW0kREfZXV9cXsoaB1dcXx9cX0oaCBob2giSwF1YWgjXXF+KEc/tXbluoR1xkc/6AAAAAAAAEc/5pCqJwV9bWVoGH1xf2gmRwAAAAAAAAAAc2gnWAIAAABDbHGAaChdcYEoRz/oNqOkeyoHR0AQyz1G3V8WR0AUfDjJ0houZXV9cYIoaB1dcYN9cYQoaCBob2giSwF1YWgjXXGFKEc/4q7ct1COuUc/6AAAAAAAAEc/6W9V2PqCk2VoGH1xhmgmRwAAAAAAAAAAc2gnWAIAAABDbHGHaChdcYgoR0AVE2mOvWPXR0AQyz1G3V8WR0AXFy1MN2eGZXV9cYkoaB1dcYp9cYsoaCBYAQAAAE9xjGgiSwF1YWgjXXGNKEc/6TCRrbznJ0c/0AAAAAAAAEc/2rjsD4gzQGVoGH1xjmgmRwAAAAAAAAAAc2gnaIxoKF1xjyhHQBxqcw46ycxHP/ZkUbPR1B5HQAhCYqC+lxtldX1xkChoHV1xkX1xkihoIGiMaCJLAXVhaCNdcZMoRz/SYSNbec5NRz/QAAAAAAAARz+1HE/B3zMBZWgYfXGUaCZHAAAAAAAAAABzaCdojGgoXXGVKEdABLu76BmWakc/9mRRs9HUHkc/4yowYnRSymV1fXGWKGgdXXGXfXGYKGggaIxoIksBdWFoI11xmShHP8s9uUkMY2ZHP+gAAAAAAABHP+Kjifg75mBlaBh9cZpoJkcAAAAAAAAAAHNoJ2iMaChdcZsoRz/+utyYhM2ER0AQyz1G3V8WR0AQ671o/GBAZXV9cZwoaB1dcZ19cZ4oaCBojGgiSwF1YWgjXXGfKEc/5s9uUkMY2Uc/6AAAAAAAAEc/7Vx2B8QZoGVoGH1xoGgmRwAAAAAAAAAAc2gnaIxoKF1xoShHQBm7TEBPMfZHQBDLPUbdXxZHQBqnqK0NIXRldX1xoihoHV1xo31xpChoIGiMaCJLAXVhaCNdcaUoRz+q6/QEdC36Rz/QAAAAAAAARz/ZcJ857IrYZWgYfXGmaCZHAAAAAAAAAABzaCdojGgoXXGnKEc/3l6eXWNE2Uc/9mRRs9HUHkdABxhYUTBOuGV1fXGoKGgdXXGpfXGqKGggaIxoIksBdWFoI11xqyhHP+Guv0BHQuBHP9AAAAAAAABHP7o9gxhN1J9laBh9caxoJkcAAAAAAAAAAHNoJ2iMaChdca0oR0AT8n8ABDLkRz/2ZFGz0dQeRz/n0lmgrXRVZXV9ca4oaB1dca99cbAoaCBojGgiSwF1YWgjXXGxKEc/7lFAv7i9IEc/6AAAAAAAAEc/40ewYwm6lGVoGH1xsmgmRwAAAAAAAAAAc2gnaIxoKF1xsyhHQCEZoCdC5G9HQBDLPUbdXxZHQBGAwpDDhHFldX1xtChoHV1xtX1xtihoIGiMaCJLAXVhaCNdcbcoRz/cooF/cXpBRz/oAAAAAAAARz/suE+c9kVsZWgYfXG4aCZHAAAAAAAAAABzaCdojGgoXXG5KEdAECarNFfKSUdAEMs9Rt1fFkdAGhKjhUX9QmV1fXG6KGgdXXG7fXG8KGggaIxoIksBdWFoI11xvShHP+0SCpQtnvVHP6L+gfuYPExHP8ZpAnf/awVlaBh9cb5oJkcAAAAAAAAAAHNoJ2iMaChdcb8oR0AgZZQrGu25Rz/KlQpkQDqVRz/0WDjMfh52ZXV9ccAoaB1dccF9ccIoaCBojGgiSwF1YWgjXXHDKEc/2iQVKFs96Uc/3aAvwIz4dkc/1Mt+xABKfmVoGH1xxGgmRwAAAAAAAAAAc2gnaIxoKF1xxShHQA19JngPubVHQAS7AQ2N0HRHQALg0lMcnJNldX1xxihoHV1xx31xyChoIGiMaCJLAXVhaCNdcckoRz+3b6tekwhbRz/hL+gfuYPFRz/qZb9iACU/ZWgYfXHKaCZHAAAAAAAAAABzaCdojGgoXXHLKEc/6nAO8TEN2kdACA2iWhXXyEdAF/bghjwkMGV1fXHMKGgdXXHNfXHOKGggaIxoIksBdWFoI11xzyhHP+Lt9WvSYQtHP+7QF+BGfDtHP+WaQJ3/2sFlaBh9cdBoJkcAAAAAAAAAAHNoJ2iMaChdcdEoR0AVWpb4VCBRR0AVj6lgr9JJR0ATnIWPzV2EZXV9cdIoaB1dcdN9cdQoaCBojGgiSwF1YWgjXXHVKEc/t2+rXpMIW0c/7tAX4EZ8O0c/6mW/YgAlP2VoGH1x1mgmRwAAAAAAAAAAc2gnaIxoKF1x1yhHP+pwDvExDdpHQBWPqWCv0klHQBf24IY8JDBldX1x2ChoHV1x2X1x2ihoIGiMaCJLAXVhaCNdcdsoRz/i7fVr0mELRz/hL+gfuYPFRz/lmkCd/9rBZWgYfXHcaCZHAAAAAAAAAABzaCdojGgoXXHdKEdAFVqW+FQgUUdACA2iWhXXyEdAE5yFj81dhGV1fXHeKGgdXXHffXHgKGggaIxoIksBdWFoI11x4ShHP+0SCpQtnvVHP92gL8CM+HZHP8ZpAnf/awVlaBh9ceJoJkcAAAAAAAAAAHNoJ2iMaChdceMoR0AgZZQrGu25R0AEuwENjdB0Rz/0WDjMfh52ZXV9ceQoaB1dceV9ceYoaCBojGgiSwF1YWgjXXHnKEc/2iQVKFs96Uc/ov6B+5g8TEc/1Mt+xABKfmVoGH1x6GgmRwAAAAAAAAAAc2gnaIxoKF1x6ShHQA19JngPubVHP8qVCmRAOpVHQALg0lMcnJNldX1x6ihoHV1x631x7ChoIGiMaCJLAXVhaCNdce0oRz/E8XDbilTYRz/oAAAAAAAARz/II2tUjMooZWgYfXHuaCZHAAAAAAAAAABzaCdojGgoXXHvKEc/96AXNk/PWkdAEMs9Rt1fFkc/9enaoB97qWV1fXHwKGgdXXHxfXHyKGggaIxoIksBdWFoI11x8yhHP+U8XDbilTZHP+gAAAAAAABHP9PuSlW5muxlaBh9cfRoJkcAAAAAAAAAAHNoJ2iMaChdcfUoR0AX9JrnwfJtR0AQyz1G3V8WR0ACGAFpS+34ZXV9cfYoaB1dcfd9cfgoaCBojGgiSwF1YWgjXXH5KEc/6sOjyR1qykc/0AAAAAAAAEc/6fclKtzNdmVoGH1x+mgmRwAAAAAAAAAAc2gnaIxoKF1x+yhHQB4xJGbICVVHP/ZkUbPR1B5HQBeSeBFTzONldX1x/ChoHV1x/X1x/ihoIGiMaCJLAXVhaCNdcf8oRz/Vh0eSOtWURz/QAAAAAAAARz/mCNrVIzKKZWgYfXIAAQAAaCZHAAAAAAAAAABzaCdojGgoXXIBAQAAKEdACEkemTQVf0c/9mRRs9HUHkdAFADuBLW00WV1ZXVYBgAAAHRhcmdldHICAQAAR0ATjU/fO2RadS5QSwcIVYCfyDcSAAA3EgAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAaAEEAbWItbXAtZ2FwLTAyNjgwNC9ieXRlb3JkZXJGQj0AWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWmxpdHRsZVBLBwiFPeMZBgAAAAYAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABgANABtYi1tcC1nYXAtMDI2ODA0L3ZlcnNpb25GQjAAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMwpQSwcI0Z5nVQIAAAACAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAnACkAbWItbXAtZ2FwLTAyNjgwNC8uZGF0YS9zZXJpYWxpemF0aW9uX2lkRkIlAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlowNjM2NDU3NzM3OTQ2NDAxMDUxMzAwMDAwMDI1NjgyMDM2NzgwNjI2UEsHCIrnUyUoAAAAKAAAAFBLAQIAAAAACAgAAAAAAABVgJ/INxIAADcSAAAZAAAAAAAAAAAAAAAAAAAAAABtYi1tcC1nYXAtMDI2ODA0L2RhdGEucGtsUEsBAgAAAAAICAAAAAAAAIU94xkGAAAABgAAABoAAAAAAAAAAAAAAAAAhxIAAG1iLW1wLWdhcC0wMjY4MDQvYnl0ZW9yZGVyUEsBAgAAAAAICAAAAAAAANGeZ1UCAAAAAgAAABgAAAAAAAAAAAAAAAAAFhMAAG1iLW1wLWdhcC0wMjY4MDQvdmVyc2lvblBLAQIAAAAACAgAAAAAAACK51MlKAAAACgAAAAnAAAAAAAAAAAAAAAAAJITAABtYi1tcC1nYXAtMDI2ODA0Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRQSwYGLAAAAAAAAAAeAy0AAAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAKgEAAAAAAAA4FAAAAAAAAFBLBgcAAAAAYhUAAAAAAAABAAAAUEsFBgAAAAAEAAQAKgEAADgUAAAAAA==" | ./matbench_mp_gap/mb-mp-gap-026804 | /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-062809 | /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 |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA4ODI5NS9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQB2jXv0QjGpHAAAAAAAAAABHAAAAAAAAAABlXXENKEfADaNe/RCMakdAGarbKARV+0cAAAAAAAAAAGVdcQ4oRwAAAAAAAAAARwAAAAAAAAAAR0ASAZUmwzhOZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAHaNe/RCMalgBAAAAYnESR0Ado179PHUbWAEAAABjcRNHQBIBlSbDOE5YBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAXf////O/hFgGAAAAdm9sdW1lcRdHQGrA9zcQc2x1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABNZ3EhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHAAAAAAAAAABHP88k0QVAsaFHP+AAAAAAAABlaBh9cSVYBgAAAG1hZ21vbXEmRwAAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAATWdxKFgDAAAAeHl6cSldcSooR7/s2F1n5pGTRz/4+wwtbyv3R0ACAZUmwzhOZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/6DbLvq/TmEc/6DbLvq/TmEc/4AAAAAAAAGVoGH1xL2gmRwAAAAAAAAAAc2gnWAIAAABNZ3EwaCldcTEoR0AGbUejFugFR0ATbBgcqIr9R0ACAZUmwzhOZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/zyTRBUCxoUcAAAAAAAAAAEc/4AAAAAAAAGVoGH1xNmgmRwAAAAAAAAAAc2gnWAIAAABNZ3E3aCldcTgoRz/82F1n5pGTRwAAAAAAAAAAR0ACAZUmwzhOZXV9cTkoaB1dcTp9cTsoaCBYAgAAAEdhcTxoIksBdWFoI11xPShHP9VVVVHBEtpHP+VVVVcfdpNHP+AAAAAAAABlaBh9cT5oJkcAAAAAAAAAAHNoJ1gCAAAAR2FxP2gpXXFAKEe+Y+PMbAAAAEdAERySHB0GskdAAgGVJsM4TmV1fXFBKGgdXXFCfXFDKGggaDxoIksBdWFoI11xRChHP+VVVVcfdpNHP9VVVVHBEtpHP+AAAAAAAABlaBh9cUVoJkcAAAAAAAAAAHNoJ1gCAAAAR2FxRmgpXXFHKEdADaNfAgl/hUdAARySF86ek0dAAgGVJsM4TmV1fXFIKGgdXXFJfXFKKGggaDxoIksBdWFoI11xSyhHAAAAAAAAAABHAAAAAAAAAABHAAAAAAAAAABlaBh9cUxoJkcAAAAAAAAAAHNoJ1gCAAAAR2FxTWgpXXFOKEcAAAAAAAAAAEcAAAAAAAAAAEcAAAAAAAAAAGV1fXFPKGgdXXFQfXFRKGggWAIAAABTbXFSaCJLAXVhaCNdcVMoRwAAAAAAAAAARz/icL6OxoHaRwAAAAAAAAAAZWgYfXFUaCZHAAAAAAAAAABzaCdYAgAAAFNtcVVoKV1xVihHwAEUUbkP2B1HQA2VFD0SRfJHAAAAAAAAAABldX1xVyhoHV1xWH1xWShoIGhSaCJLAXVhaCNdcVooRz/bHoLicvxMRz/bHoLicvxMRwAAAAAAAAAAZWgYfXFbaCZHAAAAAAAAAABzaCdYAgAAAFNtcVxoKV1xXShHP/keGogBaJtHQAXAohL2ZgRHAAAAAAAAAABldX1xXihoHV1xX31xYChoIGhSaCJLAXVhaCNdcWEoRz/icL6OxoHaRwAAAAAAAAAARwAAAAAAAAAAZWgYfXFiaCZHAAAAAAAAAABzaCdYAgAAAFNtcWNoKV1xZChHQBEUUbkP2B1HAAAAAAAAAABHAAAAAAAAAABldWV1WAYAAAB0YXJnZXRxZUcAAAAAAAAAAHUuUEsHCAIVR3poBgAAaAYAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgAQAG1iLW1wLWdhcC0wODgyOTUvYnl0ZW9yZGVyRkIMAFpaWlpaWlpaWlpaWmxpdHRsZVBLBwiFPeMZBgAAAAYAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABgANABtYi1tcC1nYXAtMDg4Mjk1L3ZlcnNpb25GQjAAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMwpQSwcI0Z5nVQIAAAACAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAnACkAbWItbXAtZ2FwLTA4ODI5NS8uZGF0YS9zZXJpYWxpemF0aW9uX2lkRkIlAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlowNjM2NDU3NzM3OTQ2NDAxMDUxMzAwMDAwMDE5NjEwMTU4NTk3OTEyUEsHCG6TePcoAAAAKAAAAFBLAQIAAAAACAgAAAAAAAACFUd6aAYAAGgGAAAZAAAAAAAAAAAAAAAAAAAAAABtYi1tcC1nYXAtMDg4Mjk1L2RhdGEucGtsUEsBAgAAAAAICAAAAAAAAIU94xkGAAAABgAAABoAAAAAAAAAAAAAAAAAuAYAAG1iLW1wLWdhcC0wODgyOTUvYnl0ZW9yZGVyUEsBAgAAAAAICAAAAAAAANGeZ1UCAAAAAgAAABgAAAAAAAAAAAAAAAAAFgcAAG1iLW1wLWdhcC0wODgyOTUvdmVyc2lvblBLAQIAAAAACAgAAAAAAABuk3j3KAAAACgAAAAnAAAAAAAAAAAAAAAAAJIHAABtYi1tcC1nYXAtMDg4Mjk1Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRQSwYGLAAAAAAAAAAeAy0AAAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAKgEAAAAAAAA4CAAAAAAAAFBLBgcAAAAAYgkAAAAAAAABAAAAUEsFBgAAAAAEAAQAKgEAADgIAAAAAA==" | ./matbench_mp_gap/mb-mp-gap-088295 | /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-104804 | /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-018938 | /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-032204 | /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-027351 | /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-098717 | /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-049814 | /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-005068 | /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 |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTAwNjc1OC9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHwANqBdw3+cFHwBDQKpPSWlVHAAAAAAAAAABlXXENKEfAA2oF3Df5wUdAENAqk9JaVUcAAAAAAAAAAGVdcQ4oRwAAAAAAAAAARwAAAAAAAAAAR8AblUkFrWkEZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAE2oF6aYkClgBAAAAYnESR0ATagXppiQKWAEAAABjcRNHQBuVSQWtaQRYBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAXgAAC3EkJVgGAAAAdm9sdW1lcRdHQGGVv8x8sat1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAEAAABVcSFYBAAAAG9jY3VxIksBdWFYAwAAAGFiY3EjXXEkKEeAAAAAAAAAAEeAAAAAAAAAAEc/4AAAAAAAAGVoGH1xJVgGAAAAbWFnbW9tcSZHP7FocrAgxJxzWAUAAABsYWJlbHEnaCFYAwAAAHh5enEoXXEpKEcAAAAAAAAAAEcAAAAAAAAAAEfAC5VJBa1pBGV1fXEqKGgdXXErfXEsKGggaCFoIksBdWFoI11xLShHgAAAAAAAAABHgAAAAAAAAABHAAAAAAAAAABlaBh9cS5oJke/mZmZmZmZmnNoJ2ghaChdcS8oRwAAAAAAAAAARwAAAAAAAAAARwAAAAAAAAAAZXV9cTAoaB1dcTF9cTIoaCBYAgAAAEZlcTNoIksBdWFoI11xNChHP+VVVghKUV1HP9VVU+9rXUZHP+AAAAAAAABlaBh9cTVoJkc/tP3ztkWhy3NoJ1gCAAAARmVxNmgoXXE3KEfAA2oF3Df5wUe/9mrmX/hHTUfAC5VJBa1pBGV1fXE4KGgdXXE5fXE6KGggaDNoIksBdWFoI11xOyhHP9VVU+9rXUZHP+VVVghKUV1HP+AAAAAAAABlaBh9cTxoJkc/tP3ztkWhy3NoJ1gCAAAARmVxPWgoXXE+KEfAA2oF3Df5wUc/9mrmX/hHTUfAC5VJBa1pBGV1fXE/KGgdXXFAfXFBKGggaDNoIksBdWFoI11xQihHP+AAAAAAAABHP+AAAAAAAABHP+kEd55yG3tlaBh9cUNoJkc/lYEGJN0vG3NoJ1gCAAAARmVxRGgoXXFFKEfAA2oF3Df5wUcAAAAAAAAAAEfAFZB60Usw5WV1fXFGKGgdXXFHfXFIKGggaDNoIksBdWFoI11xSShHP+AAAAAAAABHP+AAAAAAAABHP8vuIYY3khNlaBh9cUpoJkc/lYEGJN0vG3NoJ1gCAAAARmVxS2goXXFMKEfAA2oF3Df5wUcAAAAAAAAAAEe/+BM40YjgemV1fXFNKGgdXXFOfXFPKGggaDNoIksBdWFoI11xUChHAAAAAAAAAABHP+AAAAAAAABHP+kEd55yG3tlaBh9cVFoJkc/l41P3ztkWnNoJ1gCAAAARmVxUmgoXXFTKEe/82oF3Df5wUdAANAqk9JaVUfAFZB60Usw5WV1fXFUKGgdXXFVfXFWKGggaDNoIksBdWFoI11xVyhHgAAAAAAAAABHP+AAAAAAAABHP8vuIYY3khNlaBh9cVhoJkc/l41P3ztkWnNoJ1gCAAAARmVxWWgoXXFaKEe/82oF3Df5wUdAANAqk9JaVUe/+BM40YjgemV1fXFbKGgdXXFcfXFdKGggaDNoIksBdWFoI11xXihHP+AAAAAAAABHAAAAAAAAAABHP+kEd55yG3tlaBh9cV9oJkc/lHrhR64Ue3NoJ1gCAAAARmVxYGgoXXFhKEe/82oF3Df5wUfAANAqk9JaVUfAFZB60Usw5WV1fXFiKGgdXXFjfXFkKGggaDNoIksBdWFoI11xZShHP+AAAAAAAABHgAAAAAAAAABHP8vuIYY3khNlaBh9cWZoJkc/lHrhR64Ue3NoJ1gCAAAARmVxZ2goXXFoKEe/82oF3Df5wUfAANAqk9JaVUe/+BM40YjgemV1fXFpKGgdXXFqfXFrKGggWAEAAABCcWxoIksBdWFoI11xbShHP+VVVghKUV1HP9VVU+9rXUZHAAAAAAAAAABlaBh9cW5oJkeAAAAAAAAAAHNoJ1gBAAAAQnFvaChdcXAoR8ADagXcN/nBR7/2auZf+EdNRwAAAAAAAAAAZXV9cXEoaB1dcXJ9cXMoaCBobGgiSwF1YWgjXXF0KEc/1VVT72tdRkc/5VVWCEpRXUcAAAAAAAAAAGVoGH1xdWgmR4AAAAAAAAAAc2gnaG9oKF1xdihHwANqBdw3+cFHP/Zq5l/4R01HAAAAAAAAAABldWV1WAYAAAB0YXJnZXRxd0cAAAAAAAAAAHUuUEsHCOpNy7O4BwAAuAcAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgBAAG1iLW1wLWdhcC0wMDY3NTgvYnl0ZW9yZGVyRkI8AFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWmxpdHRsZVBLBwiFPeMZBgAAAAYAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABgANABtYi1tcC1nYXAtMDA2NzU4L3ZlcnNpb25GQjAAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMwpQSwcI0Z5nVQIAAAACAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAnACkAbWItbXAtZ2FwLTAwNjc1OC8uZGF0YS9zZXJpYWxpemF0aW9uX2lkRkIlAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlowNjM2NDU3NzM3OTQ2NDAxMDUxMzAwMDAwMDIzMTk3NjU2NzUwMzY2UEsHCA92y/koAAAAKAAAAFBLAQIAAAAACAgAAAAAAADqTcuzuAcAALgHAAAZAAAAAAAAAAAAAAAAAAAAAABtYi1tcC1nYXAtMDA2NzU4L2RhdGEucGtsUEsBAgAAAAAICAAAAAAAAIU94xkGAAAABgAAABoAAAAAAAAAAAAAAAAACAgAAG1iLW1wLWdhcC0wMDY3NTgvYnl0ZW9yZGVyUEsBAgAAAAAICAAAAAAAANGeZ1UCAAAAAgAAABgAAAAAAAAAAAAAAAAAlggAAG1iLW1wLWdhcC0wMDY3NTgvdmVyc2lvblBLAQIAAAAACAgAAAAAAAAPdsv5KAAAACgAAAAnAAAAAAAAAAAAAAAAABIJAABtYi1tcC1nYXAtMDA2NzU4Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRQSwYGLAAAAAAAAAAeAy0AAAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAKgEAAAAAAAC4CQAAAAAAAFBLBgcAAAAA4goAAAAAAAABAAAAUEsFBgAAAAAEAAQAKgEAALgJAAAAAA==" | ./matbench_mp_gap/mb-mp-gap-006758 | /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-075447 | /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-004025 | /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-079813 | /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-032143 | /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-102879 | /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-041909 | /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-088968 | /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-012822 | /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-100060 | /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-097762 | /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-057383 | /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-082545 | /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-014034 | /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-032484 | /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-046645 | /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-050972 | /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-062903 | /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-067011 | /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-032417 | /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 |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTAyODIyOC9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQBjnSuEkyIxHAAAAAAAAAABHAAAAAAAAAABlXXENKEcAAAAAAAAAAEdAHdknJoqDUUe/9REAWGp6R2VdcQ4oRwAAAAAAAAAAR7+QPs3xDyFbR0AkcWmuGYNfZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAGOdK4STIjFgBAAAAYnESR0AeTzAbMfYlWAEAAABjcRNHQCRxa0s0tjtYBQAAAGFscGhhcRRHQFkGHUezIiRYBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAVoAAAAAAAFgGAAAAdm9sdW1lcRdHQH2r1CBC7pZ1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABDYXEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP+gAAAAAAABHP+U0bFjDu4FHP8jwlVPkrpZlaBh9cSVYBgAAAG1hZ21vbXEmRz9gYk3S8an8c1gFAAAAbGFiZWxxJ1gCAAAAQ2FxKFgDAAAAeHl6cSldcSooR0ASrXgo25ZpR0ATxD1RRk7fRz/x59dTTBjPZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/0AAAAAAAAEc/1ZcnTniI/kc/6cPaqwbUW2VoGH1xL2gmRz9gYk3S8an8c2gnWAIAAABDYXEwaCldcTEoRz/450rhJMiMR0AECVYOpkqhR0AfJJ1xRWH5ZXV9cTIoaB1dcTN9cTQoaCBYAgAAAEN1cTVoIksBdWFoI11xNihHP9AAAAAAAABHP9Z23yS+JWpHP8nPWxyGSIRlaBh9cTdoJkc/mJN0vGp++nNoJ1gCAAAAQ3VxOGgpXXE5KEc/+OdK4STIjEdABO2eo7cJ8kc/+ZUr5mJnjmV1fXE6KGgdXXE7fXE8KGggaDVoIksBdWFoI11xPShHP+gAAAAAAABHP+TEkG2g7UtHP+mMKTjebd9laBh9cT5oJkc/mJN0vGp++nNoJ1gCAAAAQ3VxP2gpXXFAKEdAEq14KNuWaUdAE1IZBr3vN0dAHTlITH/OSGV1fXFBKGgdXXFCfXFDKGggaDVoIksBdWFoI11xRChHP9AAAAAAAABHP+h7+cDLt6RHP9veJnvqshBlaBh9cUVoJkc/1HrhR64Ue3NoJ1gCAAAAQ3VxRmgpXXFHKEc/+OdK4STIjEdAFs9uHnDNckdAC4wKGFwl3WV1fXFIKGgdXXFJfXFKKGggaDVoIksBdWFoI11xSyhHP+AAAAAAAABHAAAAAAAAAABHAAAAAAAAAABlaBh9cUxoJkc/3kWhysCDEnNoJ1gCAAAAQ3VxTWgpXXFOKEdACOdK4STIjEcAAAAAAAAAAEcAAAAAAAAAAGV1fXFPKGgdXXFQfXFRKGggaDVoIksBdWFoI11xUihHP+gAAAAAAABHP84QGPzRIXBHP+IQ7MIKpvhlaBh9cVNoJkc/1HrhR64Ue3NoJ1gCAAAAQ3VxVGgpXXFVKEdAEq14KNuWaUc/++Xo6KKa+UdAFdiOOepVPmV1fXFWKGgdXXFXfXFYKGggaDVoIksBdWFoI11xWShHAAAAAAAAAABHAAAAAAAAAABHAAAAAAAAAABlaBh9cVpoJkc/3O2RaHKwIXNoJ1gCAAAAQ3VxW2gpXXFcKEcAAAAAAAAAAEcAAAAAAAAAAEcAAAAAAAAAAGV1fXFdKGgdXXFefXFfKGggWAEAAABQcWBoIksBdWFoI11xYShHP9AAAAAAAABHP8rRwFGUR0pHP9703UyhxDVlaBh9cWJoJke/YGJN0vGp/HNoJ2hgaCldcWMoRz/450rhJMiMRz/45KcZbUDgR0ASrELaYQ/KZXV9cWQoaB1dcWV9cWYoaCBoYGgiSwF1YWgjXXFnKEc/6AAAAAAAAEc/6UuP65ruLUc/4IWRWa8d5WVoGH1xaGgmR79gYk3S8an8c2gnaGBoKV1xaShHQBKteCjblmlHQBePvpI+I/hHQBDyUGu3WGNldX1xaihoHV1xa31xbChoIGhgaCJLAXVhaCNdcW0oRz/QAAAAAAAARz/nxpH/8j4gRz/oUEZJOoaPZWgYfXFuaCZHAAAAAAAAAABzaCdoYGgpXXFvKEc/+OdK4STIjEdAFiD0GYGcvkdAGyby/31PoGV1fXFwKGgdXXFxfXFyKGggaGBoIksBdWFoI11xcyhHP+gAAAAAAABHP9By3AAbg79HP86+5tsV5cVlaBh9cXRoJkcAAAAAAAAAAHNoJ2hgaCldcXUoR0ASrXgo25ZpRz/+n9D8X13FR0AA70CNNjEZZXV9cXYoaB1dcXd9cXgoaCBoYGgiSwF1YWgjXXF5KEc/6AAAAAAAAEc/0/2vbcFOlEc/7GOFD/S/sGVoGH1xemgmRz9gYk3S8an8c2gnaGBoKV1xeyhHQBKteCjblmlHQAKIvMo+qupHQCFQPrcSXSlldX1xfChoHV1xfX1xfihoIGhgaCJLAXVhaCNdcX8oRz/QAAAAAAAARz/mAShJH1i2Rz+849eAWgKAZWgYfXGAaCZHP2BiTdLxqfxzaCdoYGgpXXGBKEc/+OdK4STIjEdAFISJ83oeu0c/z8K6/nW7FGV1fXGCKGgdXXGDfXGEKGggWAEAAABPcYVoIksBdWFoI11xhihHP+gAAAAAAABHP9dVo5XG0TVHP+fQVnSA211laBh9cYdoJkc/nrhR64UeuHNoJ2iFaCldcYgoR0ASrXgo25ZpR0AFq8e5PksTR0AcgaWbWXvcZXV9cYkoaB1dcYp9cYsoaCBohWgiSwF1YWgjXXGMKEc/4fJwP64V0kc/6BWNSta950c/2nS133Vw8GVoGH1xjWgmRz+nCj1wo9cKc2gnaIVoKV1xjihHQAvvGJHuNYtHQBZwQIWSnPJHQAnf8iI54ylldX1xjyhoHV1xkH1xkShoIGiFaCJLAXVhaCNdcZIoRz/QAAAAAAAARz/psvwAwfHSRz/kBji5Wf5OZWgYfXGTaCZHP6Jul41P3ztzaCdohWgpXXGUKEc/+OdK4STIjEdAF+5vJWKIBEdAFVrv660HYWV1fXGVKGgdXXGWfXGXKGggaIVoIksBdWFoI11xmChHP+FlHJoUk7ZHP8pRWmWnI8ZHP+zfW8BFKgFlaBh9cZloJkc/rrhR64UeuHNoJ2iFaCldcZooR0ALEyAceY8ERz/4UbBqMFUWR0Ah51J3iS12ZXV9cZsoaB1dcZx9cZ0oaCBohWgiSwF1YWgjXXGeKEc/6AAAAAAAAEc/5LJbh2U5lkc/42LzsBB+fWVoGH1xn2gmRz+0/fO2RaHLc2gnaIVoKV1xoChHQBKteCjblmlHQBNEPjtasYdHQBVdGL7H3KBldX1xoShoHV1xon1xoyhoIGiFaCJLAXVhaCNdcaQoRz/oAAAAAAAARz/sLTJSuImfRz/tD6gpKW8PZWgYfXGlaCZHP8ZFocrAgxJzaCdohWgpXXGmKEdAEq14KNuWaUdAGjlps8uJ0kdAID80Mitxr2V1fXGnKGgdXXGofXGpKGggaIVoIksBdWFoI11xqihHP9AAAAAAAABHP9abSPE1jNVHP9k6GJ/fAwVlaBh9catoJkc/tP3ztkWhy3NoJ2iFaCldcawoRz/450rhJMiMR0AFCVQ6fYVSR0AMgvUOoRcYZXV9ca0oaB1dca59ca8oaCBohWgiSwF1YWgjXXGwKEc/plHJoUk7XUc/6WupZpY3D0c/uQUh/dav+2VoGH1xsWgmRz+uNT987ZFoc2gnaIVoKV1xsihHP9FeqdqmM71HQBe0fD4NXupHv6gI1Hz5X4BldX1xsyhoHV1xtH1xtShoIGiFaCJLAXVhaCNdcbYoRz/QAAAAAAAARz+ZSLyHWlHbRz/Zd3qrFu+GZWgYfXG3aCZHP7peNT987ZFzaCdohWgpXXG4KEc/+OdK4STIjEc/xsajfLHCRUdAECOkWW1KUWV1fXG5KGgdXXG6fXG7KGggaIVoIksBdWFoI11xvChHP+gAAAAAAABHP+81uhvFLXFHP+NEQqp0iD1laBh9cb1oJkc/ul41P3ztkXNoJ2iFaCldcb4oR0ASrXgo25ZpR0AdErM8s+YdR0ATeu7sqx3cZXV9cb8oaB1dccB9ccEoaCBohWgiSwF1YWgjXXHCKEc/r37k4m1IAkc/4+Fs/QN2V0c/6T48EFGG22VoGH1xw2gmRz+MrAgxJul5c2gnaIVoKV1xxChHP9iC0WEeM/pHQBJ+Yxn8FG9HQBz7GXf4sKpldX1xxShoHV1xxn1xxyhoIGiFaCJLAXVhaCNdccgoRz/QAAAAAAAARz++lm1qO7MKRz+3gr62tIeHZWgYfXHJaCZHP8ZFocrAgxJzaCdohWgpXXHKKEc/+OdK4STIjEc/7Hv1Jm9S7Uc/6QFXDgwmbGV1fXHLKGgdXXHMfXHNKGggaIVoIksBdWFoI11xzihHP+H37k4m1IBHP9g9JgX5E1JHP8sHD7655JNlaBh9cc9oJkc/kGJN0vGp/HNoJ2iFaCldcdAoR0AL96UNSI8LR0AGlQp9Or+BRz/6jec4ft4JZXV9cdEoaB1dcdJ9cdMoaCBohWgiSwF1YWgjXXHUKEc/6AAAAAAAAEc/4BJm+rXpMUc/7wpK/NN6vGVoGH1x1WgmRz90euFHrhR7c2gnaIVoKV1x1ihHQBKteCjblmlHQA3b92w848pHQCKB3giDJ2RldX1x1yhoHV1x2H1x2ShoIGiFaCJLAXVhaCNdcdooRz/oAAAAAAAARz/JNA/8+Di2Rz/X846NTANkZWgYfXHbaCZHP6Jul41P3ztzaCdohWgpXXHcKEdAEq14KNuWaUc/92nkzNuwrEdADIdGtNbBlWV1fXHdKGgdXXHefXHfKGggaIVoIksBdWFoI11x4ChHP901xsvW2JRHP+lrqWaWNw9HP7kFIf3Wr/tlaBh9ceFoJkc/rrhR64UeuHNoJ2iFaCldceIoR0AGu3Wl0AIUR0AXtHw+DV7qR7+oCNR8+V+AZXV9ceMoaB1dceR9ceUoaCBohWgiSwF1YWgjXXHmKEc/7g2PwFHqLkc/6BWNSta950c/2nS133Vw8GVoGH1x52gmRz+njU/fO2Rac2gnaIVoKV1x6ChHQBdjZAjAEg1HQBZwQIWSnPJHQAnf8iI54ylldX1x6ShoHV1x6n1x6yhoIGiFaCJLAXVhaCNdcewoRz/cGx+Ao9RbRz/PqcrUpQhjRz/ixaUQRUeIZWgYfXHtaCZHP6cKPXCj1wpzaCdohWgpXXHuKEdABd99MFtbjEc//WKfTBtc9EdAFq6aNPt2mGV1fXHvKGgdXXHwfXHxKGggaIVoIksBdWFoI11x8ihHP9wQI2OyVwBHP+PhbP0DdldHP+k+PBBRhttlaBh9cfNoJkc/kGJN0vGp/HNoJ2iFaCldcfQoR0AF1vC1AQINR0ASfmMZ/BRvR0Ac+xl3+LCqZXV9cfUoaB1dcfZ9cfcoaCBohWgiSwF1YWgjXXH4KEc/0AAAAAAAAEc/5FUuNRyXZUc/0F9TFv5JR2VoGH1x+WgmRz+euFHrhR64c2gnaIVoKV1x+ihHP/jnSuEkyIxHQBLzBHv6TqZHP/xztqr7sUJldX1x+yhoHV1x/H1x/ShoIGiFaCJLAXVhaCNdcf4oRz/oAAAAAAAARz+0n0FOU/X2Rz/BFhPolSpJZWgYfXH/aCZHP741P3ztkWhzaCdohWgpXXIAAQAAKEdAEq14KNuWaUc/4yrrN2MyfEc/9CJGtECm9WV1fXIBAQAAKGgdXXICAQAAfXIDAQAAKGggaIVoIksBdWFoI11yBAEAAChHP9AAAAAAAABHP+1sF9Y1gUFHP+u6ewXatW5laBh9cgUBAABoJkc/vjU/fO2RaHNoJ2iFaCldcgYBAAAoRz/450rhJMiMR0AbY4rxrQ3gR0AelgGZCD5wZXV9cgcBAAAoaB1dcggBAAB9cgkBAAAoaCBohWgiSwF1YWgjXXIKAQAAKEc/7ggRsdkrgEc/2D0mBfkTUkc/ywcPvrnkk2VoGH1yCwEAAGgmRz+MrAgxJul5c2gnaIVoKV1yDAEAAChHQBdfHcsS5UxHQAaVCn06v4FHP/qN5zh+3glldX1yDQEAAChoHV1yDgEAAH1yDwEAAChoIGiFaCJLAXVhaCNdchABAAAoRz/umuNl62xKRz/KUVplpyPGRz/s31vARSoBZWgYfXIRAQAAaCZHP641P3ztkWhzaCdohWgpXXISAQAAKEdAF9FgQ3plUEc/+FGwajBVFkdAIedSd4ktdmV1fXITAQAAKGgdXXIUAQAAfXIVAQAAKGggaIVoIksBdWFoI11yFgEAAChHP68nA/rhXShHP8+pytSlCGNHP+LFpRBFR4hlaBh9chcBAABoJkc/p41P3ztkWnNoJ2iFaCldchgBAAAoRz/YPm2GS2f8Rz/9Yp9MG1z0R0AWrpo0+3aYZXV9chkBAAAoaB1dchoBAAB9chsBAAAoaCBohWgiSwF1YWgjXXIcAQAAKEc/0AAAAAAAAEc/39syCpQtn0c/nragZZCohGVoGH1yHQEAAGgmRz90euFHrhR7c2gnaIVoKV1yHgEAAChHP/jnSuEkyIxHQA212UT2BJdHv9ZSjK7eaddldWV1WAYAAAB0YXJnZXRyHwEAAEcAAAAAAAAAAHUuUEsHCCQFvN91FAAAdRQAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgBDAG1iLW1wLWdhcC0wMjgyMjgvYnl0ZW9yZGVyRkI/AFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWmxpdHRsZVBLBwiFPeMZBgAAAAYAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABgANABtYi1tcC1nYXAtMDI4MjI4L3ZlcnNpb25GQjAAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMwpQSwcI0Z5nVQIAAAACAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAnACkAbWItbXAtZ2FwLTAyODIyOC8uZGF0YS9zZXJpYWxpemF0aW9uX2lkRkIlAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlowNjM2NDU3NzM3OTQ2NDAxMDUxMzAwMDAwMDI3NDI4MzA3NjI3NTY0UEsHCE3d09koAAAAKAAAAFBLAQIAAAAACAgAAAAAAAAkBbzfdRQAAHUUAAAZAAAAAAAAAAAAAAAAAAAAAABtYi1tcC1nYXAtMDI4MjI4L2RhdGEucGtsUEsBAgAAAAAICAAAAAAAAIU94xkGAAAABgAAABoAAAAAAAAAAAAAAAAAxRQAAG1iLW1wLWdhcC0wMjgyMjgvYnl0ZW9yZGVyUEsBAgAAAAAICAAAAAAAANGeZ1UCAAAAAgAAABgAAAAAAAAAAAAAAAAAVhUAAG1iLW1wLWdhcC0wMjgyMjgvdmVyc2lvblBLAQIAAAAACAgAAAAAAABN3dPZKAAAACgAAAAnAAAAAAAAAAAAAAAAANIVAABtYi1tcC1nYXAtMDI4MjI4Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRQSwYGLAAAAAAAAAAeAy0AAAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAKgEAAAAAAAB4FgAAAAAAAFBLBgcAAAAAohcAAAAAAAABAAAAUEsFBgAAAAAEAAQAKgEAAHgWAAAAAA==" | ./matbench_mp_gap/mb-mp-gap-028228 | /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-011357 | /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-096186 | /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-069736 | /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-032710 | /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-016716 | /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-058602 | /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-052165 | /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-027766 | /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 |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA3MTAyOC9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQBiTzzWyv1pHv6la7Yxf9TNHwAR3fQcRwh9lXXENKEfADIv9KTYESUdAFd7bWlk83Ue/9LD54CtOYmVdcQ4oR7+Sl3R7UgXcRz+pWu2MX/UzR0Aan2SPIMTHZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAGp+bWzcV2FgBAAAAYnESR0Aan5tViZTgWAEAAABjcRNHQBqfm1iVpexYBQAAAGFscGhhcRRHQFkwtrU3xo1YBAAAAGJldGFxFUdAXDDk1+o09VgFAAAAZ2FtbWFxFkdAXM8b9yVMzFgGAAAAdm9sdW1lcRdHQGvgXKgCSFZ1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABCYXEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHAAAAAAAAAABHAAAAAAAAAABHAAAAAAAAAABlaBh9cSVYBgAAAG1hZ21vbXEmRwAAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAAQmFxKFgDAAAAeHl6cSldcSooRwAAAAAAAAAARwAAAAAAAAAARwAAAAAAAAAAZXV9cSsoaB1dcSx9cS0oaCBYAgAAAEFncS5oIksBdWFoI11xLyhHP+AAAAAAAABHP+ldz0N0nuNHP9K7nobpPcdlaBh9cTBoJkcAAAAAAAAAAHNoJ1gCAAAAQWdxMWgpXXEyKEc/zn331VwYcUdAEUu1lNQn3Ee/1sujKC7bjGV1fXEzKGgdXXE0fXE1KGggaC5oIksBdWFoI11xNihHP+AAAAAAAABHP8qIwvIthHNHP+aiMLyLYR1laBh9cTdoJkcAAAAAAAAAAHNoJ1gCAAAAQWdxOGgpXXE5KEdAAo6S2+MU2Ec/8kyXFhRUB0dACUhDjB/7sGV1fXE6KGgdXXE7fXE8KGggWAIAAABHZXE9aCJLAXVhaCNdcT4oRwAAAAAAAAAARz/gAAAAAAAARz/gAAAAAAAAZWgYfXE/aCZHAAAAAAAAAABzaCdYAgAAAEdlcUBoKV1xQShHv/yxLBIsqFVHQAYRkTVx/MdHQAVzJhcV8S5ldX1xQihoHV1xQ31xRChoIFgCAAAAU2VxRWgiSwF1YWgjXXFGKEc/ZgVVVHBEt0c/61vCyWi/MUc/3i4gr3f9PWVoGH1xR2gmRwAAAAAAAAAAc2gnWAIAAABTZXFIaCldcUkoR8AIV67SyTuUR0ASyobakjsmR0AANWUBeJzeZXV9cUooaB1dcUt9cUwoaCBoRWgiSwF1YWgjXXFNKEc/7+n6qquPu0c/3gIWBM8cs0c/60W9dBRO7GVoGH1xTmgmRwAAAAAAAAAAc2gnWAIAAABTZXFPaCldcVAoR0ARwcbA72nnR0AEc6SeGz9GR0AEHcvzqDQ4ZXV9cVEoaB1dcVJ9cVMoaCBoRWgiSwF1YWgjXXFUKEc/47tNjlM/bUc/wpD02l0DO0c/wukKL67ETmVoGH1xVWgmRwAAAAAAAAAAc2gnWAIAAABTZXFWaCldcVcoR0AKJbq6OMQwRz/ooqP+OA26R7/pBIjLt8lqZXV9cVgoaB1dcVl9cVooaCBoRWgiSwF1YWgjXXFbKEc/2Ilk41mBJkc/4P70/Zhxpkc/4OjvqEQBYmVoGH1xXGgmRwAAAAAAAAAAc2gnWAIAAABTZXFdaCldcV4oRz/c2lpJGoKrR0AHShIWlzpzRz/9lx8YAsOAZXVldVgGAAAAdGFyZ2V0cV9HP5s9B8hLXYB1LlBLBwg02GgM9wUAAPcFAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABoAQQBtYi1tcC1nYXAtMDcxMDI4L2J5dGVvcmRlckZCPQBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpabGl0dGxlUEsHCIU94xkGAAAABgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGAA0AG1iLW1wLWdhcC0wNzEwMjgvdmVyc2lvbkZCMABaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlozClBLBwjRnmdVAgAAAAIAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAACcAKQBtYi1tcC1nYXAtMDcxMDI4Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRGQiUAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjA2MzY0NTc3Mzc5NDY0MDEwNTEzMDAwMDAwMTIwNjQ0NjE3OTY0NDNQSwcIRaoAeSgAAAAoAAAAUEsBAgAAAAAICAAAAAAAADTYaAz3BQAA9wUAABkAAAAAAAAAAAAAAAAAAAAAAG1iLW1wLWdhcC0wNzEwMjgvZGF0YS5wa2xQSwECAAAAAAgIAAAAAAAAhT3jGQYAAAAGAAAAGgAAAAAAAAAAAAAAAABHBgAAbWItbXAtZ2FwLTA3MTAyOC9ieXRlb3JkZXJQSwECAAAAAAgIAAAAAAAA0Z5nVQIAAAACAAAAGAAAAAAAAAAAAAAAAADWBgAAbWItbXAtZ2FwLTA3MTAyOC92ZXJzaW9uUEsBAgAAAAAICAAAAAAAAEWqAHkoAAAAKAAAACcAAAAAAAAAAAAAAAAAUgcAAG1iLW1wLWdhcC0wNzEwMjgvLmRhdGEvc2VyaWFsaXphdGlvbl9pZFBLBgYsAAAAAAAAAB4DLQAAAAAAAAAAAAQAAAAAAAAABAAAAAAAAAAqAQAAAAAAAPgHAAAAAAAAUEsGBwAAAAAiCQAAAAAAAAEAAABQSwUGAAAAAAQABAAqAQAA+AcAAAAA" | ./matbench_mp_gap/mb-mp-gap-071028 | /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-017862 | /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-099935 | /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-067416 | /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-097349 | /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-090496 | /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-097009 | /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-064601 | /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-069984 | /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 |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA0ODM5OS9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHwCOlzHMKuZdHv6gguzZ3YF9HP7nzlzvxR9ZlXXENKEfAE3wI0jaZGUdAIQ0OBXxAw0c/uz6YFjbOHWVdcQ4oRz/CNlTQvMZvR7+3EQ+c1g8WR8Ar+agxjOrgZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAI6Yf0UXy+1gBAAAAYnESR0Ajo5psrgmzWAEAAABjcRNHQCv6LRQeu7RYBQAAAGFscGhhcRRHQFbOwRPif0VYBAAAAGJldGFxFUdAVssFeSMU2FgFAAAAZ2FtbWFxFkdATkO8qZCyfFgGAAAAdm9sdW1lcRdHQJJaKuS4NGx1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABMaXEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP+0a2fChvitHP9SeWhLw83NHP+Ioa47EU4JlaBh9cSVYBgAAAG1hZ21vbXEmR4AAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAATGlxKFgDAAAAeHl6cSldcSooR8Ak2OO861EqR0AFOJTvfs0dR8AfPgNq82jFZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/5XLvoTgef0c/5Yoh7OTFPEc/2NKfHr6yAmVoGH1xL2gmRz9QYk3S8an8c2gnWAIAAABMaXEwaCldcTEoR8Ajnd9jxgboR0AWsDWifDYuR8AVJHCgR+DEZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/5YVb2htp6Uc/5VwXDOHluUc/7GzIRSipF2VoGH1xNmgmRz9QYk3S8an8c2gnWAIAAABMaXE3aCldcTgoR8AjdrYSjObxR0AWUNyZmOuLR8AokkXcuQz+ZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/6HlwZBYqDkc/1J0umcZlKkc/sJLxXtJzVWVoGH1xPWgmRwAAAAAAAAAAc2gnWAIAAABMaXE+aCldcT8oR8AiJYB66xroR0AFohBijCKCR7/pZp+EcEh5ZXV9cUAoaB1dcUF9cUIoaCBoIWgiSwF1YWgjXXFDKEc/1JIrGwvKDkc/7RctU0pU40c/sT/HFVLNgmVoGH1xRGgmR4AAAAAAAAAAc2gnWAIAAABMaXFFaCldcUYoR8AeThJIwYKaR0Ae6qJMCSCVR7/qBUqWdWIQZXV9cUcoaB1dcUh9cUkoaCBoIWgiSwF1YWgjXXFKKEc/5az2MqG91Uc/zje5f737Tkc/2+guMeyMMGVoGH1xS2gmRwAAAAAAAAAAc2gnWAIAAABMaXFMaCldcU0oR8Ae+Aaq5pXaRz//EC+k4UgkR8AYBZWuzJmzZXV9cU4oaB1dcU99cVAoaCBoIWgiSwF1YWgjXXFRKEc/1KXU5kvO4Ec/6G3PhpB9Zkc/4gXLQLCfRWVoGH1xUmgmRwAAAAAAAAAAc2gnWAIAAABMaXFTaCldcVQoR8AbO0X+5NJXR0AZxRKJ6IlqR8AfDk9msw9iZXV9cVUoaB1dcVZ9cVcoaCBoIWgiSwF1YWgjXXFYKEc/5bjGH4mIKkc/t1ykm6tBuEc/7deKhdVshGVoGH1xWWgmR4AAAAAAAAAAc2gnWAIAAABMaXFaaCldcVsoR8Ab69TwFoUnRz/lLxdI7AogR8Ap7nqIHBWJZXV9cVwoaB1dcV19cV4oaCBoIWgiSwF1YWgjXXFfKEc/ziiEWJTBmUc/5bChXYhGYEc/7ey+E/dYvWVoGH1xYGgmRwAAAAAAAAAAc2gnWAIAAABMaXFhaCldcWIoR8AV7tqEbvvZR0AWu7bmak4ZR8Ap+A5JaBaIZXV9cWMoaB1dcWR9cWUoaCBoIWgiSwF1YWgjXXFmKEc/1Rl88/F+3kc/1PtLhY92gEc/45eE1uncJ2VoGH1xZ2gmRz9QYk3S8an8c2gnWAIAAABMaXFoaCldcWkoR8AS/oSrEP/+R0AFy1KczkOER8Ag/bh3ltfQZXV9cWooaB1dcWt9cWwoaCBoIWgiSwF1YWgjXXFtKEc/1OKGvZ7cekc/1UtAT/xBr0c/vJPof7C6SGVoGH1xbmgmRz9QYk3S8an8c2gnWAIAAABMaXFvaCldcXAoR8ATPg2SHD+FR0AGfTwTOPF+R7/34zh+RiO7ZXV9cXEoaB1dcXJ9cXMoaCBoIWgiSwF1YWgjXXF0KEc/tzXbhB+00Uc/5a98BAd2l0c/27CS79xGZ2VoGH1xdWgmR4AAAAAAAAAAc2gnWAIAAABMaXF2aCldcXcoR8AQhUVagtmdR0AW79n3mt7IR8AX4cAruPh1ZXV9cXgoaB1dcXl9cXooaCBoIWgiSwF1YWgjXXF7KEc/7/6LW2hbiUc/Qr5zmKkDxUc/Kzuatc5Yk2VoGH1xfGgmRwAAAAAAAAAAc2gnWAIAAABMaXF9aCldcX4oR8AjplD+G+UNR7+louGpu38vRz+5N/BR3McYZXV9cX8oaB1dcYB9cYEoaCBoIWgiSwF1YWgjXXGCKEc/7/fMZPLz00c/M5ME1PvwUUc/4AIlLmK+52VoGH1xg2gmR4AAAAAAAAAAc2gnWAIAAABMaXGEaCldcYUoR8AjfRB3QN+dR7+28HhN7YB0R8AblaxR5tPmZXV9cYYoaB1dcYd9cYgoaCBYAQAAAFZxiWgiSwF1YWgjXXGKKEc/4hErW6Np0kc/292zDoqyS0c/0AYrSAJNN2VoGH1xi2gmRz/+CDEm6XjVc2gnaIloKV1xjChHwB6G8z5VT7NHQA1NmXYcJCVHwAswU6we8FZldX1xjShoHV1xjn1xjyhoIGiJaCJLAXVhaCNdcZAoRz/b5/5LytmuRz/iDbYA2G0URz/n+/zF489zZWgYfXGRaCZHP/4tDlYEGJNzaCdoiWgpXXGSKEfAG7M/82s9+0dAEuMaL/tGMUfAJMJcrc9NzGV1fXGTKGgdXXGUfXGVKGggaIloIksBdWFoI11xlihHP+IVFHm0od5HP+/QG5vn0o1HP+fdhqj8DSxlaBh9cZdoJkc/8NkWhysCDHNoJ2iJaCldcZgoR8Akk0+oNZVUR0Agw370FUo2R8AkiZrv58MSZXV9cZkoaB1dcZp9cZsoaCBoiWgiSwF1YWgjXXGcKEc/29VBcDfLc0c/d2fox38wDEc/0EVaXO3BumVoGH1xnWgmRz/wwIMSbpeNc2gnaIloKV1xnihHwBEOSpJJQipHP3XGL5ssFzxHwAwXYhYUPGhldX1xnyhoHV1xoH1xoShoIGiJaCJLAXVhaCNdcaIoRz/vz9kr1cbGRz/iE/xRHtaFRz/PcsbG+U41ZWgYfXGjaCZHP/DZFocrAgxzaCdoiWgpXXGkKEfAKPdOEzAd50dAEv1YDgPti0fACjSr/r/+uWV1fXGlKGgdXXGmfXGnKGggaIloIksBdWFoI11xqChHP3h9OeeCWrlHP9vXqkttkalHP+giFPMBPu9laBh9caloJkc/8N0vGp++d3NoJ2iJaCldcaooR8AAkIANovIBR0ANIB3xgo/eR8AlAQXZe2gAZXV9casoaB1dcax9ca0oaCBYAQAAAFBxrmgiSwF1YWgjXXGvKEc/7VAEqomr5kc/6Q80wSfTA0c/6rgR1L6zr2VoGH1xsGgmRz9ok3S8an76c2gnaK5oKV1xsShHwCljo5q3OBZHQBo7XDFqKGBHwCcBjMg1g0FldX1xsihoHV1xs31xtChoIGiuaCJLAXVhaCNdcbUoRz/pDAJMi3PnRz/tTMhqvWMiRz/VdpXpNeQTZWgYfXG2aCZHP2iTdLxqfvpzaCdormgpXXG3KEfAKDQNUxXRvEdAHvTGZoG7MkfAEg55eSIvm2V1fXG4KGgdXXG5fXG6KGggaK5oIksBdWFoI11xuyhHP+01LmVuGOJHP9RJ7zda4CBHP9Z5BlEn5c1laBh9cbxoJkc/dHrhR64Ue3NoJ2iuaCldcb0oR8Ak6/ZwseQbR0AFBjkaNW6jR8ATJCWAQskeZXV9cb4oaB1dcb99ccAoaCBormgiSwF1YWgjXXHBKEc/5SeS4UOnSkc/5XcJzLJ1tEc/wDPg7ZYbCmVoGH1xwmgmRz9gYk3S8an8c2gnaK5oKV1xwyhHwCN80juP/MhHQBa0aWDYOMNHv/oddz2p+39ldX1xxChoHV1xxX1xxihoIGiuaCJLAXVhaCNdcccoRz/leeJ0ftf3Rz/lIZsq6Te9Rz/kCXKafEKcZWgYfXHIaCZHP2iTdLxqfvpzaCdormgpXXHJKEfAI3D04/nDEUdAFirKCOmKaUfAIT16vdj3k2V1fXHKKGgdXXHLfXHMKGggaK5oIksBdWFoI11xzShHP+jb7dy82eZHP9R7z89gpd1HP+r687FoF2xlaBh9cc5oJkc/cGJN0vGp/HNoJ2iuaCldcc8oR8AiJDBkKGsRR0AE7bPMaE1HR8AnXHmB0KlZZXV9cdAoaB1dcdF9cdIoaCBormgiSwF1YWgjXXHTKEc/5cT1V9teNUc/zKAgRnF+ckc/5RAhVZAqWmVoGH1x1GgmRz9wYk3S8an8c2gnaK5oKV1x1ShHwB63E9qJ9npHP/0LQGuERe5HwCI6cZ+w44dldX1x1ihoHV1x131x2ChoIGiuaCJLAXVhaCNdcdkoRz/UUL4IjsTURz/tM6MqvO0GRz/rOAUEdrI5ZWgYfXHaaCZHP3R64UeuFHtzaCdormgpXXHbKEfAHcUeLxv5XEdAHsDkeHghGUfAJ4lsGG6RJGV1fXHcKGgdXXHdfXHeKGggaK5oIksBdWFoI11x3yhHP+XdDHrin0dHP7ZME6nV/MxHP8MlXd2Azx1laBh9ceBoJkc/cGJN0vGp/HNoJ2iuaCldceEoR8AcdbXIz+m6Rz/mTNtURlNQR8AAHBHLzeocZXV9ceIoaB1dceN9ceQoaCBormgiSwF1YWgjXXHlKEc/1HksG5HW2Ec/6NhnFIwpGUc/1eE+/282b2VoGH1x5mgmRz9ok3S8an76c2gnaK5oKV1x5yhHwBuBAQCzdwNHQBpLOC4w4qpHwBKq7xIPWE5ldX1x6ChoHV1x6X1x6ihoIGiuaCJLAXVhaCNdcesoRz/Ml5DAVx2eRz/lwWQ45KMCRz/EGYoUwVglZWgYfXHsaCZHP2iTdLxqfvpzaCdormgpXXHtKEfAFe9W+h4cpEdAFxX2JjvIO0fAAM/O7ZWNvGV1fXHuKGgdXXHvfXHwKGggaK5oIksBdWFoI11x8ShHP9UICiUc7/tHP9W8WICfop1HP9fo7BI3ZRxlaBh9cfJoJkc/YGJN0vGp/HNoJ2iuaCldcfMoR8ATUVmU7V2tR0AGxTJjHjO9R8AUn/Gpn56XZXV9cfQoaB1dcfV9cfYoaCBormgiSwF1YWgjXXH3KEc/1bLIlK7ONEc/1RR7rUp7eUc/6/Nt+7EQ2mVoGH1x+GgmRz9ok3S8an76c2gnaK5oKV1x+ShHwBM+P81BbJlHQAW1DwVbOxxHwChL6ohXwl1ldX1x+ihoHV1x+31x/ChoIGiuaCJLAXVhaCNdcf0oRz+2R5ugBBbmRz/l3J6sUwS1Rz/kwi13BpynZWgYfXH+aCZHP3R64UeuFHtzaCdormgpXXH/KEfAEFy0YE6M5UdAFwwxWQjq50fAIfwMNKWvXmV1fXIAAQAAKGgdXXIBAQAAfXICAQAAKGggaK5oIksBdWFoI11yAwEAAChHP8vWPWPjqjRHP7VxXTptuhhHP+VFGIMuniNlaBh9cgQBAABoJkc/aJN0vGp++nNoJ2iuaCldcgUBAAAoR8ADmVpwykoyRz/km11BUr+CR8AiiGQX2saEZXV9cgYBAAAoaB1dcgcBAAB9cggBAAAoaCBormgiSwF1YWgjXXIJAQAAKEc/tYkESxNOvEc/y72yEjZjaUc/xSCLkMJag2VoGH1yCgEAAGgmRz9ok3S8an76c2gnaK5oKV1yCwEAAChHv/285ai7pq5HP/1DCDmpMZ9HwAI3lm7adYBldX1yDAEAAChoHV1yDQEAAH1yDgEAAChoIFgBAAAAT3IPAQAAaCJLAXVhaCNdchABAAAoRz+GKAUsup4hRz/oXA+rGMf4Rz/hzroCGeCnZWgYfXIRAQAAaCZHv3BiTdLxqfxzaCdqDwEAAGgpXXISAQAAKEfADeGqJ5DY90dAGcHS1S7FmEfAHs6hd9Uq/2V1fXITAQAAKGgdXXIUAQAAfXIVAQAAKGggag8BAABoIksBdWFoI11yFgEAAChHP+17P3EvF0VHP+fnve85XkZHP9WjclWy5O9laBh9chcBAABoJkc/aJN0vGp++nNoJ2oPAQAAaCldchgBAAAoR8ApSGzZjzHMR0AZLhPVuBdNR8ASOa4G2s31ZXV9chkBAAAoaB1dchoBAAB9chsBAAAoaCBqDwEAAGgiSwF1YWgjXXIcAQAAKEc/6FXAVkbejEc/ilZlZ2LlqEc/rRDuZM0JM2VoGH1yHQEAAGgmR79ok3S8an76c2gnag8BAABoKV1yHgEAAChHwB4Z38NkE3pHP7GVdCy8CxhHv+bmT+acsx5ldX1yHwEAAChoHV1yIAEAAH1yIQEAAChoIGoPAQAAaCJLAXVhaCNdciIBAAAoRz/n6uNTIQ9ERz/tf0NcdiKcRz/qzda9Zn1jZWgYfXIjAQAAaCZHP2iTdLxqfvpzaCdqDwEAAGgpXXIkAQAAKEfAJ21QYuaoGkdAHv3unLohqEfAJxXGdRUbxWV1fXIlAQAAKGgdXXImAQAAfXInAQAAKGggag8BAABoIksBdWFoI11yKAEAAChHP+z5iKeu2x9HP+QkBo+8ICxHP+qdP2YcaZhlaBh9cikBAABoJke/dHrhR64Ue3NoJ2oPAQAAaCldcioBAAAoR8Anr2zi8WqdR0AU/kd5CUppR8Am8wZa7jCtZXV9cisBAAAoaB1dciwBAAB9ci0BAAAoaCBqDwEAAGgiSwF1YWgjXXIuAQAAKEc/6fg2h/xjPUc/5S7tnn6Fwkc/xoWJVtZQhGVoGH1yLwEAAGgmR7+njU/fO2Rac2gnag8BAABoKV1yMAEAAChHwCZYGS47vYZHQBZbv7sPgbpHwAJ3nEOBefxldX1yMQEAAChoHV1yMgEAAH1yMwEAAChoIGoPAQAAaCJLAXVhaCNdcjQBAAAoRz/stRCYfpGARz/evv+aKYxrRz/VZJkxv8CgZWgYfXI1AQAAaCZHv2iTdLxqfvpzaCdqDwEAAGgpXXI2AQAAKEfAJjYKJ0VLOkdAEBfhG6ub9EfAEiJN9TBN5WV1fXI3AQAAKGgdXXI4AQAAfXI5AQAAKGggag8BAABoIksBdWFoI11yOgEAAChHP++OOhpYGvRHP8n2I/OlKMRHP7X1ZEWkz9llaBh9cjsBAABoJke/aJN0vGp++nNoJ2oPAQAAaCldcjwBAAAoR8AlU4qYiDgSRz/6zLUyuc3UR7/xQH511XjKZXV9cj0BAAAoaB1dcj4BAAB9cj8BAAAoaCBqDwEAAGgiSwF1YWgjXXJAAQAAKEc/7Xqh7M9LrUc/1cmIiie2qEc/6uAcFLOWRWVoGH1yQQEAAGgmRz9ok3S8an76c2gnag8BAABoKV1yQgEAAChHwCUtZQuYrk1HQAZEBCSMLcRHwCc8Z7rO/qRldX1yQwEAAChoHV1yRAEAAH1yRQEAAChoIGoPAQAAaCJLAXVhaCNdckYBAAAoRz/lJa/XyYARRz/p9/RIO9j0Rz/lnxohlE9YZWgYfXJHAQAAaCZHv6gQYk3S8apzaCdqDwEAAGgpXXJIAQAAKEfAJLKpiCkptkdAG05ocxkXtUfAIpho2YerGGV1fXJJAQAAKGgdXXJKAQAAfXJLAQAAKGggag8BAABoIksBdWFoI11yTAEAAChHP+QgDcc97KBHP+z5LaN8RnhHP9VGzvFqOwdlaBh9ck0BAABoJke/dHrhR64Ue3NoJ2oPAQAAaCldck4BAAAoR8AlFTZ0vDliR0Aeo16dBESRR8AR9cjJi3RzZXV9ck8BAAAoaB1dclABAAB9clEBAAAoaCBqDwEAAGgiSwF1YWgjXXJSAQAAKEc/6jcDATxAIkc/4IoDmb2A1Ec/5Xg7VWuXU2VoGH1yUwEAAGgmR7+Yk3S8an76c2gnag8BAABoKV1yVAEAAChHwCTwo1iuAspHQBE6stt27L9HwCJ+Q8wpLDBldX1yVQEAAChoHV1yVgEAAH1yVwEAAChoIGoPAQAAaCJLAXVhaCNdclgBAAAoRz/lKles5SXfRz/l+Cx3AWk3Rz+U0aT4yFNAZWgYfXJZAQAAaCZHv4R64UeuFHtzaCdqDwEAAGgpXXJaAQAAKEfAI62ThLNLnkdAF0fRGmRL2Ue/wndXanYO4GV1fXJbAQAAKGgdXXJcAQAAfXJdAQAAKGggag8BAABoIksBdWFoI11yXgEAAChHP+X5BfCE4tNHP+UlY1FeFoxHP+CiwhcRPpdlaBh9cl8BAABoJke/hocrAgxJunNoJ2oPAQAAaCldcmABAAAoR8Ajx+mW+Oo+R0AWN+CKuOZgR8AchvBy9JeuZXV9cmEBAAAoaB1dcmIBAAB9cmMBAAAoaCBqDwEAAGgiSwF1YWgjXXJkAQAAKEc/5SYM32F57kc/4KUPqZY77Ec/w+W+oLofS2VoGH1yZQEAAGgmR7+CbpeNT987c2gnag8BAABoKV1yZgEAAChHwCICGrHxjWBHQBGOuUNoblpHwABqgMdENVdldX1yZwEAAChoHV1yaAEAAH1yaQEAAChoIGoPAQAAaCJLAXVhaCNdcmoBAAAoRz/exHXF/9QLRz/stHLTshlCRz/qslGxeIh9ZWgYfXJrAQAAaCZHv2iTdLxqfvpzaCdqDwEAAGgpXXJsAQAAKEfAIfJ045pMvEdAHjL5W0TChUfAJwzoS8gib2V1fXJtAQAAKGgdXXJuAQAAfXJvAQAAKGggag8BAABoIksBdWFoI11ycAEAAChHP+CMGP187edHP+o13+DQusNHP8Xx3SeN44NlaBh9cnEBAABoJke/mZmZmZmZmnNoJ2oPAQAAaCldcnIBAAAoR8AiFzgWmL0ER0AbxdsTce8MR8ACEWbWdAkMZXV9cnMBAAAoaB1dcnQBAAB9cnUBAAAoaCBqDwEAAGgiSwF1YWgjXXJ2AQAAKEc/5/NS7g6Q50c/1WrSxze3fEc/1dYyZq+MdWVoGH1ydwEAAGgmR79ok3S8an76c2gnag8BAABoKV1yeAEAAChHwCHeUgZ9EQZHQAZLxyp8gjJHwBKk7lETRuBldX1yeQEAAChoHV1yegEAAH1yewEAAChoIGoPAQAAaCJLAXVhaCNdcnwBAAAoRz/pHNh92vcyRz/LmBd47XybRz/oBFBW2oJCZWgYfXJ9AQAAaCZHP2BiTdLxqfxzaCdqDwEAAGgpXXJ+AQAAKEfAIU45RW8XXkc/+7ujpPn7wkfAJMqJCbbdkWV1fXJ/AQAAKGgdXXKAAQAAfXKBAQAAKGggag8BAABoIksBdWFoI11yggEAAChHP+iZmkVmEKtHP8z+ArpEifNHP+JG3W8xZillaBh9coMBAABoJke/UGJN0vGp/HNoJ2oPAQAAaCldcoQBAAAoR8AhJfNy4EmPRz/9flzq/v7cR8AfjEiNVU2tZXV9coUBAAAoaB1dcoYBAAB9cocBAAAoaCBqDwEAAGgiSwF1YWgjXXKIAQAAKEc/6NyHCcoDREc/zVks13l5E0c/7cCqNHF2u2VoGH1yiQEAAGgmR79QYk3S8an8c2gnag8BAABoKV1yigEAAChHwCE72xcPK0hHP/1ZlcQn9d9HwCnN3cPqizBldX1yiwEAAChoHV1yjAEAAH1yjQEAAChoIGoPAQAAaCJLAXVhaCNdco4BAAAoRz/kLdKLqJU1Rz/e8oJo+2wdRz/qsHNwDzGhZWgYfXKPAQAAaCZHv2iTdLxqfvpzaCdqDwEAAGgpXXKQAQAAKEfAINz8W1+pb0dAEBITIab06EfAJxoGud/5kGV1fXKRAQAAKGgdXXKSAQAAfXKTAQAAKGggag8BAABoIksBdWFoI11ylAEAAChHP+Cmqr8F5MZHP+Uan3iruFVHP+TzJEoMPaZlaBh9cpUBAABoJke/ip++dsi0OXNoJ2oPAQAAaCldcpYBAAAoR8AgdlegrGiPR0AWJ/3KIwLrR8AiEadFetBhZXV9cpcBAAAoaB1dcpgBAAB9cpkBAAAoaCBqDwEAAGgiSwF1YWgjXXKaAQAAKEc/5U5WBBiTdUc/0BpAs3lpo0c/xJSmP8U84WVoGH1ymwEAAGgmR794k3S8an76c2gnag8BAABoKV1ynAEAAChHwB75YWjfc+xHQADLGmDCxYhHwAE863GzejFldX1ynQEAAChoHV1yngEAAH1ynwEAAChoIGoPAQAAaCJLAXVhaCNdcqABAAAoRz/e9hWF+SjLRz/kLZccvKQ2Rz/VQsGmUxBzZWgYfXKhAQAAaCZHv3R64UeuFHtzaCdqDwEAAGgpXXKiAQAAKEfAHxto0XhlZkdAFUroarZcvEfAEh9C9/PSdWV1fXKjAQAAKGgdXXKkAQAAfXKlAQAAKGggag8BAABoIksBdWFoI11ypgEAAChHP9WxGT0S2vlHP+1+e1BYXQ5HP9W7eVLSNOxlaBh9cqcBAABoJkc/cGJN0vGp/HNoJ2oPAQAAaCldcqgBAAAoR8AfFXzLeOjtR0AfPsP0nAIcR8ASeBrEikOCZXV9cqkBAAAoaB1dcqoBAAB9cqsBAAAoaCBqDwEAAGgiSwF1YWgjXXKsAQAAKEc/6XxT2MUolEc/72xdzDj+I0c/zfyjv41JKWVoGH1yrQEAAGgmRz9ok3S8an76c2gnag8BAABoKV1yrgEAAChHwCkl3sp0gL9HQCCgXYXP2gtHwAi7vVx7uIBldX1yrwEAAChoHV1ysAEAAH1ysQEAAChoIGoPAQAAaCJLAXVhaCNdcrIBAAAoRz/peWZDAATeRz+N1vnMXz6qRz/ahDMAB4y8ZWgYfXKzAQAAaCZHv2iTdLxqfvpzaCdqDwEAAGgpXXK0AQAAKEfAH1Ryjzh5j0c/qUdBgInFEUfAFtoxj0ILYGV1fXK1AQAAKGgdXXK2AQAAfXK3AQAAKGggag8BAABoIksBdWFoI11yuAEAAChHP8onJnUJwkxHP++EB4wQbw5HP+K+Gicdpi5laBh9crkBAABoJke/aJN0vGp++nNoJ2oPAQAAaCldcroBAAAoR8Aa4pakqUIrR0AgqwwrhhhnR8AgIlriLBROZXV9crsBAAAoaB1dcrwBAAB9cr0BAAAoaCBqDwEAAGgiSwF1YWgjXXK+AQAAKEc/5SKwfrhsw0c/tC0ttZrXBkc/5SI/8NvKwmVoGH1yvwEAAGgmRz9ok3S8an76c2gnag8BAABoKV1ywAEAAChHwBsdHS83tA9HP+KaAHpQOm5HwCJTNCloJlxldX1ywQEAAChoHV1ywgEAAH1ywwEAAChoIGoPAQAAaCJLAXVhaCNdcsQBAAAoRz/ghLLnyVJvRz/XmhWgJU7vRz/lZnNm/+laZWgYfXLFAQAAaCZHv3R64UeuFHtzaCdqDwEAAGgpXXLGAQAAKEfAGxbMfPNj8UdACHm+zhDct0fAIoaEC+OKdGV1fXLHAQAAKGgdXXLIAQAAfXLJAQAAKGggag8BAABoIksBdWFoI11yygEAAChHP9VhYvwjp3pHP+f04uC1YfdHP+rYmsEL+V1laBh9cssBAABoJke/fKwIMSbpeXNoJ2oPAQAAaCldcswBAAAoR8AbPKBnLQKFR0AZKjYfRn92R8AnPhNUZFVlZXV9cs0BAAAoaB1dcs4BAAB9cs8BAAAoaCBqDwEAAGgiSwF1YWgjXXLQAQAAKEc/3qxIqJBXfEc/1cwAPmlHQUc/1hRK2u+lP2VoGH1y0QEAAGgmR7+GhysCDEm6c2gnag8BAABoKV1y0gEAAChHwBlFwivsngtHQAbMnoKcPvZHwBL2g2nM1OhldX1y0wEAAChoHV1y1AEAAH1y1QEAAChoIGoPAQAAaCJLAXVhaCNdctYBAAAoRz/XqF8vOoAvRz/gifucQxcsRz/FSgghYaSLZWgYfXLXAQAAaCZHv1BiTdLxqfxzaCdqDwEAAGgpXXLYAQAAKEfAGIBY5FCn6EdAEX7q5yPQCUfAAd8qHCPnlmV1fXLZAQAAKGgdXXLaAQAAfXLbAQAAKGggag8BAABoIksBdWFoI11y3AEAAChHP8ymcwZc5mBHP+ineHoPOrFHP7IJY9bqBxplaBh9ct0BAABoJkeAAAAAAAAAAHNoJ2oPAQAAaCldct4BAAAoR8AXxF4r1BOyR0AaNMBtn8kUR7/sL7ZDUr/IZXV9ct8BAAAoaB1dcuABAAB9cuEBAAAoaCBqDwEAAGgiSwF1YWgjXXLiAQAAKEc/zZ0TYTDHc0c/6L5mZ73/VUc/23E0H8I9J2VoGH1y4wEAAGgmR79QYk3S8an8c2gnag8BAABoKV1y5AEAAChHwBfp1ajyM/JHQBorwyYY+DVHwBeRVL2xAbVldX1y5QEAAChoHV1y5gEAAH1y5wEAAChoIGoPAQAAaCJLAXVhaCNdcugBAAAoRz/LiVdBsE6SRz/pGjEOatHbRz/P9m5xTMlcZWgYfXLpAQAAaCZHP1BiTdLxqfxzaCdqDwEAAGgpXXLqAQAAKEfAF5iTuHKIZkdAGp7jpt3+1EfACxmnTDjJI2V1fXLrAQAAKGgdXXLsAQAAfXLtAQAAKGggag8BAABoIksBdWFoI11y7gEAAChHP9AXJSrczXZHP+VLzThXilZHP+UUDlo11nxlaBh9cu8BAABoJke/fKwIMSbpeXNoJ2oPAQAAaCldcvABAAAoR8AWeLEbvCyvR0AWaQHeDsf4R8AiPA8qay/AZXV9cvEBAAAoaB1dcvIBAAB9cvMBAAAoaCBqDwEAAGgiSwF1YWgjXXL0AQAAKEc/3ucEMJFCXUc/xyim/bBEgUc/6oYTxa+iGmVoGH1y9QEAAGgmR7+Yk3S8an76c2gnag8BAABoKV1y9gEAAChHwBYG/UDYof5HP/ce+x7YPT1HwCcNI90pNUhldX1y9wEAAChoHV1y+AEAAH1y+QEAAChoIGoPAQAAaCJLAXVhaCNdcvoBAAAoRz/goKElKS9ORz+6gewo3ZnPRz/FPzu/nrvtZWgYfXL7AQAAaCZHv2iTdLxqfvpzaCdqDwEAAGgpXXL8AQAAKEfAFldZZ4Hcg0c/6vyN0pffm0fAAhCsJHK2w2V1fXL9AQAAKGgdXXL+AQAAfXL/AQAAKGggag8BAABoIksBdWFoI11yAAIAAChHP9W4NI9TxXpHP966x3FuLFhHP+sGRuaZUaBlaBh9cgECAABoJke/iJN0vGp++nNoJ2oPAQAAaCldcgICAAAoR8AWNd3MEKvuR0AQAXc/p7ChR8AndFvCVOSJZXV9cgMCAAAoaB1dcgQCAAB9cgUCAAAoaCBqDwEAAGgiSwF1YWgjXXIGAgAAKEc/1aZCSXufCEc/1BiGnxYFUEc/71nkZ8kSAmVoGH1yBwIAAGgmR7+GhysCDEm6c2gnag8BAABoKV1yCAIAAChHwBLaXtomjkBHQASVBEvAsSNHwCtFxkgUsxVldX1yCQIAAChoHV1yCgIAAH1yCwIAAChoIGoPAQAAaCJLAXVhaCNdcgwCAAAoRz/T/2xxwzvURz/VuiqzssptRz/etkCD07SeZWgYfXINAgAAaCZHv4aHKwIMSbpzaCdqDwEAAGgpXXIOAgAAKEfAEp666K9gQEdABrDSJ8N1JUfAGpPzS+u7kGV1fXIPAgAAKGgdXXIQAgAAfXIRAgAAKGggag8BAABoIksBdWFoI11yEgIAAChHP8cfoEPXxiVHP97qztXme/VHP9UIzybEOgFlaBh9chMCAABoJke/mZmZmZmZmnNoJ2oPAQAAaCldchQCAAAoR8AQUwjqSTyJR0AQUlAKeKQjR8ASHCP3+kVPZXV9chUCAAAoaB1dchYCAAB9chcCAAAoaCBqDwEAAGgiSwF1YWgjXXIYAgAAKEc/177zewxlv0c/uC5gu4Gg1Ec/5V7vKRgnPmVoGH1yGQIAAGgmR790euFHrhR7c2gnag8BAABoKV1yGgIAAChHwBAKQ95JcV5HP+dI0YqV7edHwCKWbUcO8btldX1yGwIAAChoHV1yHAIAAH1yHQIAAChoIGoPAQAAaCJLAXVhaCNdch4CAAAoRz/Vru9sNAXBRz/IGxNWyeY+Rz/UwZbjscCtZWgYfXIfAgAAaCZHv6eNT987ZFpzaCdqDwEAAGgpXXIgAgAAKEfAEMxW7IvzJ0c/+PdYexBD8kfAEe2VU3w09WV1fXIhAgAAKGgdXXIiAgAAfXIjAgAAKGggag8BAABoIksBdWFoI11yJAIAAChHP7Q8VkeKWDNHP+UYeyZm8f1HP8R37zpf+DhlaBh9ciUCAABoJkc/aJN0vGp++nNoJ2oPAQAAaCldciYCAAAoR8APuFiM95AZR0AWaKefAnwHR8ABRMoiD8QkZXV9cicCAAAoaB1dcigCAAB9cikCAAAoaCBqDwEAAGgiSwF1YWgjXXIqAgAAKEc/73qyKDDLpUc/6XxnKVnrhEc/5371eRNnO2VoGH1yKwIAAGgmRz9gYk3S8an8c2gnag8BAABoKV1yLAIAAChHwCrgyX7dmeNHQBq1wXcCCIdHwCQr+ell7AFldX1yLQIAAChoHV1yLgIAAH1yLwIAAChoIGoPAQAAaCJLAXVhaCNdcjACAAAoRz+NMg+cqxv4Rz/pfC9glcH0Rz/tQUGj5EtEZWgYfXIxAgAAaCZHv2iTdLxqfvpzaCdqDwEAAGgpXXIyAgAAKEfADx1ylFN9okdAGtOzdsSa4kfAKWcqPrTvDGV1fXIzAgAAKGgdXXI0AgAAfXI1AgAAKGggag8BAABoIksBdWFoI11yNgIAAChHP7oxRBq3EHhHP+CjHvkUfmdHP+VLpFNb8pplaBh9cjcCAABoJke/aJN0vGp++nNoJ2oPAQAAaCldcjgCAAAoR8ALiz3DPpUQR0AReI00Hhv4R8AifFNYzox5ZXV9cjkCAAAoaB1dcjoCAAB9cjsCAAAoaCBqDwEAAGgiSwF1YWgjXXI8AgAAKEc/yB2hUJ0mbEc/1arwY9W9YUc/6l6VgdzkcmVoGH1yPQIAAGgmR7+oEGJN0vGqc2gnag8BAABoKV1yPgIAAChHwAsP5iF+Z+RHQAZtDhIdihRHwCbxTsDRRRRldX1yPwIAAChoHV1yQAIAAH1yQQIAAChoIGoPAQAAaCJLAXVhaCNdckICAAAoRz+4IU5ZVFofRz/Xt/i1CAoQRz/FgJzd8bg/ZWgYfXJDAgAAaCZHv3R64UeuFHtzaCdqDwEAAGgpXXJEAgAAKEfABaid5gd+9kdACR6538dYzEfAAmft9Cc8+mV1fXJFAgAAKGgdXXJGAgAAfXJHAgAAKGggag8BAABoIksBdWFoI11ySAIAAChHP9AuMYvpLNVHP7QKCprjm5tHP8TJE1nO/lVlaBh9ckkCAABoJkc/aJN0vGp++nNoJ2oPAQAAaCldckoCAAAoR8AGvB0QCYG0Rz/kgY6VwFwnR8AB5kV+slCUZXV9cksCAAAoaB1dckwCAAB9ck0CAAAoaCBqDwEAAGgiSwF1YWgjXXJOAgAAKEc/zrVz1TnYv0c/75Uwo+HHBUc/7i79ycTakGVoGH1yTwIAAGgmR79wYk3S8an8c2gnag8BAABoKV1yUAIAAChHwBwe/o2he3dHQCCi1q1PCPJHwCog51tPNz1ldX1yUQIAAChoHV1yUgIAAH1yUwIAAChoIGoPAQAAaCJLAXVhaCNdclQCAAAoRz/KHfgjEdLmRz+Rgl5pl8k1Rz/ogM1v3+HSZWgYfXJVAgAAaCZHP2BiTdLxqfxzaCdqDwEAAGgpXXJWAgAAKEe//6kgeQcMaEc/sTHRBC+ApEfAJWBSvrSfcmV1fXJXAgAAKGgdXXJYAgAAfXJZAgAAKGggag8BAABoIksBdWFoI11yWgIAAChHP7QqbhKtK8hHP9AnWP+giaNHP+UvaK4UT+5laBh9clsCAABoJkc/aJN0vGp++nNoJ2oPAQAAaCldclwCAAAoR7/+i8whsT9YR0AAtTeAUG1TR8Aic3EdJM25ZXV9cl0CAAAoaB1dcl4CAAB9cl8CAAAoaCBqDwEAAGgiSwF1YWgjXXJgAgAAKEc/76MLMmMpm0c/zqRVn8Sr7Ec/3GGTo4tf8GVoGH1yYQIAAGgmR79ok3S8an76c2gnag8BAABoKV1yYgIAAChHwCWhdlWOzO5HP/9FHBb7eW1HwBhPCZk9DVNldX1yYwIAAChoHV1yZAIAAH1yZQIAAChoIGoPAQAAaCJLAXVhaCNdcmYCAAAoRz+Q14mUPeUTRz/KDx7W2sKvRz/RAU9K6+GQZWgYfXJnAgAAaCZHP2iTdLxqfvpzaCdqDwEAAGgpXXJoAgAAKEe/8djxgeVzHEc/+2AXG1FhaUfADYvDVowue2V1ZXVYBgAAAHRhcmdldHJpAgAARz/vfO2RaHKwdS5QSwcI0bCW5asxAACrMQAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAaAA0AbWItbXAtZ2FwLTA0ODM5OS9ieXRlb3JkZXJGQgkAWlpaWlpaWlpabGl0dGxlUEsHCIU94xkGAAAABgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGAA0AG1iLW1wLWdhcC0wNDgzOTkvdmVyc2lvbkZCMABaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlozClBLBwjRnmdVAgAAAAIAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAACcAKQBtYi1tcC1nYXAtMDQ4Mzk5Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRGQiUAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjA2MzY0NTc3Mzc5NDY0MDEwNTEzMDAwMDAwMjcwNjc0NjI2MDA3NTBQSwcIua3ioygAAAAoAAAAUEsBAgAAAAAICAAAAAAAANGwluWrMQAAqzEAABkAAAAAAAAAAAAAAAAAAAAAAG1iLW1wLWdhcC0wNDgzOTkvZGF0YS5wa2xQSwECAAAAAAgIAAAAAAAAhT3jGQYAAAAGAAAAGgAAAAAAAAAAAAAAAAD7MQAAbWItbXAtZ2FwLTA0ODM5OS9ieXRlb3JkZXJQSwECAAAAAAgIAAAAAAAA0Z5nVQIAAAACAAAAGAAAAAAAAAAAAAAAAABWMgAAbWItbXAtZ2FwLTA0ODM5OS92ZXJzaW9uUEsBAgAAAAAICAAAAAAAALmt4qMoAAAAKAAAACcAAAAAAAAAAAAAAAAA0jIAAG1iLW1wLWdhcC0wNDgzOTkvLmRhdGEvc2VyaWFsaXphdGlvbl9pZFBLBgYsAAAAAAAAAB4DLQAAAAAAAAAAAAQAAAAAAAAABAAAAAAAAAAqAQAAAAAAAHgzAAAAAAAAUEsGBwAAAACiNAAAAAAAAAEAAABQSwUGAAAAAAQABAAqAQAAeDMAAAAA" | ./matbench_mp_gap/mb-mp-gap-048399 | /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 |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA1NTM0OS9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHP4JEzQ6REmJHwCMR01hXLxFHP2jYtDao3oZlXXENKEfAJwY37Vcw6Uc/KEOYsRFacEc/cPHwHN4HMmVdcQ4oRz9Rjdx3DtUwRz9BS0Fx5UqdR8A2+1IoQObQZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAIxHT9IoQOlgBAAAAYnESR0AnBjgGVR3GWAEAAABjcRNHQDb7UijGMk9YBQAAAGFscGhhcRRHQFaBfRr6Fd5YBAAAAGJldGFxFUdAVoFAIKbKVVgFAAAAZ2FtbWFxFkdAVoN9ODPralgGAAAAdm9sdW1lcRdHQKO1O1FobFV1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABMaXEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP+gN93SWKfhHP9ATlfRzhN1HP+/05CgzJPBlaBh9cSVYBgAAAG1hZ21vbXEmR4AAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAATGlxKFgDAAAAeHl6cSldcSooR8AHEnqN3WyHR8AcqswTsv0UR8A28n4/Rnv7ZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/5+8GYvCQIEc/5+wsU3AUkEc/6BKtdvEjGGVoGH1xL2gmRwAAAAAAAAAAc2gnWAIAAABMaXEwaCldcTEoR8AhMpHUR3ZZR8AchfVU8wKoR8AxSIg2eeuhZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/5/56r0itbkc/0A7EqWfC3Uc/6ADzsGZkuWVoGH1xNmgmRwAAAAAAAAAAc2gnWAIAAABMaXE3aCldcTgoR8AHDCBFUZIrR8AcmHkOR4gsR8AxPFOQQQN7ZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/0BL+PzWf9Uc/4AkzoEB8yEc/695Zx8d/W2VoGH1xPWgmRwAAAAAAAAAAc2gnWAIAAABMaXE+aCldcT8oR8AXEDXM6txfR8ADJ1TOtIwxR8A0AwOMiAQrZXV9cUAoaB1dcUF9cUIoaCBoIWgiSwF1YWgjXXFDKEc/zyf8c1iSPUc/XmcTinZmDkc/69uIzO2u8GVoGH1xRGgmRwAAAAAAAAAAc2gnWAIAAABMaXFFaCldcUYoR7+Ssk0vF5ZhR8ACkCfX51bvR8A0AYaow63SZXV9cUcoaB1dcUh9cUkoaCBoIWgiSwF1YWgjXXFKKEc/6Auw6JWrI0c/0KDONoRLf0c/0CBIf6CfHGVoGH1xS2gmRwAAAAAAAAAAc2gnWAIAAABMaXFMaCldcU0oR8AH31cKcZhNR8AcqHynEdWCR8AXJkG3lhe1ZXV9cU4oaB1dcU99cVAoaCBoIWgiSwF1YWgjXXFRKEc/z7twWQN8YUc/34WJ4mxxQkc/1/0xxHM3BGVoGH1xUmgmRwAAAAAAAAAAc2gnWAIAAABMaXFTaCldcVQoR8AWq24/8n1VR8AC6GBXLdPbR8AhOQwtFTnjZXV9cVUoaB1dcVZ9cVcoaCBoIWgiSwF1YWgjXXFYKEc/z/d/J/5Ly0c/deMDb/cI4Ec/2BNDydlSbGVoGH1xWWgmRwAAAAAAAAAAc2gnWAIAAABMaXFaaCldcVsoR7+uJgOTZo6IR8ADDFl/4zdXR8AhSe1X/GIZZXV9cVwoaB1dcV19cV4oaCBoIWgiSwF1YWgjXXFfKEc/78Km/rH3M0c/6AeoH8RAjEc/7Ayh+eVev2VoGH1xYGgmRwAAAAAAAAAAc2gnWAIAAABMaXFhaCldcWIoR8AhRSi7gJYKR8Ai7PV35wsrR8A0I2mVROCwZXV9cWMoaB1dcWR9cWUoaCBoIWgiSwF1YWgjXXFmKEc/7/1UuhaRvUc/z/QArc/cd0c/6/tyNtQnimVoGH1xZ2gmRwAAAAAAAAAAc2gnWAIAAABMaXFoaCldcWkoR8AG6WeaRoi1R8AjD/meCdrIR8A0F5hBszL/ZXV9cWooaB1dcWt9cWwoaCBoIWgiSwF1YWgjXXFtKEc/34fFhrJhPEc/4BBR7Ny3pkc/5/WfeYJ36mVoGH1xbmgmRwAAAAAAAAAAc2gnWAIAAABMaXFvaCldcXAoR8AXGGGz7QYpR8ASya20L3QHR8AxNB+6x9vXZXV9cXEoaB1dcXJ9cXMoaCBoIWgiSwF1YWgjXXF0KEc/35QvwpBd3Ec/R4OqRAvIi0c/5/aam80ljWVoGH1xdWgmR4AAAAAAAAAAc2gnWAIAAABMaXF2aCldcXcoR79pC7F+mdUwR8AS0SwBWluAR8AxNVvYHgGdZXV9cXgoaB1dcXl9cXooaCBoIWgiSwF1YWgjXXF7KEc/77+tJDryxUc/z/0g/XuWTkc/2B4rQ/uCbWVoGH1xfGgmRwAAAAAAAAAAc2gnWAIAAABMaXF9aCldcX4oR8AG8TNRawbMR8Ai614vKKFkR8AhUBZeQOw/ZXV9cX8