pt unknown | __key__ stringlengths 12 34 | __url__ stringclasses 2
values |
|---|---|---|
"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" | ./matbench_mp_gap/mb-mp-gap-087449 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA3NTQ1MS9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHwBPbjDQAYqZHwBr7WiuajYpHAAAAAAAAAABlXXENKEfAE9uMNABipkdAGvtaK5qNikeAAAAAAAAAAGVdcQ4oR0AT24w0AGKmRwAAAAAAAAAAR8AdpIiJpt1PZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAIMAuPE52GFgBAAAAYnESR0AgwC48TnYYWAEAAABjcRNHQCHW9F0jmihYBQAAAGFscGhhcRRHQFtQye7ZaHlYBAAAAGJldGFxFUdAW1DJ7tloeVgFAAAAZ2FtbWFxFkdAWtL9ILIQ8lgGAAAAdm9sdW1lcRdHQH8FNLgabQl1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAEAAABLcSFYBAAAAG9jY3VxIksBdWFYAwAAAGFiY3EjXXEkKEc/2AAAAAAAAEc/wAAAAAAAAEc/0AAAAAAAAGVoGH1xJVgGAAAAbWFnbW9tcSZHAAAAAAAAAABzWAUAAABsYWJlbHEnaCFYAwAAAHh5enEoXXEpKEe/89uMNABipke/+vtaK5qNi0e//aSIiabdT2V1fXEqKGgdXXErfXEsKGggaCFoIksBdWFoI11xLShHP+QAAAAAAABHP+wAAAAAAABHP+gAAAAAAABlaBh9cS5oJkcAAAAAAAAAAHNoJ2ghaChdcS8oR8ANyVJOAJP5Rz/6+1ormo2MR8AWO2ZnPSX7ZXV9cTAoaB1dcTF9cTIoaCBYAgAAAEFscTNoIksBdWFoI11xNChHP8AAAAAAAABHP9gAAAAAAABHP+gAAAAAAABlaBh9cTVoJkeAAAAAAAAAAHNoJ1gCAAAAQWxxNmgoXXE3KEc/89uMNABipkc/+vtaK5qNi0fAFjtmZz0l+2V1fXE4KGgdXXE5fXE6KGggaDNoIksBdWFoI11xOyhHP+wAAAAAAABHP+QAAAAAAABHP9AAAAAAAABlaBh9cTxoJkeAAAAAAAAAAHNoJ1gCAAAAQWxxPWgoXXE+KEfAGNJvQQB7UEe/+vtaK5qNjEe//aSIiabdT2V1fXE/KGgdXXFAfXFBKGggWAEAAABCcUJoIksBdWFoI11xQyhHP+g+ZshhAk5HP+SZL6bhq6xHP9x0iV8O2TdlaBh9cURoJkcAAAAAAAAAAHNoJ1gBAAAAQnFFaChdcUYoR8AS/3NTVQJiR7/olvfKRwXAR8AKW+sn28JlZXV9cUcoaB1dcUh9cUkoaCBoQmgiSwF1YWgjXXFKKEc/5l7q91o/EUc/1AhEPG/y10c/rFu1B4k2SmVoGH1xS2gmRwAAAAAAAAAAc2gnaEVoKF1xTChHwBL/c1ap4xhHwATVnC/7ExFHv9pE6w5Y11NldX1xTShoHV1xTn1xTyhoIGhCaCJLAXVhaCNdcVAoRz/rZtBZHlRURz/nwZk3nv2yRz+sW7UHiTZKZWgYfXFRaCZHAAAAAAAAAABzaCdoRWgoXXFSKEfAHqVrLqv0PEe/6Jb3ykcFwEe/2kTrDljXU2V1fXFTKGgdXXFUfXFVKGggaEJoIksBdWFoI11xVihHP8fvd4cgGlJHP+mhFQilwO9HP9x0iV8O2TdlaBh9cVdoJkcAAAAAAAAAAHNoJ2hFaChdcVgoR8AFk73urWHBR0AQkIwTnQQBR8AKW+sn28JlZXV9cVkoaB1dcVp9cVsoaCBoQmgiSwF1YWgjXXFcKEc/zwZk3nv2xkc/1s2gsjyoqEc/4cW7UHiTZWVoGH1xXWgmR4AAAAAAAAAAc2gnaEVoKF1xXihHv8uDHBVsCFBHP+iW98pHBbxHwBB2kvW4/B1ldX1xXyhoHV1xYH1xYShoIGhCaCJLAXVhaCNdcWIoRz/TQioRS4HfRz/l+93hyAaURz/uOkSvh2ybZWgYfXFjaCZHAAAAAAAAAABzaCdoRWgoXXFkKEe/y4Mbqs/xwEdABNWcL/sTD0fAHAA52MFP2WV1fXFlKGgdXXFmfXFnKGggaEJoIksBdWFoI11xaChHP8JkvpuGrrBHP9B8zZDCBJ1HP+46RK+HbJtlaBh9cWloJkeAAAAAAAAAAHNoJ2hFaChdcWooR0AFk731VyMqRz/olvfKRwW9R8AcADnYwU/ZZXV9cWsoaB1dcWx9cW0oaCBoQmgiSwF1YWgjXXFuKEc/6gQiHjf5bEc/yXur3Wj8Q0c/4cW7UHiTZWVoGH1xb2gmRwAAAAAAAAAAc2gnaEVoKF1xcChHwAIjWnlTY41HwBCQjBOdBAJHwBB2kvW4/B1ldX1xcShoHV1xcn1xcyhoIFgBAAAASHF0aCJLAXVhaCNdcXUoRz/n8bM2ItG8Rz/nWp1KUzVcRz/WqP8Hh4jLZWgYfXF2aCZHgAAAAAAAAABzaCdodGgoXXF3KEfAFlHpqvCvmke/v9kjUXZ4wEfABP2p6Y73z2V1fXF4KGgdXXF5fXF6KGggaHRoIksBdWFoI11xeyhHP+wGHcaPcPdHP9k6Z2S+Gq1HP8KuAfDw7mplaBh9cXxoJkeAAAAAAAAAAHNoJ2h0aChdcX0oR8AWUemq8K+aR8AJ/JERDtnER7/xTb1AL8r/ZXV9cX4oaB1dcX99cYAoaCBodGgiSwF1YWgjXXGBKEc/6KVitazKpEc/6A5Myd0uREc/wq4B8PDuamVoGH1xgmgmRwAAAAAAAAAAc2gnaHRoKF1xgyhHwBtS9NcQRwRHv7/ZI1F2eMBHv/FNvUAvyv9ldX1xhChoHV1xhX1xhihoIGh0aCJLAXVhaCNdcYcoRz+7FmJtB5VLRz/j+eI5cI8JRz/WqP8Hh4jLZWgYfXGIaCZHgAAAAAAAAABzaCdodGgoXXGJKEe//d2ijD+RekdAC/ojRiZBUEfABP2p6Y73z2V1fXGKKGgdXXGLfXGMKGggaHRoIksBdWFoI11xjShHP9AcmZO6XIhHP9FKxWtZlUhHP+SrgHw8O5tlaBh9cY5oJkcAAAAAAAAAAHNoJ2h0aChdcY8oRz/jsuu3gmeoRz+/2SNRdnjAR8ATJbOU32FoZXV9cZAoaB1dcZF9cZIoaCBodGgiSwF1YWgjXXGTKEc/v88Ry4R4Skc/42LMTaDyqUc/61R/g8PEZWVoGH1xlGgmRwAAAAAAAAAAc2gnaHRoKF1xlShHP+Oy67eCZ6RHQAn8kREO2cRHwBlRGTma6o9ldX1xlihoHV1xl31xmChoIGh0aCJLAXVhaCNdcZkoRz/NanUpTNVxRz/PxszYi0bwRz/rVH+Dw8RlZWgYfXGaaCZHAAAAAAAAAABzaCdodGgoXXGbKEc//d2ijD+ReEc/v9kjUXZ4wEfAGVEZOZrqj2V1fXGcKGgdXXGdfXGeKGggaHRoIksBdWFoI11xnyhHP+ydM7JfDVdHP9gMO40e4e1HP+SrgHw8O5tlaBh9caBoJkcAAAAAAAAAAHNoJ2h0aChdcaEoR8AIyEch4PyQR8AL+iNGJkFRR8ATJbOU32FoZXV9caIoaB1dcaN9caQoaCBodGgiSwF1YWgjXXGlKEc/6xYfQQ3nSUc/6IJe78+GO0c/4zcE3wzrS2VoGH1xpmgmRwAAAAAAAAAAc2gnaHRoKF1xpyhHwBQYCP3tRzRHv+FiU4x+jChHwBHMqF+XSpBldX1xqChoHV1xqX1xqihoIGh0aCJLAXVhaCNdcasoRz/lS1oQwprwRz/PfGmIA+/6Rz/syPsg8xS1ZWgYfXGsaCZHAAAAAAAAAABzaCdodGgoXXGtKEe/rj5k9nJHgEfABqLFSHrqfkfAGqokbuMBZmV1fXGuKGgdXXGvfXGwKGggaHRoIksBdWFoI11xsShHP+d9oRAwecVHP+Tp4L7yGLdHP+zI+yDzFLVlaBh9cbJoJkcAAAAAAAAAAHNoJ2h0aChdcbMoR8ADYpKgJpmKR7/hYlOMfowoR8AaqiRu4wFmZXV9cbQoaB1dcbV9cbYoaCBodGgiSwF1YWgjXXG3KEc/0EHLO/4IA0c/6rSl7z1lEEc/4zcE3wzrS2VoGH1xuGgmRwAAAAAAAAAAc2gnaHRoKF1xuShHwANikqAmmYhHQA9T7w66MJZHwBHMqF+XSpBldX1xuihoHV1xu31xvChoIGh0aCJLAXVhaCNdcb0oRz/Dp4L7yGLbRz/N9oRAwecWRz/ZkfZB5ilqZWgYfXG+aCZHAAAAAAAAAABzaCdodGgoXXG/KEc/rj5k9nJHQEc/4WJTjH6MLkfAB6/AVB8lfWV1fXHAKGgdXXHBfXHCKGggaHRoIksBdWFoI11xwyhHP9VpS956yiFHP+gg5Z3/BAJHP7m4JvhnWldlaBh9ccRoJkcAAAAAAAAAAHNoJ2h0aChdccUoR8ATnw9qE34XR0AGosVIeuqAR7/n0yDWHt9GZXV9ccYoaB1dccd9ccgoaCBodGgiSwF1YWgjXXHJKEc/0QS9358MdUc/1iw+ghvOk0c/ubgm+GdaV2VoGH1xymgmRwAAAAAAAAAAc2gnaHRoKF1xyyhHwARUhcfaK8NHP+FiU4x+jC5Hv+fTINYe30ZldX1xzChoHV1xzX1xzihoIGh0aCJLAXVhaCNdcc8oRz/n3xpiAPv+Rz/FLWhDCmu/Rz/ZkfZB5ilqZWgYfXHQaCZHAAAAAAAAAABzaCdodGgoXXHRKEfABFSFx9orxEfAD1PvDrowlEfAB6/AVB8lfWV1fXHSKGgdXXHTfXHUKGggaHRoIksBdWFoI11x1ShHP+s2AnByrslHP+G+5j9kmd5HP9sWrm07QcplaBh9cdZoJkcAAAAAAAAAAHNoJ2h0aChdcdcoR8ATfjJ8eD3IR7//7H9jhRmIR8AJF9Xl2S9QZXV9cdgoaB1dcdl9cdooaCBodGgiSwF1YWgjXXHbKEc/5DOPCMb4+Ec/21VWc6obyEc/s6VGSxL41mVoGH1x3GgmRwAAAAAAAAAAc2gnaHRoKF1x3ShHwBN+Mnx4PcZHv/YKNPOwAYhHv+Iyyo