oaB1dcYB9cYEoaCBoIWgiSwF1YWgjXXGCKEc/4EMwUQCjlEc/3+poiVZVd0c/4ASV5tyYcmVoGH1xg2gmR4AAAAAAAAAAc2gnWAIAAABMaXGEaCldcYUoR8AW8X3lslkNR8ATYYofS4e4R8AnAA/cae7lZXV9cYYoaB1dcYd9cYgoaCBoIWgiSwF1YWgjXXGJKEc/j3RESoe4nEc/z9W/5YiwaEc/wCqpYWLGdGVoGH1ximgmRwAAAAAAAAAAc2gnWAIAAABMaXGLaCldcYwoR8AG50LdrgkMR7/CutypR9YcR8AHNmVMFrm3ZXV9cY0oaB1dcY59cY8oaCBoIWgiSwF1YWgjXXGQKEc/3/hCcWmktEc/4Bc0r7UO60c/z/y2SX2ibWVoGH1xkWgmRwAAAAAAAAAAc2gnWAIAAABMaXGSaCldcZMoR8AXIsZmHUmdR8ATDPuCHAjRR8AW9UcsllpTZXV9cZQoaB1dcZV9cZYoaCBoIWgiSwF1YWgjXXGXKEc/amqUyVBAikc/7/4cSrlhtkc/YOQDSjdbt2VoGH1xmGgmR4AAAAAAAAAAc2gnWAIAAABMaXGZaCldcZooR8AnBNfVvRtHR7+fSzGB3Td9R7+mI24IV0zZZXV9cZsoaB1dcZx9cZ0oaCBoIWgiSwF1YWgjXXGeKEc/fCMr/wxlE0c/4AWB2jVAKUc/THcEGGiBn2VoGH1xn2gmRwAAAAAAAAAAc2gnWAIAAABMaXGgaCldcaEoR8AXDhRsOCrDR7+wvnP2oX8gR7+STPKKxMkGZXV9caIoaB1dcaN9caQoaCBoIWgiSwF1YWgjXXGlKEc/VneQsDvydEc/JK3h+wdHyEc/5/vqfGAi1WVoGH1xpmgmRwAAAAAAAAAAc2gnWAIAAABMaXGnaCldcagoR79QZohH53iER7+J95vzgPhQR8AxOY5vu4CEZXV9cakoaB1dcap9casoaCBoIWgiSwF1YWgjXXGsKEc/cwV+GTWGH0c/4Aek9Rduskc/6AR2UZX0yWVoGH1xrWgmRwAAAAAAAAAAc2gnWAIAAABMaXGuaCldca8oR8AXEFpcwO7pR7+ma6PTbB5sR8AxPylFOEx/ZXV9cbAoaB1dcbF9cbIoaCBoIWgiSwF1YWgjXXGzKEc/4BHdcrdXm0c/5/e0bIO22Uc/7ATNigwH9mVoGH1xtGgmRwAAAAAAAAAAc2gnWAIAAABMaXG1aCldcbYoR8AhO+vm2aNWR8ATJoC7dyDjR8A0HiwH5ex+ZXV9cbcoaB1dcbh9cbkoaCBoIWgiSwF1YWgjXXG6KEc/39YHCDH9qUc/z6eTglNW6kc/6+x0or8yL2VoGH1xu2gmRwAAAAAAAAAAc2gnWAIAAABMaXG8aCldcb0oR8AGu5grt2kwR8AS+EtpK1ZMR8A0DTim4L3lZXV9cb4oaB1dcb99ccAoaCBoIWgiSwF1YWgjXXHBKEc/77QCxq7QjUc/7/rRLILq1kc/3/tc7ZbG1mVoGH1xwmgmRwAAAAAAAAAAc2gnWAIAAABMaXHDaCldccQoR8Am/bC7akhxR8Ai5E/Yvp3jR8Am9FXfLNf2ZXV9ccUoaB1dccZ9cccoaCBoIWgiSwF1YWgjXXHIKEc/7+/aqQNu9Uc/3+2DcONCBEc/4AqLr0sxrWVoGH1xyWgmRwAAAAAAAAAAc2gnWAIAAABMaXHKaCldccsoR8AW70A4sgmaR8AjCAVmHzIQR8AnB9yZrbG+ZXV9ccwoaB1dcc19cc4oaCBoIWgiSwF1YWgjXXHPKEc/37HcGx5peEc/594iRM5mKkc/4/ZMgrqE92VoGH1x0GgmRwAAAAAAAAAAc2gnWAIAAABMaXHRaCldcdIoR8AhKbFd21EfR8AS4sgA7AMDR8Asqd4znZU/ZXV9cdMoaB1dcdR9cdUoaCBoIWgiSwF1YWgjXXHWKEc/4AbbsZcRVEc/0B0yH7fWRkc/4/KIMr7vFGVoGH1x12gmR4AAAAAAAAAAc2gnWAIAAABMaXHYaCldcdkoR8AHJbbaIKx3R8ATGZ1pQgy3R8AspX7J2Q91ZXV9cdooaB1dcdt9cdwoaCBoIWgiSwF1YWgjXXHdKEc/79GBPICO3Ec/7/FLwks+mEc/z8v+hi1WJGVoGH1x3mgmRwAAAAAAAAAAc2gnWAIAAABMaXHfaCldceAoR8Am9vYSYkW4R8Ai9fTGPqU+R8AWzqeWafGJZXV9ceEoaB1dceJ9ceMoaCBoIWgiSwF1YWgjXXHkKEc/c6iZO9C7mkc/39vKFbhOEEc/z9sZwZ0Y1WVoGH1x5WgmRwAAAAAAAAAAc2gnWAIAAABMaXHmaCldcecoR8AW69kD+cnlR7+nUNFjixrtR8AW3rJnVfs7ZXV9cegoaB1dcel9ceooaCBoIWgiSwF1YWgjXXHrKEc/4EF7ZVESl0c/5/liC+O4+Ec/2AhFqYJv3GVoGH1x7GgmRwAAAAAAAAAAc2gnWAIAAABMaXHtaCldce4oR8AhPWBzdBlQR8ATX4aFtZlgR8AhQA5I3L+/ZXV9ce8oaB1dcfB9cfEoaCBoIWgiSwF1YWgjXXHyKEc/4GSQs2v9qkc/0EW5qFfNcUc/2CCi4sOEJGVoGH1x82gmRwAAAAAAAAAAc2gnWAIAAABMaXH0aCldcfUoR8AHYF5Tv+FSR8ATiW64iTMuR8AhUphmSOhmZXV9cfYoaB1dcfd9cfgoaCBoIWgiSwF1YWgjXXH5KEc/3/OzAB0GS0c/6AuXrgcO6Ec/wEm2Fv3IbWVoGH1x+mgmRwAAAAAAAAAAc2gnWAIAAABMaXH7aCldcfwoR8AhSqegJMUgR8ATCki0W6fnR8AHW7qqNvojZXV9cf0oaB1dcf59cf8oaCBoIWgiSwF1YWgjXXIAAQAAKEc/329pxUCRa0c/0Ch3AhUDHEc/wAkhO+TdkGVoGH1yAQEAAGgmRwAAAAAAAAAAc2gnWAIAAABMaXICAQAAaCldcgMBAAAoR8AHNzM6DLwXR8ASu4wFHc5GR8AHAz6ba9c0ZXV9cgQBAAAoaB1dcgUBAAB9cgYBAAAoaCBYAgAAAFpucgcBAABoIksBdWFoI11yCAEAAChHP3uCOdaQb/pHP+f6Ie+T9xhHP+P6JzMfvQplaBh9cgkBAABoJkcAAAAAAAAAAHNoJ1gCAAAAWm5yCgEAAGgpXXILAQAAKEfAIUARrHcj3Ee/sEX2VP/kykfALLAnyvQshWV1fXIMAQAAKGgdXXINAQAAfXIOAQAAKGggagcBAABoIksBdWFoI11yDwEAAChHP33sMZb72oFHP9ASda4s+YhHP+P8pKZoCSllaBh9chABAABoJkeAAAAAAAAAAHNoJ1gCAAAAWm5yEQEAAGgpXXISAQAAKEfABx9HP7BDM0e/sbxCKCQiY0fALLTJSXWqhWV1fXITAQAAKGgdXXIUAQAAfXIVAQAAKGggagcBAABoIksBdWFoI11yFgEAAChHP++IYoTab85HP+flI/vdsXdHP9fpLLST8ONlaBh9chcBAABoJkcAAAAAAAAAAHNoJ1gCAAAAWm5yGAEAAGgpXXIZAQAAKEfAISyh/oPqekfAIspfPwPGwEfAISj8ccNnQmV1fXIaAQAAKGgdXXIbAQAAfXIcAQAAKGggagcBAABoIksBdWFoI11yHQEAAChHP+AnruXcEmVHP0V1yIQSybFHP+AJlfYhBAdlaBh9ch4BAABoJkcAAAAAAAAAAHNoJ1gCAAAAWm5yHwEAAGgpXXIgAQAAKEe/ZHj9u92ngkfAE0DZ4LQEPkfAJwhN3uK+emV1fXIhAQAAKGgdXXIiAQAAfXIjAQAAKGggagcBAABoIksBdWFoI11yJAEAAChHP+/x186Ijq9HP+fzcDokvvxHP7/iFosG2bllaBh9ciUBAABoJkeAAAAAAAAAAHNoJ1gCAAAAWm5yJgEAAGgpXXInAQAAKEfAITb/f23wWkfAIwlI0WYv6EfABtlL57LFpGV1fXIoAQAAKGgdXXIpAQAAfXIqAQAAKGggagcBAABoIksBdWFoI11yKwEAAChHP9/MbGo2f5lHP+/+B9g7ldhHP9AJVBxh4HBlaBh9ciwBAABoJkcAAAAAAAAAAHNoJ1gCAAAAWm5yLQEAAGgpXXIuAQAAKEfAJwJlEzOUJkfAEvLDzXo8P0fAFwLxEt33j2V1fXIvAQAAKGgdXXIwAQAAfXIxAQAAKGggagcBAABoIksBdWFoI11yMgEAAChHP+AIfCrI1nNHP+AEwnH/951HPzvuyPX9naVlaBh9cjMBAABoJkeAAAAAAAAAAHNoJ1gCAAAAWm5yNAEAAGgpXXI1AQAAKEfAFwh9jNC+T0fAExvX5T5tOEe/eWogFKFN32V1fXI2AQAAKGgdXXI3AQAAfXI4AQAAKGggagcBAABoIksBdWFoI11yOQEAAChHP9/+VEPPDMNHP+/6afkYBFlHPy3gZbDe2pZlaBh9cjoBAABoJkeAAAAAAAAAAHNoJ1gCAAAAWm5yOwEAAGgpXXI8AQAAKEfAJv/qfy5n60fAExCj64msLEc/Ov6if+0Z4GV1fXI9AQAAKGgdXXI+AQAAfXI/AQAAKGggWAEAAABQckABAABoIksBdWFoI11yQQEAAChHP+gUVrmgH0VHP+/pKAy5dtpHP+v/iWfzLmBlaBh9ckIBAABoJkcAAAAAAAAAAHNoJ2pAAQAAaCldckMBAAAoR8Am8d2Zf/6XR8AcslE4Z87YR8A0Ge7HQIIkZXV9ckQBAAAoaB1dckUBAAB9ckYBAAAoaCBqQAEAAGgiSwF1YWgjXXJHAQAAKEc/5+RpxxkDskc/35cNreiGEUc/7ANe9QL21WVoGH1ySAEAAGgmR4AAAAAAAAAAc2gnakABAABoKV1ySQEAAChHwBay7ZDZ2iZHwBx5StOMSRVHwDQdOWla0aBldX1ySgEAAChoHV1ySwEAAH1yTAEAAChoIGpAAQAAaCJLAXVhaCNdck0BAAAoRz/oCb9xb4PxRz90juBYGfJvRz/kA4G/szPKZWgYfXJOAQAAaCZHgAAAAAAAAABzaCdqQAEAAGgpXXJPAQAAKEe/qc9AoLwZPkfAHKYEcZc7YEfALL4C1RTqvGV1fXJQAQAAKGgdXXJRAQAAfXJSAQAAKGggakABAABoIksBdWFoI11yUwEAAChHP+gbyyeGK9RHP+AM7en94BVHP+QQQtNkQJxlaBh9clQBAABoJkeAAAAAAAAAAHNoJ2pAAQAAaCldclUBAAAoR8AXEUEe3fLVR8Acu24ko0yXR8Asz0aE+iOsZXV9clYBAAAoaB1dclcBAAB9clgBAAAoaCBqQAEAAGgiSwF1YWgjXXJZAQAAKEc/z+jvQkKar0c/6CtOcn7NkEc/6AagviYV6WVoGH1yWgEAAGgmR4AAAAAAAAAAc2gnakABAABoKV1yWwEAAChHwCFiRdRQPq1HwAMC+3/vfFJHwDFAQdr//yZldX1yXAEAAChoHV1yXQEAAH1yXgEAAChoIGpAAQAAaCJLAXVhaCNdcl8BAAAoRz/P9nI3qucfRz/QRGA292L4Rz/oAeQLLNnTZWgYfXJgAQAAaCZHAAAAAAAAAABzaCdqQAEAAGgpXXJhAQAAKEfAB2Jni2N0l0fAAws5lEQ8B0fAMT1is3aQSmV1fXJiAQAAKGgdXXJjAQAAfXJkAQAAKGggakABAABoIksBdWFoI11yZQEAAChHP+fc7hJBy/1HP+/0ZZgKTWFHP9fLSB0lKdtlaBh9cmYBAABoJkeAAAAAAAAAAHNoJ2pAAQAAaCldcmcBAAAoR8Am+kKWaEPYR8AccIzCf9R/R8AhE1s6W+4sZXV9cmgBAAAoaB1dcmkBAAB9cmoBAAAoaCBqQAEAAGgiSwF1YWgjXXJrAQAAKEc/6BrSM5QBKUc/4AZBgtc1XEc/2BIJwsxt12VoGH1ybAEAAGgmRwAAAAAAAAAAc2gnakABAABoKV1ybQEAAChHwBcH7XCuXdBHwBy6aC2JTZxHwCFHNwBSQRJldX1ybgEAAChoHV1ybwEAAH1ycAEAAChoIGpAAQAAaCJLAXVhaCNdcnEBAAAoRz/PwjPBo3jrRz/oCVagoJ7xRz/gAvFsPmyiZWgYfXJyAQAAaCZHgAAAAAAAAABzaCdqQAEAAGgpXXJzAQAAKEfAIUn5qVP8BEfAAuwsTA6Gv0fAJv2SZ+NOgGV1fXJ0AQAAKGgdXXJ1AQAAfXJ2AQAAKGggakABAABoIksBdWFoI11ydwEAAChHP9AHKPPqHRVHP88QcWdLaLRHP9/XD0XuINplaBh9cngBAABoJkeAAAAAAAAAAHNoJ2pAAQAAaCldcnkBAAAoR8AGVDAtPt3NR8ADGbq9FgVqR8Am3QP3DUPPZXV9cnoBAAAoaB1dcnsBAAB9cnwBAAAoaCBqQAEAAGgiSwF1YWgjXXJ9AQAAKEc/5/H5BpGUkkc/UVUcvPob5Uc/v030KbMBy2VoGH1yfgEAAGgmR4AAAAAAAAAAc2gnakABAABoKV1yfwEAAChHv3YBmq1yXshHwByJ9CNwUuhHwAZ2y3rSbZxldX1ygAEAAChoHV1ygQEAAH1yggEAAChoIGpAAQAAaCJLAXVhaCNdcoMBAAAoRz/oDLwV8FdBRz/gHSxLN4vdRz/ALlRmtJTzZWgYfXKEAQAAaCZHAAAAAAAAAABzaCdqQAEAAGgpXXKFAQAAKEfAFykx/y4lEUfAHKnAoXLE1EfABzTun2mOOGV1fXKGAQAAKGgdXXKHAQAAfXKIAQAAKGggakABAABoIksBdWFoI11yiQEAAChHP8+gGr0aqCJHP+ge2EJ2yAhHP9A0Vl5bgANlaBh9cooBAABoJkcAAAAAAAAAAHNoJ2pAAQAAaCldcosBAAAoR8AhWZbwzHNkR8AC2B6V1g1sR8AXQokdU5ibZXV9cowBAAAoaB1dco0BAAB9co4BAAAoaCBqQAEAAGgiSwF1YWgjXXKPAQAAKEc/0AqyYI/it0c/z7vRvUx8L0c/0Am58tV1EmVoGH1ykAEAAGgmRwAAAAAAAAAAc2gnakABAABoKV1ykQEAAChHwAbQCGhfrkJHwAMeNa7bB8tHwBcHdnVMGEpldX1ykgEAAChoHV1ykwEAAH1ylAEAAChoIGpAAQAAaCJLAXVhaCNdcpUBAAAoRz/QE2AO3mouRz/n1rPQ/V4PRz8JI710ajUoZWgYfXKWAQAAaCZHAAAAAAAAAABzaCdqQAEAAGgpXXKXAQAAKEfAISXNeUEmpEfAAyiirw68lUc/ZnXcol/s9mV1fXKYAQAAKGgdXXKZAQAAfXKaAQAAKGggakABAABoIksBdWFoI11ymwEAAChHP9AXnLSBJoZHP8/VA715yJlHP+/u3aOJsnFlaBh9cpwBAABoJkeAAAAAAAAAAHNoJ2pAAQAAaCldcp0BAAAoR8AG4IHDmTzkR8ADLMt6JjvnR8A27o6Pupw3ZXV9cp4BAAAoaB1dcp8BAAB9cqABAAAoaCBYAQAAAFNyoQEAAGgiSwF1YWgjXXKiAQAAKEc/5CfJbUbVUkc/7KOeX/zqzUc/sciF6zv4qmVoGH1yowEAAGgmR4AAAAAAAAAAc2gnWAEAAABTcqQBAABoKV1ypQEAAChHwCSYQGE0NyBHwBgFfqj7rTNHv/l0D6fQ1gZldX1ypgEAAChoHV1ypwEAAH1yqAEAAChoIGqhAQAAaCJLAXVhaCNdcqkBAAAoRz/kRcTl+JfXRz/ZTR42IPlKRz+xzkRGKweWZWgYfXKqAQAAaCZHgAAAAAAAAABzaCdqpAEAAGgpXXKrAQAAKEfAEi57cUhHcUfAGClS65FdUUe/+YS7Yi2DS2V1fXKsAQAAKGgdXXKtAQAAfXKuAQAAKGggaqEBAABoIksBdWFoI11yrwEAAChHP+QQtZ+0kMFHP+yrN0Cz+kNHP+pR4yxfr2hlaBh9crABAABoJkeAAAAAAAAAAHNoJ2qkAQAAaCldcrEBAAAoR8AknVFHv/oER8AX6ZU0n5I+R8Ay5ZKGRD8aZXV9crIBAAAoaB1dcrMBAAB9crQBAAAoaCBqoQEAAGgiSwF1YWgjXXK1AQAAKEc/5A6zvNtoG0c/2RQ66reZX0c/6kdchZH6v2VoGH1ytgEAAGgmRwAAAAAAAAAAc2gnaqQBAABoKV1ytwEAAChHwBIEyZ+NdsJHwBfnSV4GPjRHwDLei/zPqYtldX1yuAEAAChoHV1yuQEAAH1yugEAAChoIGqhAQAAaCJLAXVhaCNdcrsBAAAoRz/BXHfllMTJRz/knAzQ883uRz/uO/AwqhbqZWgYfXK8AQAAaCZHAAAAAAAAAABzaCdqpAEAAGgpXXK9AQAAKEfAHaYOcmqcrUe/9K6eEHos90fANbXfUbXKx2V1fXK+AQAAKGgdXXK/AQAAfXLAAQAAKGggaqEBAABoIksBdWFoI11ywQEAAChHP8FEVS8GfclHP8JLrVKJDt1HP+44wnQDXQJlaBh9csIBAABoJkcAAAAAAAAAAHNoJ2qkAQAAaCldcsMBAAAoR7/6StKq4p3HR7/0kjtwvvCTR8A1tB7rcocxZXV9csQBAAAoaB1dcsUBAAB9csYBAAAoaCBqoQEAAGgiSwF1YWgjXXLHAQAAKEc/5HHISbBNOkc/7Lbi0ERQkkc/4kMJ8EPKWmVoGH1yyAEAAGgmR4AAAAAAAAAAc2gnaqQBAABoKV1yyQEAAChHwCSlzF2VhSZHwBhdakmQEP9HwCo4Io3tmxxldX1yygEAAChoHV1yywEAAH1yzAEAAChoIGqhAQAAaCJLAXVhaCNdcs0BAAAoRz/khqGPh0cHRz/Zd95oq5ARRz/iXCI1CSE8ZWgYfXLOAQAAaCZHgAAAAAAAAABzaCdqpAEAAGgpXXLPAQAAKEfAEkydxDBlk0fAGHZbVi90rEfAKl074IMtfmV1fXLQAQAAKGgdXXLRAQAAfXLSAQAAKGggaqEBAABoIksBdWFoI11y0wEAAChHP8BqyyUB7RVHP+TDMrpnb3tHP+ZVrEnKeWBlaBh9ctQBAABoJkcAAAAAAAAAAHNoJ2qkAQAAaCldctUBAAAoR8Ad3rq9uhEoR7/zjxtbdtSHR8AwCYZiAKmXZXV9ctYBAAAoaB1dctcBAAB9ctgBAAAoaCBqoQEAAGgiSwF1YWgjXXLZAQAAKEc/wGHK4Llowkc/wun68HagGkc/5lKmUDZORmVoGH1y2gEAAGgmRwAAAAAAAAAAc2gnaqQBAABoKV1y2wEAAChHv/sv9b+bzDdHv/OEwnqp2UZHwDAH4m8CA1NldX1y3AEAAChoHV1y3QEAAH1y3gEAAChoIGqhAQAAaCJLAXVhaCNdct8BAAAoRz/kNUoJY4EERz/sitXBkwfaRz/UT/zYAmACZWgYfXLgAQAAaCZHgAAAAAAAAABzaCdqpAEAAGgpXXLhAQAAKEfAJIZGoEQ8gEfAGBV0Rj/2XUfAHSdNXL+OAWV1fXLiAQAAKGgdXXLjAQAAfXLkAQAAKGggaqEBAABoIksBdWFoI11y5QEAAChHP+ROoWM8kFRHP9ltbwPD2d9HP9SDvrErMLBlaBh9cuYBAABoJkeAAAAAAAAAAHNoJ2qkAQAAaCldcucBAAAoR8ASRXLGuwxLR8AYM7/NpujcR8Adc7rbUEphZXV9cugBAAAoaB1dcukBAAB9cuoBAAAoaCBqoQEAAGgiSwF1YWgjXXLrAQAAKEc/wGZI9Lt+Rkc/5L/5b5gTXUc/3GFk9MxFPWVoGH1y7AEAAGgmR4AAAAAAAAAAc2gnaqQBAABoKV1y7QEAAChHwB3aXu/IuIJHv/OKSKlRWOdHwCRgR6qVePZldX1y7gEAAChoHV1y7wEAAH1y8AEAAChoIGqhAQAAaCJLAXVhaCNdcvEBAAAoRz/AXrp1h0CnRz/BxBz64onNRz/cgMRV2tL1ZWgYfXLyAQAAaCZHgAAAAAAAAABzaCdqpAEAAGgpXXLzAQAAKEe/+YowtyUEW0e/84Go5QoVVUfAJHfkEjW7LGV1fXL0AQAAKGgdXXL1AQAAfXL2AQAAKGggaqEBAABoIksBdWFoI11y9wEAAChHP8EA0zmjZMpHP+TULWlEvR5HP8k2eXk9roxlaBh9cvgBAABoJkeAAAAAAAAAAHNoJ2qkAQAAaCldcvkBAAAoR8Ad96uzJOwGR7/0QwDytkiZR8ASGEwFHL8zZXV9cvoBAAAoaB1dcvsBAAB9cvwBAAAoaCBqoQEAAGgiSwF1YWgjXXL9AQAAKEc/wUVNJqRZkUc/wf7KNW3LCkc/yZI5vmevPGVoGH1y/gEAAGgmR4AAAAAAAAAAc2gnaqQBAABoKV1y/wEAAChHv/nfcqAL1zhHv/SU/4hda8tHwBJcWJALzhBldX1yAAIAAChoHV1yAQIAAH1yAgIAAChoIGqhAQAAaCJLAXVhaCNdcgMCAAAoRz/rv3JGQ4Y9Rz/jQz3HtrhjRz/qYxFyQz5uZWgYfXIEAgAAaCZHAAAAAAAAAABzaCdqpAEAAGgpXXIFAgAAKEfAG69SFPThx0fAIIjZK4RCW0fAMvIJPmU5kWV1fXIGAgAAKGgdXXIHAgAAfXIIAgAAKGggaqEBAABoIksBdWFoI11yCQIAAChHP+uz1DgmDC5HP7t+B5fO6TJHP+pQiwJ9B+llaBh9cgoCAABoJkcAAAAAAAAAAHNoJ2qkAQAAaCldcgsCAAAoR7/zpK/Yfc0AR8AggfkCiOVQR8Ay5UGyCRNdZXV9cgwCAAAoaB1dcg0CAAB9cg4CAAAoaCBqoQEAAGgiSwF1YWgjXXIPAgAAKEc/6+4Nebss50c/431prW226Ec/4mMWwIvL0WVoGH1yEAIAAGgmR4AAAAAAAAAAc2gnaqQBAABoKV1yEQIAAChHwBwDQLR6d41HwCCksGdw1eFHwCpmaursiZRldX1yEgIAAChoHV1yEwIAAH1yFAIAAChoIGqhAQAAaCJLAXVhaCNdchUCAAAoRz/r0redZawBRz+8nhGja3+ARz/iWOEXsnk5ZWgYfXIWAgAAaCZHgAAAAAAAAABzaCdqpAEAAGgpXXIXAgAAKEe/9HTjfpli0kfAIJRyWWQ5MUfAKljPvH9zNGV1fXIYAgAAKGgdXXIZAgAAfXIaAgAAKGggaqEBAABoIksBdWFoI11yGwIAAChHP9ehdWXdqmtHP9asY4s/ualHP+ZUvsPKmphlaBh9chwCAABoJkeAAAAAAAAAAHNoJ2qkAQAAaCldch0CAAAoR8AQTCwWx+0ZR8AMKSuebrA5R8AwCPvCvYsZZXV9ch4CAAAoaB1dch8CAAB9ciACAAAoaCBqoQEAAGgiSwF1YWgjXXIhAgAAKEc/147Jx17Owkc/615tg7wMtkc/5lXR3oSFNWVoGH1yIgIAAGgmR4AAAAAAAAAAc2gnaqQBAABoKV1yIwIAAChHwCOvH9ypl6BHwAwSulvMVBVHwDAJObpzE7xldX1yJAIAAChoHV1yJQIAAH1yJgIAAChoIGqhAQAAaCJLAXVhaCNdcicCAAAoRz/rv3fU+MBGRz/jcy/oUAsFRz/Uc8aLwBIpZWgYfXIoAgAAaCZHgAAAAAAAAABzaCdqpAEAAGgpXXIpAgAAKEfAG/TenPQR5UfAIIj/RoXlGEfAHVstpfsmrWV1fXIqAgAAKGgdXXIrAgAAfXIsAgAAKGggaqEBAABoIksBdWFoI11yLQIAAChHP+ur0eruy9BHP7tnuHX9sx9HP9SJtzjm0VtlaBh9ci4CAABoJkeAAAAAAAAAAHNoJ2qkAQAAaCldci8CAAAoR7/zlt8dMK7mR8AgfVXgdKA2R8AdfNItZq4uZXV9cjACAAAoaB1dcjECAAB9cjICAAAoaCBqoQEAAGgiSwF1YWgjXXIzAgAAKEc/14EZ5jAgLkc/1qvKXjKQS0c/3J4Yr05huGVoGH1yNAIAAGgmR4AAAAAAAAAAc2gnaqQBAABoKV1yNQIAAChHwBBMCOhXQANHwAwC4ElgrxlHwCSMIG54jUBldX1yNgIAAChoHV1yNwIAAH1yOAIAAChoIGqhAQAAaCJLAXVhaCNdcjkCAAAoRz/XleO3SgOvRz/rmLeMSM4lRz/coDLl22aZZWgYfXI6AgAAaCZHgAAAAAAAAABzaCdqpAEAAGgpXXI7AgAAKEfAI9kzGagT50fADBt1v8HI8EfAJIyO6ou662V1fXI8AgAAKGgdXXI9AgAAfXI+AgAAKGggaqEBAABoIksBdWFoI11yPwIAAChHP+vWxzcLr+JHP+N0JB7uLMRHP7JrPLnvpWplaBh9ckACAABoJkeAAAAAAAAAAHNoJ2qkAQAAaCldckECAAAoR8Ab9nzvI7PFR8AglvSFOIXtR7/6X6hni3mfZXV9ckICAAAoaB1dckMCAAB9ckQCAAAoaCBqoQEAAGgiSwF1YWgjXXJFAgAAKEc/67T0WNfdd0c/vJXz8quDp0c/sojHOWT7gmVoGH1yRgIAAGgmR4AAAAAAAAAAc2gnaqQBAABoKV1yRwIAAChHv/RxYVw8vENHwCCC2Hx8UaZHv/qSjMBFKs1ldX1ySAIAAChoHV1ySQIAAH1ySgIAAChoIGqhAQAAaCJLAXVhaCNdcksCAAAoRz/XwBWES6miRz/WkieKXZGBRz/JqP7R16OVZWgYfXJMAgAAaCZHgAAAAAAAAABzaCdqpAEAAGgpXXJNAgAAKEfAEDnTMDeO+EfADE41qR2SgkfAEmsRGrOvcmV1fXJOAgAAKGgdXXJPAgAAfXJQAgAAKGggaqEBAABoIksBdWFoI11yUQIAAChHP9b6AViaoNZHP+uihEl7SSJHP8mMHFh7QT9laBh9clICAABoJkeAAAAAAAAAAHNoJ2qkAQAAaCldclMCAAAoR8Aj4G4Rn70zR8ALYe+vV5ZzR8ASVDIUWhP2ZXV9clQCAAAoaB1dclUCAAB9clYCAAAoaCBqoQEAAGgiSwF1YWgjXXJXAgAAKEc/1/ffwER+NEc/1vVSEZqyHUc/7j/ofa1U4mVoGH1yWAIAAGgmRwAAAAAAAAAAc2gnaqQBAABoKV1yWQIAAChHwBCAU92TMURHwAyP5UjOMhpHwDW41xULLZpldX1yWgIAAChoHV1yWwIAAH1yXAIAAChoIGqhAQAAaCJLAXVhaCNdcl0CAAAoRz/XhI1C9BtwRz/rfz3YfbAERz/uUhWGpPVCZWgYfXJeAgAAaCZHAAAAAAAAAABzaCdqpAEAAGgpXXJfAgAAKEfAI8aZqau1aEfADAZBpsvKA0fANcVeevfBFGV1fXJgAgAAKGgdXXJhAgAAfXJiAgAAKGggaqEBAABoIksBdWFoI11yYwIAAChHP+QIvQLVR3BHP7rBoR+f2HhHP+21eP3trBVlaBh9cmQCAABoJkeAAAAAAAAAAHNoJ2qkAQAAaCldcmUCAAAoR7/zJWveg34vR8AX4CzZZ7TyR8A1VX4Z/IvdZXV9cmYCAAAoaB1dcmcCAAB9cmgCAAAoaCBqoQEAAGgiSwF1YWgjXXJpAgAAKEc/5CdgAMakakc/4z59DfKx5Ec/7bmdes+p92VoGH1yagIAAGgmRwAAAAAAAAAAc2gnaqQBAABoKV1yawIAAChHwBuqiNOoacRHwBgEmFpQUWlHwDVX8ES++cdldX1ybAIAAChoHV1ybQIAAH1ybgIAAChoIGqhAQAAaCJLAXVhaCNdcm8CAAAoRz/kRKiGRoCYRz+7ODnYPe8kRz/lwFVqwJMuZWgYfXJwAgAAaCZHAAAAAAAAAABzaCdqpAEAAGgpXXJxAgAAKEe/83uTpPiRrUfAGCe5mEj27kfALzzo65Ah+WV1fXJyAgAAKGgdXXJzAgAAfXJ0AgAAKGggaqEBAABoIksBdWFoI11ydQIAAChHP+Rody0IIOFHP+NqFvptbu5HP+XMvSe+NQRlaBh9cnYCAABoJkeAAAAAAAAAAHNoJ2qkAQAAaCldcncCAAAoR8Ab6XoE0/SvR8AYUk5k+3czR8AvTalaynksZXV9cngCAAAoaB1dcnkCAAB9cnoCAAAoaCBqoQEAAGgiSwF1YWgjXXJ7AgAAKEc/wBmJfm5v9Uc/62vFe0nNVEc/6b9W0p+fmGVoGH1yfAIAAGgmRwAAAAAAAAAAc2gnaqQBAABoKV1yfQIAAChHwCO5xgQ/Sa9Hv/Mt33V2mXZHwDJ8wUjk/xxldX1yfgIAAChoHV1yfwIAAH1ygAIAAChoIGqhAQAAaCJLAXVhaCNdcoECAAAoRz/Ap/rbUvd0Rz/W5g2wwqsLRz/pvntwjrNiZWgYfXKCAgAAaCZHAAAAAAAAAABzaCdqpAEAAGgpXXKDAgAAKEfAEHe6wB07tUe/89gFtvQYuUfAMnyqL1HxbmV1fXKEAgAAKGgdXXKFAgAAfXKGAgAAKGggaqEBAABoIksBdWFoI11yhwIAAChHP+RWrdxGvVRHP7orQ6WcMU9HP9t3I5g1lmVlaBh9cogCAABoJkeAAAAAAAAAAHNoJ2qkAQAAaCldcokCAAAoR7/yuxNd5KFzR8AYPVbgNpgNR8AjuGlh3i/7ZXV9cooCAAAoaB1dcosCAAB9cowCAAAoaCBqoQEAAGgiSwF1YWgjXXKNAgAAKEc/5DzmFMdiVUc/41Z6D5CWvEc/21OoMzpqCWVoGH1yjgIAAGgmR4AAAAAAAAAAc2gnaqQBAABoKV1yjwIAAChHwBvNlK1PsihHwBgehNm7Pj5HwCOd3uGCPpRldX1ykAIAAChoHV1ykQIAAH1ykgIAAChoIGqhAQAAaCJLAXVhaCNdcpMCAAAoRz/Any1XUR+tRz/rcuzcjLNXRz/hsbzA5g69ZWgYfXKUAgAAaCZHgAAAAAAAAABzaCdqpAEAAGgpXXKVAgAAKEfAI78KSLyPQke/882yBD4CHEfAKWhN5jQP62V1fXKWAgAAKGgdXXKXAgAAfXKYAgAAKGggaqEBAABoIksBdWFoI11ymQIAAChHP8G4L9y8g/9HP9Ze2ZSxUnNHP+Gy5LQfK+plaBh9cpoCAABoJkeAAAAAAAAAAHNoJ2qkAQAAaCldcpsCAAAoR8AQFqY2JgzFR7/1HQCpFdCPR8ApawcrVBJ8ZXV9cpwCAAAoaB1dcp0CAAB9cp4CAAAoaCBqoQEAAGgiSwF1YWgjXXKfAgAAKEc/5CYpSftLu0c/utOVaN1kH0c/xuqYpSftL2VoGH1yoAIAAGgmRwAAAAAAAAAAc2gnaqQBAABoKV1yoQIAAChHv/M1fzubEzVHwBgDpd9W1wNHwBBy3Z2o9mFldX1yogIAAChoHV1yowIAAH1ypAIAAChoIGqhAQAAaCJLAXVhaCNdcqUCAAAoRz/kRkb8EuCCRz/jYjZmGI3ARz/Gv93RAQ70ZWgYfXKmAgAAaCZHAAAAAAAAAABzaCdqpAEAAGgpXXKnAgAAKEfAG967TZUAnkfAGCnUyWlnXkfAEFILMYmCSGV1fXKoAgAAKGgdXXKpAgAAfXKqAgAAKGggaqEBAABoIksBdWFoI11yqwIAAChHP7/ixrQu8S9HP+t+IShDwPVHP9OpJDuekaZlaBh9cqwCAABoJkeAAAAAAAAAAHNoJ2qkAQAAaCldcq0CAAAoR8Ajx0LC2mahR7/y/xhFART2R8AcOV1rchqIZXV9cq4CAAAoaB1dcq8CAAB9crACAAAoaCBqoQEAAGgiSwF1YWgjXXKxAgAAKEc/wNYrsLLlxkc/1nBLoj/bYkc/04lUBuhRjmVoGH1ysgIAAGgmR4AAAAAAAAAAc2gnaqQBAABoKV1yswIAAChHwBAjiVBF8K1Hv/QQKNizD6NHwBwNzWH586VldX1ytAIAAChoHV1ytQIAAH1ytgIAAChoIGqhAQAAaCJLAXVhaCNdcrcCAAAoRz/BwGwrzThYRz/rOHTr5UDiRz+sUBZt1Zt9ZWgYfXK4AgAAaCZHAAAAAAAAAABzaCdqpAEAAGgpXXK5AgAAKEfAI5U0R+Zg60e/9SeDqYZ7Lke/9EVJM2JrUWV1fXK6AgAAKGgdXXK7AgAAfXK8AgAAKGggaqEBAABoIksBdWFoI11yvQIAAChHP8HBeVyNSapHP9aCLQum0jxHP6pAAEspdBhlaBh9cr4CAABoJkcAAAAAAAAAAHNoJ2qkAQAAaCldcr8CAAAoR8AQMJ1Y/EIcR7/1KSeUJMYDR7/y0nrN+kqMZXV9csACAAAoaB1dcsECAAB9csICAAAoaCBqoQEAAGgiSwF1YWgjXXLDAgAAKEc/68VK2BWARUc/7LU6WZghykc/7bhVJk0bvWVoGH1yxAIAAGgmRwAAAAAAAAAAc2gnaqQBAABoKV1yxQIAAChHwCSjXP5565xHwCCMRqXG5eZHwDVWhPkc+iRldX1yxgIAAChoHV1yxwIAAH1yyAIAAChoIGqhAQAAaCJLAXVhaCNdcskCAAAoRz/r2K1bF33LRz/ZFrriPqQARz/ttkIhN7MgZWgYfXLKAgAAaCZHAAAAAAAAAABzaCdqpAEAAGgpXXLLAgAAKEfAEgQ+xeyf6EfAIJfgNfMkSkfANVWQFOIOT2V1fXLMAgAAKGgdXXLNAgAAfXLOAgAAKGggaqEBAABoIksBdWFoI11yzwIAAChHP+vSdytaobdHP+yAvMkel3BHP+Wp/Wn4lytlaBh9ctACAABoJkeAAAAAAAAAAHNoJ2qkAQAAaCldctECAAAoR8AkfboEtHVaR8AglDHf1K0AR8AvGsnG8lzkZXV9ctICAAAoaB1dctMCAAB9ctQCAAAoaCBqoQEAAGgiSwF1YWgjXXLVAgAAKEc/7A2GZeAuqUc/2QWPoXMsyEc/5b3xqCN1JWVoGH1y1gIAAGgmRwAAAAAAAAAAc2gnaqQBAABoKV1y1wIAAChHwBH4GzdeUflHwCC3b8XXjSxHwC84fykfk5hldX1y2AIAAChoHV1y2QIAAH1y2gIAAChoIGqhAQAAaCJLAXVhaCNdctsCAAAoRz/XZTvu7oq4Rz/kqA9+IkTORz/ptlIBVJPWZWgYfXLcAgAAaCZHAAAAAAAAAABzaCdqpAEAAGgpXXLdAgAAKEfAHbVlAg6ZOEfAC+Eqx6wbVkfAMnZQyvdzGGV1fXLeAgAAKGgdXXLfAgAAfXLgAgAAKGggaqEBAABoIksBdWFoI11y4QIAAChHP9c/8zUWYkJHP8IxfXuA1NJHP+mvHNjTwTNlaBh9cuICAABoJkcAAAAAAAAAAHNoJ2qkAQAAaCldcuMCAAAoR7/6HWrZ8LEOR8ALtOv6t8ibR8AycayRi0vTZXV9cuQCAAAoaB1dcuUCAAB9cuYCAAAoaCBqoQEAAGgiSwF1YWgjXXLnAgAAKEc/64LkBaOC/Ec/7HVtDyIG5kc/2zSUBly7bWVoGH1y6AIAAGgmR4AAAAAAAAAAc2gnaqQBAABoKV1y6QIAAChHwCR1xUBmTehHwCBk16N8CmFHwCOGmALAi7dldX1y6gIAAChoHV1y6wIAAH1y7AIAAChoIGqhAQAAaCJLAXVhaCNdcu0CAAAoRz/r3I0Om88pRz/ZXsx+nkCdRz/bYZ+XtWjYZWgYfXLuAgAAaCZHgAAAAAAAAABzaCdqpAEAAGgpXXLvAgAAKEfAEjik8zDDi0fAIJpRt+0o60fAI6f4q9Vq6GV1fXLwAgAAKGgdXXLxAgAAfXLyAgAAKGggaqEBAABoIksBdWFoI11y8wIAAChHP9cLTeborNJHP+SIOYUG5XdHP+GYwdLzrWFlaBh9cvQCAABoJkcAAAAAAAAAAHNoJ2qkAQAAaCldcvUCAAAoR8Adh+kdLgs6R8ALdkJ6j6+OR8ApRIYudm6ZZXV9cvYCAAAoaB1dcvcCAAB9cvgCAAAoaCBqoQEAAGgiSwF1YWgjXXL5AgAAKEc/15XvNVd6u0c/wZ+NOQ4TlEc/4aXx7JbslmVoGH1y+gIAAGgmR4AAAAAAAAAAc2gnaqQBAABoKV1y+wIAAChHv/lMUcs5WoxHwAwbrPF/ayhHwClYhV3XPM1ldX1y/AIAAChoHV1y/QIAAH1y/gIAAChoIGqhAQAAaCJLAXVhaCNdcv8CAAAoRz/rkZBmFDEPRz/sfNLO72bWRz/GWQA23IsGZWgYfXIAAwAAaCZHgAAAAAAAAABzaCdqpAEAAGgpXXIBAwAAKEfAJHs455V68kfAIG2nd5v1PUfAEAZBMQAtiWV1fXICAwAAKGgdXXIDAwAAfXIEAwAAKGggaqEBAABoIksBdWFoI11yBQMAAChHP+vOkRe/5TNHP9kFG94s8XtHP8Z/nvGdO7tlaBh9cgYDAABoJkeAAAAAAAAAAHNoJ2qkAQAAaCldcgcDAAAoR8AR+Gdbu/L+R8Agkg3k8gYZR8AQJBUxqyZjZXV9cggDAAAoaB1dcgkDAAB9cgoDAAAoaCBqoQEAAGgiSwF1YWgjXXILAwAAKEc/10YxJz9fEUc/5KoDfuWOOkc/03uK8Ilqd2VoGH1yDAMAAGgmR4AAAAAAAAAAc2gnaqQBAABoKV1yDQMAAChHwB24xSEspPVHwAu8tXi/mvhHwBv4B7Ucs1RldX1yDgMAAChoHV1yDwMAAH1yEAMAAChoIGqhAQAAaCJLAXVhaCNdchEDAAAoRz/YCJ50n7oaRz/B/Ah5oSu0Rz/TkABosJiPZWgYfXISAwAAaCZHgAAAAAAAAABzaCdqpAEAAGgpXXITAwAAKEe/+dI5ooUr/kfADKSgkiPid0fAHBeFFju80GV1fXIUAwAAKGgdXXIVAwAAfXIWAwAAKGggaqEBAABoIksBdWFoI11yFwMAAChHP9e3HjnR3dlHP+R7QVm8id9HP6r/wsNejwJlaBh9chgDAABoJkcAAAAAAAAAAHNoJ2qkAQAAaCldchkDAAAoR8AddbJx7A/cR8AMQ5MAZEUQR7/zVG5gpZA3ZXV9choDAAAoaB1dchsDAAB9chwDAAAoaCBqoQEAAGgiSwF1YWgjXXIdAwAAKEc/18+J1gIqqEc/wjTdglGpa0c/qc0l4xOLImVoGH1yHgMAAGgmRwAAAAAAAAAAc2gnaqQBAABoKV1yHwMAAChHv/olQVWZCMJHwAxg3vUxeHlHv/KApSx5GDJldWV1WAYAAAB0YXJnZXRyIAMAAEdABEjopx3mmnUuUEsHCErv5QuaQAAAmkAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgAeAG1iLW1wLWdhcC0wNTUzNDkvYnl0ZW9yZGVyRkIaAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpabGl0dGxlUEsHCIU94xkGAAAABgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGAA0AG1iLW1wLWdhcC0wNTUzNDkvdmVyc2lvbkZCMABaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlozClBLBwjRnmdVAgAAAAIAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAACcAKQBtYi1tcC1nYXAtMDU1MzQ5Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRGQiUAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjA2MzY0NTc3Mzc5NDY0MDEwNTEzMDAwMDAwMTE5MTkwNTQ4MDIzNDBQSwcIrRuf6ygAAAAoAAAAUEsBAgAAAAAICAAAAAAAAErv5QuaQAAAmkAAABkAAAAAAAAAAAAAAAAAAAAAAG1iLW1wLWdhcC0wNTUzNDkvZGF0YS5wa2xQSwECAAAAAAgIAAAAAAAAhT3jGQYAAAAGAAAAGgAAAAAAAAAAAAAAAADqQAAAbWItbXAtZ2FwLTA1NTM0OS9ieXRlb3JkZXJQSwECAAAAAAgIAAAAAAAA0Z5nVQIAAAACAAAAGAAAAAAAAAAAAAAAAABWQQAAbWItbXAtZ2FwLTA1NTM0OS92ZXJzaW9uUEsBAgAAAAAICAAAAAAAAK0bn+soAAAAKAAAACcAAAAAAAAAAAAAAAAA0kEAAG1iLW1wLWdhcC0wNTUzNDkvLmRhdGEvc2VyaWFsaXphdGlvbl9pZFBLBgYsAAAAAAAAAB4DLQAAAAAAAAAAAAQAAAAAAAAABAAAAAAAAAAqAQAAAAAAAHhCAAAAAAAAUEsGBwAAAACiQwAAAAAAAAEAAABQSwUGAAAAAAQABAAqAQAAeEIAAAAA" | ./matbench_mp_gap/mb-mp-gap-055349 | /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-044280 | /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-024406 | /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-039848 | /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-101729 | /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-049973 | /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-099822 | /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-100652 | /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-048793 | /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 |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA4MjcxNC9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQAv1QrUGXJBHAAAAAAAAAABHQAAkPw8JiD9lXXENKEc/8qOBzR8tF0dAClvuEmy/G0dAACQ/DwmIP2VdcQ4oRwAAAAAAAAAARwAAAAAAAAAAR0AQJD8OXbvIZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAECQ/Dtqo0VgBAAAAYnESR0AQJD8OaRv2WAEAAABjcRNHQBAkPw5du8hYBQAAAGFscGhhcRRHQE3///9bnmVYBAAAAGJldGFxFUdATf///8/4flgFAAAAZ2FtbWFxFkdATf///9FDjlgGAAAAdm9sdW1lcRdHQEc7w4DQCuB1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABBc3EhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHAAAAAAAAAABHAAAAAAAAAABHAAAAAAAAAABlaBh9cSVYBgAAAG1hZ21vbXEmRwAAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAAQXNxKFgDAAAAeHl6cSldcSooRwAAAAAAAAAARwAAAAAAAAAARwAAAAAAAAAAZXV9cSsoaB1dcSx9cS0oaCBYAgAAAEx1cS5oIksBdWFoI11xLyhHP+AAAAAAAABHP+AAAAAAAABHP+AAAAAAAABlaBh9cTBoJkcAAAAAAAAAAHNoJ1gCAAAATHVxMWgpXXEyKEdAAqOBzcr5jkc/+lvuEmy/G0dAECQ/DrOiBGV1ZXVYBgAAAHRhcmdldHEzRwAAAAAAAAAAdS5QSwcI1AlGXhkDAAAZAwAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAaAB8AbWItbXAtZ2FwLTA4MjcxNC9ieXRlb3JkZXJGQhsAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpabGl0dGxlUEsHCIU94xkGAAAABgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGAA0AG1iLW1wLWdhcC0wODI3MTQvdmVyc2lvbkZCMABaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlozClBLBwjRnmdVAgAAAAIAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAACcAKQBtYi1tcC1nYXAtMDgyNzE0Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRGQiUAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjA2MzY0NTc3Mzc5NDY0MDEwNTEzMDAwMDAwMTc2Mzk0Nzc4ODkzMjFQSwcI/PWPiSgAAAAoAAAAUEsBAgAAAAAICAAAAAAAANQJRl4ZAwAAGQMAABkAAAAAAAAAAAAAAAAAAAAAAG1iLW1wLWdhcC0wODI3MTQvZGF0YS5wa2xQSwECAAAAAAgIAAAAAAAAhT3jGQYAAAAGAAAAGgAAAAAAAAAAAAAAAABpAwAAbWItbXAtZ2FwLTA4MjcxNC9ieXRlb3JkZXJQSwECAAAAAAgIAAAAAAAA0Z5nVQIAAAACAAAAGAAAAAAAAAAAAAAAAADWAwAAbWItbXAtZ2FwLTA4MjcxNC92ZXJzaW9uUEsBAgAAAAAICAAAAAAAAPz1j4koAAAAKAAAACcAAAAAAAAAAAAAAAAAUgQAAG1iLW1wLWdhcC0wODI3MTQvLmRhdGEvc2VyaWFsaXphdGlvbl9pZFBLBgYsAAAAAAAAAB4DLQAAAAAAAAAAAAQAAAAAAAAABAAAAAAAAAAqAQAAAAAAAPgEAAAAAAAAUEsGBwAAAAAiBgAAAAAAAAEAAABQSwUGAAAAAAQABAAqAQAA+AQAAAAA" | ./matbench_mp_gap/mb-mp-gap-082714 | /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-025534 | /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-065064 | /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-019199 | /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-014067 | /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-103123 | /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-071441 | /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-058117 | /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-027196 | /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-105184 | /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-007743 | /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-086051 | /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-076054 | /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-069579 | /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-021333 | /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 |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA1MjQyMS9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHAAAAAAAAAABHwBBHOkh7Q+5HAAAAAAAAAABlXXENKEfAKwy0IdscG0cAAAAAAAAAAEcAAAAAAAAAAGVdcQ4oRwAAAAAAAAAARwAAAAAAAAAAR8ArnI4WWLHzZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAEEc6SHtD7lgBAAAAYnESR0ArDLQh2xwbWAEAAABjcRNHQCucjhZYsfNYBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAVoAAAAAAAFgGAAAAdm9sdW1lcRdHQIe+9VmB3S11WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABZYnEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP+gAAAAAAABHP8B5O4AzwflHP+1l0s1s2splaBh9cSVYBgAAAG1hZ21vbXEmR4AAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAAWWJxKFgDAAAAeHl6cSldcSooR7/72ajLsINzR8AIatdsuOXlR8ApXbzJXDdDZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/6AAAAAAAAEc/5B5O4Azwfkc/4potMpMlNmVoGH1xL2gmR4AAAAAAAAAAc2gnWAIAAABZYnEwaCldcTEoR8AhAY8qY558R8AIatdsuOXlR8AgDRhYKNOpZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/0AAAAAAAAEc/6+GxH/MPgkc/tNFplJkpsmVoGH1xNmgmR4AAAAAAAAAAc2gnWAIAAABZYnE3aCldcTgoR8AnkX8IZQutR7/wRzpIe0PuR7/x9opn49V+ZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/0AAAAAAAAEc/18NiP+YfA0c/2sulmtm1k2VoGH1xPWgmR4AAAAAAAAAAc2gnWAIAAABZYnE+aCldcT8oR8AUFknu7vs+R7/wRzpIe0PuR8AXHut8X7yTZXV9cUAoaB1dcUF9cUIoaCBYAQAAAFlxQ2giSwF1YWgjXXFEKEc/6AAAAAAAAEc/2RermEm4W0c/tRfwjJqCo2VoGH1xRWgmRwAAAAAAAAAAc2gnaENoKV1xRihHwBU17uiIwM5HwAhq12y45eVHv/IzZVRGK+dldX1xRyhoHV1xSH1xSShoIGhDaCJLAXVhaCNdcUooRz/oAAAAAAAARz/si9XMJNwtRz/augPc2V9XZWgYfXFLaCZHgAAAAAAAAABzaCdoQ2gpXXFMKEfAKCFRhTHudEfACGrXbLjl5UfAFw+0wUcm+WV1fXFNKGgdXXFOfXFPKGggaENoIksBdWFoI11xUChHP9AAAAAAAABHP+N0KjPbI9NHP+1dAe5sr6xlaBh9cVFoJkcAAAAAAAAAAHNoJ2hDaCldcVIoR8Agcbytlru0R7/wRzpIe0PuR8ApViFrz+x2ZXV9cVMoaB1dcVR9cVUoaCBoQ2giSwF1YWgjXXFWKEc/0AAAAAAAAEc/u6FRntkelUc/4qL+EZNQVGVoGH1xV2gmR4AAAAAAAAAAc2gnaENoKV1xWChHv/dbFOVJbTVHv/BHOkh7Q+5HwCAUs7W1HnZldX1xWShoHV1xWn1xWyhoIGhDaCJLAXVhaCNdcVwoRz/oAAAAAAAARz/WjxSlqXJVRz/mfg/gcsbyZWgYfXFdaCZHAAAAAAAAAABzaCdoQ2gpXXFeKEfAExGuEDdALEfACGrXbLjl5UfAI2hn0eJ+DWV1fXFfKGgdXXFgfXFhKGggaENoIksBdWFoI11xYihHP+gAAAAAAABHP+tHilLUuSpHP+mB8B+NOQ5laBh9cWNoJkcAAAAAAAAAAHNoJ2hDaCldcWQoR8AnDzEZCS4jR8AIatdsuOXlR8AmAm1PoozfZXV9cWUoaB1dcWZ9cWcoaCBoQ2giSwF1YWgjXXFoKEc/0AAAAAAAAEc/5Lh1rStG1kc/0wPgPxpyHGVoGH1xaWgmRwAAAAAAAAAAc2gnaENoKV1xaihHwCGD3Rm/fAVHv/BHOkh7Q+5HwBBoTIjsZ8tldX1xayhoHV1xbH1xbShoIGhDaCJLAXVhaCNdcW4oRz/QAAAAAAAARz/C4da0rRtXRz/J+D+ByxvIZWgYfXFvaCZHAAAAAAAAAABzaCdoQ2gpXXFwKEe//+wYRo9vvUe/8Ec6SHtD7kfABmiDGtiUUGV1fXFxKGgdXXFyfXFzKGggWAIAAABTZXF0aCJLAXVhaCNdcXUoRz/oAAAAAAAARz/SSHSYrjc1Rz/Q8kewmLmgZWgYfXF2aCZHgAAAAAAAAABzaCdYAgAAAFNlcXdoKV1xeChHwA7oyO7oBc9HwAhq12y45eVHwA0+qbLi3TJldX1xeShoHV1xen1xeyhoIGh0aCJLAXVhaCNdcXwoRz/oAAAAAAAARz/pJDpMVxubRz/OG3CezozAZWgYfXF9aCZHgAAAAAAAAABzaCdYAgAAAFNlcX5oKV1xfyhHwCVAjEynj4JHwAhq12y45eVHwAn6cnnOhrRldX1xgChoHV1xgX1xgihoIGh0aCJLAXVhaCNdcYMoRz/QAAAAAAAARz/m28WzqORlRz/nhtwns6MwZWgYfXGEaCZHgAAAAAAAAABzaCdYAgAAAFNlcYVoKV1xhihHwCNSgeYhGqdHv/BHOkh7Q+5HwCRM46mf+qdldX1xhyhoHV1xiH1xiShoIGh0aCJLAXVhaCNdcYooRz/QAAAAAAAARz/LbxbOo5GVRz/oeSPYTFzQZWgYfXGLaCZHgAAAAAAAAABzaCdYAgAAAFNlcYxoKV1xjShHwAcwn1TOMmZHv/BHOkh7Q+5HwCUd8XflEEZldX1xjihoHV1xj31xkChoIGh0aCJLAXVhaCNdcZEoRz/oAAAAAAAARz/PaQhstgvARz/gwgC2M1hHZWgYfXGSaCZHgAAAAAAAAABzaCdYAgAAAFNlcZNoKV1xlChHwAqNF07tJMdHwAhq12y45eVHwBzrWYuVEPtldX1xlShoHV1xln1xlyhoIGh0aCJLAXVhaCNdcZgoRz/oAAAAAAAARz/n2kIbLYLwRz/vPf9JzKe5ZWgYfXGZaCZHgAAAAAAAAABzaCdYAgAAAFNlcZpoKV1xmyhHwCQpn+So1z9HwAhq12y45eVHwCr1KFu6gm9ldX1xnChoHV1xnX1xnihoIGh0aCJLAXVhaCNdcZ8oRz/QAAAAAAAARz/oJb3k0n0QRz/ee/6TmU9yZWgYfXGgaCZHgAAAAAAAAABzaCdYAgAAAFNlcaFoKV1xoihHwCRpbk4f0ulHv/BHOkh7Q+5HwBpNwqEcUutldX1xoyhoHV1xpH1xpShoIGh0aCJLAXVhaCNdcaYoRz/QAAAAAAAARz/QS3vJpPogRz+YQBbGawjiZWgYfXGnaCZHgAAAAAAAAABzaCdYAgAAAFNlcahoKV1xqShHwAuMUPTJE29Hv/BHOkh7Q+5Hv9Tst1PF8IdldX1xqihoHV1xq31xrChoIGh0aCJLAXVhaCNdca0oRz/oAAAAAAAARz+eCc41Ab9zRz+9kUGGXSbNZWgYfXGuaCZHgAAAAAAAAABzaCdYAgAAAFNlca9oKV1xsChHv9lkMsD9Dn5HwAhq12y45eVHv/mDNrIGNARldX1xsShoHV1xsn1xsyhoIGh0aCJLAXVhaCNdcbQoRz/oAAAAAAAARz/g8E5xqA38Rz/Ym6+eaLZNZWgYfXG1aCZHgAAAAAAAAABzaCdYAgAAAFNlcbZoKV1xtyhHwByi903q7QRHwAhq12y45eVHwBU7wGnXJPJldX1xuChoHV1xuX1xuihoIGh0aCJLAXVhaCNdcbsoRz/QAAAAAAAARz/vD7GOV/IERz/sTdfPNFsmZWgYfXG8aCZHgAAAAAAAAABzaCdYAgAAAFNlcb1oKV1xvihHwCpBkovTM6dHv/BHOkh7Q+5HwChsJ0AX63JldX1xvyhoHV1xwH1xwShoIGh0aCJLAXVhaCNdccIoRz/QAAAAAAAARz/eH2Mcr+QJRz/jsigwy6TaZWgYfXHDaCZHgAAAAAAAAABzaCdYAgAAAFNlccRoKV1xxShHwBl2cPXLSzNHv/BHOkh7Q+5HwCD+reFtH3pldX1xxihoHV1xx31xyChoIGh0aCJLAXVhaCNdcckoRz/oAAAAAAAARz/dwGysppGlRz/sNy+XHGa+ZWgYfXHKaCZHgAAAAAAAAABzaCdYAgAAAFNlcctoKV1xzChHwBkmK1RKu55HwAhq12y45eVHwChYmngX9RVldX1xzShoHV1xzn1xzyhoIGh0aCJLAXVhaCNdcdAoRz/oAAAAAAAARz/u4DZWU0jSRz/jyNBo45lCZWgYfXHRaCZHgAAAAAAAAABzaCdYAgAAAFNlcdJoKV1x0yhHwCoZb7sS69xHwAhq12y45eVHwCESOqltFddldX1x1ChoHV1x1X1x1ihoIGh0aCJLAXVhaCNdcdcoRz/QAAAAAAAARz/hH8mprLcuRz++RoNHHMoQZWgYfXHYaCZHgAAAAAAAAABzaCdYAgAAAFNlcdloKV1x2ihHwBzzPO9rfJlHv/BHOkh7Q+5Hv/ofnPIF5uxldX1x2yhoHV1x3H1x3ShoIGh0aCJLAXVhaCNdcd4oRz/QAAAAAAAARz+h/Jqay3LbRz/Ybl8uOM18ZWgYfXHfaCZHgAAAAAAAAABzaCdYAgAAAFNlceBoKV1x4ShHv95ojNkGB9RHv/BHOkh7Q+5HwBUUptnXODhldWV1WAYAAAB0YXJnZXRx4kc/8hxDLKV6eHUuUEsHCCap/fEXDwAAFw8AAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgAhAG1iLW1wLWdhcC0wNTI0MjEvYnl0ZW9yZGVyRkIdAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpabGl0dGxlUEsHCIU94xkGAAAABgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGAA0AG1iLW1wLWdhcC0wNTI0MjEvdmVyc2lvbkZCMABaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlozClBLBwjRnmdVAgAAAAIAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAACcAKQBtYi1tcC1nYXAtMDUyNDIxLy5kYXRhL3NlcmlhbGl6YXRpb25faWRGQiUAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjA2MzY0NTc3Mzc5NDY0MDEwNTEzMDAwMDAwMjc2ODAxNTkzMjEzNThQSwcIKKsJoSgAAAAoAAAAUEsBAgAAAAAICAAAAAAAACap/fEXDwAAFw8AABkAAAAAAAAAAAAAAAAAAAAAAG1iLW1wLWdhcC0wNTI0MjEvZGF0YS5wa2xQSwECAAAAAAgIAAAAAAAAhT3jGQYAAAAGAAAAGgAAAAAAAAAAAAAAAABnDwAAbWItbXAtZ2FwLTA1MjQyMS9ieXRlb3JkZXJQSwECAAAAAAgIAAAAAAAA0Z5nVQIAAAACAAAAGAAAAAAAAAAAAAAAAADWDwAAbWItbXAtZ2FwLTA1MjQyMS92ZXJzaW9uUEsBAgAAAAAICAAAAAAAACirCaEoAAAAKAAAACcAAAAAAAAAAAAAAAAAUhAAAG1iLW1wLWdhcC0wNTI0MjEvLmRhdGEvc2VyaWFsaXphdGlvbl9pZFBLBgYsAAAAAAAAAB4DLQAAAAAAAAAAAAQAAAAAAAAABAAAAAAAAAAqAQAAAAAAAPgQAAAAAAAAUEsGBwAAAAAiEgAAAAAAAAEAAABQSwUGAAAAAAQABAAqAQAA+BAAAAAA" | ./matbench_mp_gap/mb-mp-gap-052421 | /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-035442 | /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-072499 | /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 |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA3Mjg4OC9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHwBigZftcgjdHwBigZftcgjdHgAAAAAAAAABlXXENKEfAGKBl+1yCN0eAAAAAAAAAAEfAGKBl+1yCN2VdcQ4oRwAAAAAAAAAAR8AYoGX7XII3R8AYoGX7XII3ZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAIWniAZEg1VgBAAAAYnESR0AhaeIBkSDVWAEAAABjcRNHQCFp4gGRINVYBQAAAGFscGhhcRRHQE4AAAAAAAFYBAAAAGJldGFxFUdATgAAAAAAAVgFAAAAZ2FtbWFxFkdATgAAAAAAAVgGAAAAdm9sdW1lcRdHQH0rmZ8la+N1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABHZHEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP+gAAAAAAABHP+gAAAAAAABHP+gAAAAAAABlaBh9cSVYBgAAAG1hZ21vbXEmR0Ab8KPXCj1xc1gFAAAAbGFiZWxxJ1gCAAAAR2RxKFgDAAAAeHl6cSldcSooR8AieEx8hWGpR8AieEx8hWGpR8AieEx8hWGpZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/0AAAAAAAAEc/0AAAAAAAAEc/0AAAAAAAAGVoGH1xL2gmR0Ab8KPXCj1xc2gnWAIAAABHZHEwaCldcTEoR8AIoGX7XII3R8AIoGX7XII3R8AIoGX7XII3ZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEeAAAAAAAAAAEcAAAAAAAAAAEeAAAAAAAAAAGVoGH1xNmgmR8Ab3ztkWhysc2gnWAIAAABHZHE3aCldcTgoRwAAAAAAAAAARwAAAAAAAAAARwAAAAAAAAAAZXV9cTkoaB1dcTp9cTsoaCBYAQAAAFBxPGgiSwF1YWgjXXE9KEc/55ks4jZAhEc/55ks4jZAhEc/0M2mO5N++GVoGH1xPmgmRz9QYk3S8an8c2gnaDxoKV1xPyhHwCIpKr7nGhdHwBigZftcgjdHwBigZftcgjdldX1xQChoHV1xQX1xQihoIGg8aCJLAXVhaCNdcUMoRz/QzaY7k374Rz/QzaY7k374Rz/nmSziNkCEZWgYfXFEaCZHP1BiTdLxqfxzaCdoPGgpXXFFKEfACdzs8dWggEfAGKBl+1yCN0fAGKBl+1yCN2V1fXFGKGgdXXFHfXFIKGggaDxoIksBdWFoI11xSShHP+eZLOI2QIRHP9DNpjuTfvhHP+eZLOI2QIRlaBh9cUpoJkc/aJN0vGp++nNoJ2g8aCldcUsoR8AYoGX7XII3R8AiKSq+5xoXR8AYoGX7XII3ZXV9cUwoaB1dcU19cU4oaCBoPGgiSwF1YWgjXXFPKEc/0M2mO5N++Ec/55ks4jZAhEc/0M2mO5N++GVoGH1xUGgmRz9ok3S8an76c2gnaDxoKV1xUShHwBigZftcgjdHwAnc7PHVoIBHwBigZftcgjdldX1xUihoHV1xU31xVChoIGg8aCJLAXVhaCNdcVUoRz/QzaY7k374Rz/nmSziNkCERz/nmSziNkCEZWgYfXFWaCZHP2iTdLxqfvpzaCdoPGgpXXFXKEfAGKBl+1yCN0fAGKBl+1yCN0fAIikqvucaF2V1fXFYKGgdXXFZfXFaKGggaDxoIksBdWFoI11xWyhHP+eZLOI2QIRHP9DNpjuTfvhHP9DNpjuTfvhlaBh9cVxoJkc/aJN0vGp++nNoJ2g8aCldcV0oR8AYoGX7XII3R8AYoGX7XII3R8AJ3Ozx1aCAZXV9cV4oaB1dcV99cWAoaCBYAgAAAFBkcWFoIksBdWFoI11xYihHP+Ot7SiM5wRHP+Ot7SiM5wRHP+Ot7SiM5wRlaBh9cWNoJkc/YGJN0vGp/HNoJ1gCAAAAUGRxZGgpXXFlKEfAHkosb3wsLkfAHkosb3wsLkfAHkosb3wsLmV1fXFmKGgdXXFnfXFoKGggaGFoIksBdWFoI11xaShHP9ikJa7mMflHP9ikJa7mMflHP9ikJa7mMfllaBh9cWpoJkc/YGJN0vGp/HNoJ1gCAAAAUGRxa2gpXXFsKEfAEvafhzzYQUfAEvafhzzYQUfAEvafhzzYQWV1fXFtKGgdXXFufXFvKGggaGFoIksBdWFoI11xcChHP8PY4gPrnPJHP+Ot7SiM5wRHP+Ot7SiM5wRlaBh9cXFoJkc/aJN0vGp++nNoJ1gCAAAAUGRxcmgpXXFzKEfAEvafgxskZ0fAEvafgxskZ0fAHkosb3wsLmV1fXF0KGgdXXF1fXF2KGggaGFoIksBdWFoI11xdyhHP+Ot7SiM5wRHP8PY4gPrnPJHP+Ot7SiM5wRlaBh9cXhoJkc/dHrhR64Ue3NoJ1gCAAAAUGRxeWgpXXF6KEfAEvafgxskZ0fAHkosb3wsLkfAEvafgxskZ2V1fXF7KGgdXXF8fXF9KGggaGFoIksBdWFoI11xfihHP+sJx38FGMRHP9ikJa7mMflHP9ikJa7mMfllaBh9cX9oJkc/aJN0vGp++nNoJ1gCAAAAUGRxgGgpXXGBKEfAHkosc53gCEfAHkosc53gCEfAEvafhzzYQWV1fXGCKGgdXXGDfXGEKGggaGFoIksBdWFoI11xhShHP9ikJa7mMflHP+sJx38FGMRHP9ikJa7mMfllaBh9cYZoJkc/dHrhR64Ue3NoJ1gCAAAAUGRxh2gpXXGIKEfAHkosc53gCEfAEvafhzzYQUfAHkosc53gCGV1fXGJKGgdXXGKfXGLKGggaGFoIksBdWFoI11xjChHP+Ot7SiM5wRHP+Ot7SiM5wRHP8PY4gPrnPJlaBh9cY1oJkc/YGJN0vGp/HNoJ1gCAAAAUGRxjmgpXXGPKEfAHkosb3wsLkfAEvafgxskZ0fAEvafgxskZ2V1fXGQKGgdXXGRfXGSKGggaGFoIksBdWFoI11xkyhHP9ikJa7mMflHP9ikJa7mMflHP+sJx38FGMRlaBh9cZRoJkc/YGJN0vGp/HNoJ1gCAAAAUGRxlWgpXXGWKEfAEvafhzzYQUfAHkosc53gCEfAHkosc53gCGV1fXGXKGgdXXGYfXGZKGggaGFoIksBdWFoI11xmihHAAAAAAAAAABHgAAAAAAAAABHP+TvRgOaaU1laBh9cZtoJke/YGJN0vGp/HNoJ1gCAAAAUGRxnGgpXXGdKEcAAAAAAAAAAEfAEBxjmGwgrUfAEBxjmGwgrWV1fXGeKGgdXXGffXGgKGggaGFoIksBdWFoI11xoShHgAAAAAAAAABHAAAAAAAAAABHP9Yhc/jLLWVlaBh9caJoJke/YGJN0vGp/HNoJ1gCAAAAUGRxo2gpXXGkKEcAAAAAAAAAAEfAAQgExeDDE0fAAQgExeDDE2V1fXGlKGgdXXGmfXGnKGggaGFoIksBdWFoI11xqChHP9Yhc/jLLWVHP+TvRgOaaU1HAAAAAAAAAABlaBh9caloJkc/gGJN0vGp/HNoJ1gCAAAAUGRxqmgpXXGrKEfAGKBl+1yCNkfAAQgExeDDE0fAEBxjmGwgrWV1fXGsKGgdXXGtfXGuKGggaGFoIksBdWFoI11xryhHP+TvRgOaaU1HP9Yhc/jLLWVHgAAAAAAAAABlaBh9cbBoJkc/gGJN0vGp/HNoJ1gCAAAAUGRxsWgpXXGyKEfAGKBl+1yCNkfAEBxjmGwgrUfAAQgExeDDE2V1fXGzKGgdXXG0fXG1KGggaGFoIksBdWFoI11xtihHAAAAAAAAAABHP+TvRgOaaU1HgAAAAAAAAABlaBh9cbdoJkc/UGJN0vGp/HNoJ1gCAAAAUGRxuGgpXXG5KEfAEBxjmGwgrUcAAAAAAAAAAEfAEBxjmGwgrWV1fXG6KGgdXXG7fXG8KGggaGFoIksBdWFoI11xvShHP+TvRgOaaU1HAAAAAAAAAABHP9Yhc/jLLWVlaBh9cb5oJkc/aJN0vGp++nNoJ1gCAAAAUGRxv2gpXXHAKEfAEBxjmGwgrUfAGKBl+1yCNkfAAQgExeDDE2V1fXHBKGgdXXHCfXHDKGggaGFoIksBdWFoI11xxChHgAAAAAAAAABHP9Yhc/jLLWVHAAAAAAAAAABlaBh9ccVoJkc/UGJN0vGp/HNoJ1gCAAAAUGRxxmgpXXHHKEfAAQgExeDDE0cAAAAAAAAAAEfAAQgExeDDE2V1fXHIKGgdXXHJfXHKKGggaGFoIksBdWFoI11xyyhHP9Yhc/jLLWVHgAAAAAAAAABHP+TvRgOaaU1laBh9ccxoJkc/aJN0vGp++nNoJ1gCAAAAUGRxzWgpXXHOKEfAAQgExeDDE0fAGKBl+1yCNkfAEBxjmGwgrWV1fXHPKGgdXXHQfXHRKGggaGFoIksBdWFoI11x0ihHP+TvRgOaaU1HgAAAAAAAAABHAAAAAAAAAABlaBh9cdNoJkc/aJN0vGp++nNoJ1gCAAAAUGRx1GgpXXHVKEfAEBxjmGwgrUfAEBxjmGwgrUcAAAAAAAAAAGV1fXHWKGgdXXHXfXHYKGggaGFoIksBdWFoI11x2ShHP9Yhc/jLLWVHgAAAAAAAAABHAAAAAAAAAABlaBh9cdpoJkc/aJN0vGp++nNoJ1gCAAAAUGRx22gpXXHcKEfAAQgExeDDE0fAAQgExeDDE0cAAAAAAAAAAGV1fXHdKGgdXXHefXHfKGggaGFoIksBdWFoI11x4ChHgAAAAAAAAABHP+TvRgOaaU1HP9Yhc/jLLWVlaBh9ceFoJkc/UGJN0vGp/HNoJ1gCAAAAUGRx4mgpXXHjKEfAEBxjmGwgrUfAAQgExeDDE0fAGKBl+1yCNmV1fXHkKGgdXXHlfXHmKGggaGFoIksBdWFoI11x5yhHAAAAAAAAAABHP9Yhc/jLLWVHP+TvRgOaaU1laBh9cehoJkc/UGJN0vGp/HNoJ1gCAAAAUGRx6WgpXXHqKEfAAQgExeDDE0fAEBxjmGwgrUfAGKBl+1yCNmV1ZXVYBgAAAHRhcmdldHHrRwAAAAAAAAAAdS5QSwcI/0zV2J0PAACdDwAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAaABsAbWItbXAtZ2FwLTA3Mjg4OC9ieXRlb3JkZXJGQhcAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpsaXR0bGVQSwcIhT3jGQYAAAAGAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAYADQAbWItbXAtZ2FwLTA3Mjg4OC92ZXJzaW9uRkIwAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjMKUEsHCNGeZ1UCAAAAAgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAJwApAG1iLW1wLWdhcC0wNzI4ODgvLmRhdGEvc2VyaWFsaXphdGlvbl9pZEZCJQBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMDYzNjQ1NzczNzk0NjQwMTA1MTMwMDAwMDAyNjc4MzE4MDYwNzk0N1BLBwjK4cWJKAAAACgAAABQSwECAAAAAAgIAAAAAAAA/0zV2J0PAACdDwAAGQAAAAAAAAAAAAAAAAAAAAAAbWItbXAtZ2FwLTA3Mjg4OC9kYXRhLnBrbFBLAQIAAAAACAgAAAAAAACFPeMZBgAAAAYAAAAaAAAAAAAAAAAAAAAAAO0PAABtYi1tcC1nYXAtMDcyODg4L2J5dGVvcmRlclBLAQIAAAAACAgAAAAAAADRnmdVAgAAAAIAAAAYAAAAAAAAAAAAAAAAAFYQAABtYi1tcC1nYXAtMDcyODg4L3ZlcnNpb25QSwECAAAAAAgIAAAAAAAAyuHFiSgAAAAoAAAAJwAAAAAAAAAAAAAAAADSEAAAbWItbXAtZ2FwLTA3Mjg4OC8uZGF0YS9zZXJpYWxpemF0aW9uX2lkUEsGBiwAAAAAAAAAHgMtAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAACoBAAAAAAAAeBEAAAAAAABQSwYHAAAAAKISAAAAAAAAAQAAAFBLBQYAAAAABAAEACoBAAB4EQAAAAA=" | ./matbench_mp_gap/mb-mp-gap-072888 | /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-039141 | /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-021225 | /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-007583 | /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-018248 | /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-034081 | /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-057479 | /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-100763 | /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-085446 | /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-060412 | /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-032673 | /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-093345 | /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-011134 | /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-067665 | /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 |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA5MjU5OS9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQB5xcYaq/3NHv4dbzwi8PDFHAAAAAAAAAABlXXENKEfAAo/FrEcbSEdAIBC481Ea+0cAAAAAAAAAAGVdcQ4oRwAAAAAAAAAARwAAAAAAAAAAR0AkMXoJBY0zZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAHnFzxDJH5VgBAAAAYnESR0AguNojYBsKWAEAAABjcRNHQCQxegkFjTNYBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAWoyby0/W1lgGAAAAdm9sdW1lcRdHQINH6ZhWduB1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAEAAABPcSFYBAAAAG9jY3VxIksBdWFYAwAAAGFiY3EjXXEkKEc/1rH0A3J7SEc/74ePECjCFkc/4uI7I2yWrGVoGH1xJVgGAAAAbWFnbW9tcSZHP2BiTdLxqfxzWAUAAABsYWJlbHEnaCFYAwAAAHh5enEoXXEpKEc/2msFQQiHqEdAH6Re1I9Wv0dAF9UuyQz1nWV1fXEqKGgdXXErfXEsKGggaCFoIksBdWFoI11xLShHP+SnBf5GwlxHP+B4cO/XPepHP7cR2RtktWFlaBh9cS5oJkc/YGJN0vGp/HNoJ2ghaChdcS8oR0ANvdniykUER0AQgh4d35wURz/tHaYAO0NPZXV9cTAoaB1dcTF9cTIoaCBoIWgiSwF1YWgjXXEzKEc/5KcF/kbCXEc/jhw79c96fEc/2juJuSbSqGVoGH1xNGgmRz9gYk3S8an8c2gnaCFoKF1xNShHQBOC3lx26VRHP7xZSqOgRjhHQBCNxUj+JMlldX1xNihoHV1xN31xOChoIGghaCJLAXVhaCNdcTkoRz/WsfQDcntIRz/fDx4gUYQsRz/tHcTck2lUZWgYfXE6aCZHP2BiTdLxqfxzaCdoIWgoXXE7KEc/+SqG/Ik9MkdADydLwnx3iEdAIl+fqQHY/mV1fXE8KGgdXXE9fXE+KGggaCFoIksBdWFoI11xPyhHP9qNDxHrus9HP+fHOZVNA79HP+hpCIzsYhNlaBh9cUBoJkdAB2hysCDEnHNoJ2ghaChdcUEoRz/27vHAIsQeR0AX2ztHouubR0AezsaI+84cZXV9cUIoaB1dcUN9cUQoaCBoIWgiSwF1YWgjXXFFKEc/4rl4dwoimUc/6DjGarL8QUc/0NIRGdjEJ2VoGH1xRmgmR0AHaHKwIMScc2gnaCFoKF1xRyhHQAWTwarZ8+xHQBhLQarMBzhHQAU6mP/sgdNldX1xSChoHV1xSX1xSihoIGghaCJLAXVhaCNdcUsoRz/iuXh3CiKZRz/QcYzVZfiCRz/OW93MTneyZWgYfXFMaCZHQAdocrAgxJxzaCdoIWgoXXFNKEdADtukgP2BkEdAAHURbvXYeUdAAyhbEh6Yk2V1fXFOKGgdXXFPfXFQKGggaCFoIksBdWFoI11xUShHP9qNDxHrus9HP88c5lU0DvtHP+eW93MTne1laBh9cVJoJkdAB2hysCDEnHNoJ2ghaChdcVMoR0AEv1u2NO+zRz//KglRR0KBR0AdxaeSFNl9ZXV9cVQoaB1dcVV9cVYoaCBoIWgiSwF1YWgjXXFXKEc/30Vdgjwv3Ec/5y9MWPQNA0c/3/fZ1kqk6mVoGH1xWGgmRz9gYk3S8an8c2gnaCFoKF1xWShHQABNHgWhimFHQBdB0sEcrSdHQBQsVZVwi2lldX1xWihoHV1xW31xXChoIGghaCJLAXVhaCNdcV0oRz/gXVE+4egSRz/o0LOnC/L9Rz/v++zrJVJ1ZWgYfXFeaCZHP2BiTdLxqfxzaCdoIWgoXXFfKEdAAL4chUnLmUdAGOSqMVJFrEdAJC7nzzsMTmV1fXFgKGgdXXFhfXFiKGggaCFoIksBdWFoI11xYyhHP+BdUT7h6BJHP9GhZ04X5ftHP+AEExTarYtlaBh9cWRoJkc/YGJN0vGp/HNoJ2ghaChdcWUoR0AKBf9bbVk8R0ABp+J8AlVlR0AUNp58mo79ZXV9cWYoaB1dcWd9cWgoaCBoIWgiSwF1YWgjXXFpKEc/30Vdgjwv3Ec/zL0xY9A0Ckc/QExTarYsTGVoGH1xamgmRz9gYk3S8an8c2gnaCFoKF1xayhHQAmVANvFGAZHP/zEZzcuSKtHP3SRzlQHKY5ldX1xbChoHV1xbX1xbihoIGghaCJLAXVhaCNdcW8oRz/GTHOLkvCzRz/ItMYwUH/KRz/huwrIWvgeZWgYfXFwaCZHP2BiTdLxqfxzaCdoIWgoXXFxKEc/7BjC3qAKWEc/+MZ1FsH2m0dAFmChh6jhcGV1fXFyKGgdXXFzfXF0KGggaCFoIksBdWFoI11xdShHP+ps4x0bQ9NHP9OlnOfXwBtHP6uwrIWvgeNlaBh9cXZoJkc/YGJN0vGp/HNoJ2ghaChdcXcoR0AWSme/xTdWR0ADptuMOH5sRz/heTv1GqHpZXV9cXgoaB1dcXl9cXooaCBoIWgiSwF1YWgjXXF7KEc/6mzjHRtD00c/6dLOc+vgDUc/3Inqb0oPxGVoGH1xfGgmRz9gYk3S8an8c2gnaCFoKF1xfShHQBGmdlSzcIRHQBnkJrltWjFHQBICUopiOPZldX1xfihoHV1xf31xgChoIGghaCJLAXVhaCNdcYEoRz/GTHOLkvCzRz/mLTGMFB/zRz/uRPU3pQfiZWgYfXGCaCZHP2BiTdLxqfxzaCdoIWgoXXGDKEe/0g2Q89xYcEdAFkJWOQGYokdAIxnmSbPjFWV1fXGEKGgdXXGFfXGGKGggaCFoIksBdWFoI11xhyhHP6zLY2s0VnRHP+hQR4CdHl5HP+cWcCQqVsFlaBh9cYhoJkc/UGJN0vGp/HNoJ2ghaChdcYkoR7/1W5ntO5uJR0AYaQiusWV3R0AdI3D8v2O0ZXV9cYooaB1dcYt9cYwoaCBoIWgiSwF1YWgjXXGNKEc/7jNJyUy6mUc/56+4f2Lhokc/zFnAkKlbA2VoGH1xjmgmRz9QYk3S8an8c2gnaCFoKF1xjyhHQBXcg8DEkd9HQBe9dEO9jVtHQAHj7edzrQJldX1xkChoHV1xkX1xkihoIGghaCJLAXVhaCNdcZMoRz/uM0nJTLqZRz/OvuH9i4aGRz/R0x+3q1J/ZWgYfXGUaCZHP1BiTdLxqfxzaCdoIWgoXXGVKEdAGoB1K9ZYsUc//rLtQbHJfkdABn8GKpdtZGV1fXGWKGgdXXGXfXGYKGggaCFoIksBdWFoI11xmShHP6zLY2s0VnRHP9CgjwE6PL1HP+jpj9vVqT9laBh9cZpoJkc/UGJN0vGp/HNoJ2ghaChdcZsoR7/GXqIHpAIQR0AAsJ92wJT7R0AfcP0eUUPlZXV9cZwoaB1dcZ19cZ4oaCBoIWgiSwF1YWgjXXGfKEc/7AQypMLte0c/6HPSKgPfiUc/7a3htTw3aWVoGH1xoGgmR7+GhysCDEm6c2gnaCFoKF1xoShHQBOPwEZKXjtHQBiDJvEtIvtHQCK6kIItt2hldX1xoihoHV1xo31xpChoIGghaCJLAXVhaCNdcaUoRz+/3mrZ6JQpRz/njC3V/CB3Rz/bW8NqeG7SZWgYfXGmaCZHv4aHKwIMSbpzaCdoIWgoXXGnKEe/6FEYBqWZ8EdAF6NWAUHP2EdAEUOm+1XhnWV1fXGoKGgdXXGpfXGqKGggaCFoIksBdWFoI11xqyhHP7/eatnolClHP84wt1fwgd5HP7KQ8lYeRLplaBh9caxoJke/hocrAgxJunNoJ2ghaChdca0oRz/ZnOaj0TlARz/+SnQ3wtN3Rz/nbphtfVy2ZXV9ca4oaB1dca99cbAoaCBoIWgiSwF1YWgjXXGxKEc/7AQypMLte0c/0OekVAe/EUc/4lIeSsPIl2VoGH1xsmgmR7+GhysCDEm6c2gnaCFoKF1xsyhHQBgzsbFcJQ1HQADk2/u4D/5HQBcfTRa1OMlldX1xtChoHV1xtX1xtihoIGghaCJLAXVhaCNdcbcoRz/HOz2YvM/VRz/vpdAOH9NaRz/ssNQNs8fDZWgYfXG4aCZHv464UeuFHrhzaCdoIWgoXXG5KEe/7ToLTBmG2kdAH8TFCuv6PkdAIhrgt4SCP2V1fXG6KGgdXXG7fXG8KGggaCFoIksBdWFoI11xvShHP+oxMJnQzAtHP+BaL/HgLKZHP9lhqBtnj4ZlaBh9cb5oJke/jrhR64UeuHNoJ2ghaChdcb8oR0AULN6u+NvZR0AQYbfngviVR0AQBEdmA3dLZXV9ccAoaB1dccF9ccIoaCBoIWgiSwF1YWgjXXHDKEc/6jEwmdDMC0c/hov8eAspf0c/unlfkmHB52VoGH1xxGgmR7+OuFHrhR64c2gnaCFoKF1xxShHQBjQ0BoKoqtHP7Q/vQx3ZoFHP/C0yowIV59ldX1xxihoHV1xx31xyChoIGghaCJLAXVhaCNdcckoRz/HOz2YvM/VRz/fS6AcP6a0Rz/jTyvyTDg9ZWgYfXHKaCZHv464UeuFHrhzaCdoIWgoXXHLKEc/z5YAMdK+4EdAD2gYLzW+hkdAGF6srAejG2V1fXHMKGgdXXHNfXHOKGggWAEAAABQcc9oIksBdWFoI11x0ChHP7Ftl94CqilHP9PtVdlQaM5HP+Qz1XpFa29laBh9cdFoJkcAAAAAAAAAAHNoJ2jPaChdcdIoR7/KJiL++1BUR0AEAJJu3GMTR0AZf0OtPSnGZXV9cdMoaB1dcdR9cdUoaCBoz2giSwF1YWgjXXHWKEc/7dJNBD+qu0c/yCVUTV8uZEc/wM9V6RWtvGVoGH1x12gmRwAAAAAAAAAAc2gnaM9oKF1x2ChHQBqesTOREyRHP/gTB1F6LU5HP/U3JpDecktldX1x2ShoHV1x2n1x2yhoIGjPaCJLAXVhaCNdcdwoRz/t0k0EP6q7Rz/mCVUTV8uZRz/XmFULdSkiZWgYfXHdaCZHAAAAAAAAAABzaCdoz2goXXHeKEdAFfq/yH9MUkdAFhV6x6+mT0dADcdgyZvhQGV1fXHfKGgdXXHgfXHhKGggaM9oIksBdWFoI11x4ihHP7Ftl94CqilHP+n2quyoNGdHP+vMKoW6lJFlaBh9ceNoJkcAAAAAAAAAAHNoJ2jPaChdceQoR7/11IoMJoVSR0AaEQIqv0yER0AhipU26b7qZXV9ceUoaB1dceZ9cecoaCBoz2giSwF1YWgjXXHoKEc/17oCRNPEjkc/xY/oVWlo+kc/4xqD+ksKP2VoGH1x6WgmR7+EeuFHrhR7c2gnaM9oKF1x6ihHQANyCmcoHZpHP/WVH7h76WZHQBgcN+IAMjdldX1x6yhoHV1x7H1x7ShoIGjPaCJLAXVhaCNdce4oRz/kIv7dlh25Rz/VOAvVS0uDRz+41B/SWFH8ZWgYfXHvaCZHv4R64UeuFHtzaCdoz2goXXHwKEdAEBR66AUp1EdABT+GO1uFB0c/71Xux9UoJGV1fXHxKGgdXXHyfXHzKGggaM9oIksBdWFoI11x9ChHP+Qi/t2WHblHP+qcBeqlpcFHP9nK+Atp64FlaBh9cfVoJke/hHrhR64Ue3NoJ2jPaChdcfYoR0AG4RL55sYFR0AasHwQ/t1+R0AQRrwwCuguZXV9cfcoaB1dcfh9cfkoaCBoz2giSwF1YWgjXXH6KEc/17oCRNPEjkc/5WP6FVpaP0c/7OV8BbT1wWVoGH1x+2gmR7+EeuFHrhR7c2gnaM9oKF1x/ChHP/RUTyIJH+xHQBV2AOFwFVVHQCI8GxyIOrFldX1x/ShoHV1x/n1x/yhoIFgCAAAAQ3JyAAEAAGgiSwF1YWgjXXIBAQAAKEc/0LI7MNiP+kc/560tuvk6v0c/4zzgq6biV2VoGH1yAgEAAGgmR798rAgxJul5c2gnWAIAAABDcnIDAQAAaChdcgQBAAAoRz/RM/HamyEIR0AXwuCX9gpKR0AYR5YBqFIHZXV9cgUBAAAoaB1dcgYBAAB9cgcBAAAoaCBqAAEAAGgiSwF1YWgjXXIIAQAAKEc/56biZ5O4A0c/6FLSRQbFQUc/uecFXTcSvGVoGH1yCQEAAGgmR798rAgxJul5c2gnWAIAAABDcnIKAQAAaChdcgsBAAAoR0AO5LxPl/HaR0AYY5xaeOiJRz/wWG/iixNSZXV9cgwBAAAoaB1dcg0BAAB9cg4BAAAoaCBqAAEAAGgiSwF1YWgjXXIPAQAAKEc/56biZ5O4A0c/0KWkig2Kgkc/2YY+qLI7UWVoGH1yEAEAAGgmR798rAgxJul5c2gnWAIAAABDcnIRAQAAaChdchIBAAAoR0AUFk+S3b+/R0AApcbOT5scR0AQG14QYsheZXV9chMBAAAoaB1dchQBAAB9chUBAAAoaCBqAAEAAGgiSwF1YWgjXXIWAQAAKEc/0LI7MNiP+kc/zrS26+Tq/Ec/7MMfVFkdqWVoGH1yFwEAAGgmR798rAgxJul5c2gnWAIAAABDcnIYAQAAaChdchkBAAAoRz/23MIi7eOKRz/+yJ6Sk707R0AiJmwMtCrJZXV9choBAAAoaB1dchsBAAB9chwBAAAoaCBYAgAAAFRsch0BAABoIksBdWFoI11yHgEAAChHP+XbMPNn7CJHP6q4nsJ4YA5HP+oMhxc1/JFlaBh9ch8BAABoJkc/UGJN0vGp/HNoJ1gCAAAAVGxyIAEAAGgoXXIhAQAAKEdAFE76N/JJMkc/2lTqQ2fcjEdAIHAa9Hhb6GV1fXIiAQAAKGgdXXIjAQAAfXIkAQAAKGggah0BAABoIksBdWFoI11yJQEAAChHP9RJnhkwJ7tHP9yo7Cew8/5HP9QZDi5r+SJlaBh9ciYBAABoJkc/UGJN0vGp/HNoJ1gCAAAAVGxyJwEAAGgoXXIoAQAAKEc/9foXjpu9u0dADL94zyx+KEdACV13v9ZVOGV1fXIpAQAAKGgdXXIqAQAAfXIrAQAAKGggah0BAABoIksBdWFoI11yLAEAAChHP9RJnhkwJ7tHP+5UdhPYef9HP8fN46MoDbtlaBh9ci0BAABoJkc/UGJN0vGp/HNoJ1gCAAAAVGxyLgEAAGgoXXIvAQAAKEc/y1KPEqUToEdAHnB1WudaD0c//gr4pGmKWmV1fXIwAQAAKGgdXXIxAQAAfXIyAQAAKGggah0BAABoIksBdWFoI11yMwEAAChHP+XbMPNn7CJHP+GriewnhgFHP+XzeOjKA29laBh9cjQBAABoJkc/UGJN0vGp/HNoJ1gCAAAAVGxyNQEAAGgoXXI2AQAAKEdAD1YRmcEEwEdAEbYHl4eYxEdAG7Q4Mh/vymV1ZXVYBgAAAHRhcmdldHI3AQAAR0AGU/fO2RaHdS5QSwcIThOzYpMWAACTFgAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAaACUAbWItbXAtZ2FwLTA5MjU5OS9ieXRlb3JkZXJGQiEAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpabGl0dGxlUEsHCIU94xkGAAAABgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGAA0AG1iLW1wLWdhcC0wOTI1OTkvdmVyc2lvbkZCMABaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlozClBLBwjRnmdVAgAAAAIAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAACcAKQBtYi1tcC1nYXAtMDkyNTk5Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRGQiUAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjA2MzY0NTc3Mzc5NDY0MDEwNTEzMDAwMDAwMTc5OTQ2ODMzODI3NTJQSwcI479UgygAAAAoAAAAUEsBAgAAAAAICAAAAAAAAE4Ts2KTFgAAkxYAABkAAAAAAAAAAAAAAAAAAAAAAG1iLW1wLWdhcC0wOTI1OTkvZGF0YS5wa2xQSwECAAAAAAgIAAAAAAAAhT3jGQYAAAAGAAAAGgAAAAAAAAAAAAAAAADjFgAAbWItbXAtZ2FwLTA5MjU5OS9ieXRlb3JkZXJQSwECAAAAAAgIAAAAAAAA0Z5nVQIAAAACAAAAGAAAAAAAAAAAAAAAAABWFwAAbWItbXAtZ2FwLTA5MjU5OS92ZXJzaW9uUEsBAgAAAAAICAAAAAAAAOO/VIMoAAAAKAAAACcAAAAAAAAAAAAAAAAA0hcAAG1iLW1wLWdhcC0wOTI1OTkvLmRhdGEvc2VyaWFsaXphdGlvbl9pZFBLBgYsAAAAAAAAAB4DLQAAAAAAAAAAAAQAAAAAAAAABAAAAAAAAAAqAQAAAAAAAHgYAAAAAAAAUEsGBwAAAACiGQAAAAAAAAEAAABQSwUGAAAAAAQABAAqAQAAeBgAAAAA" | ./matbench_mp_gap/mb-mp-gap-092599 | /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.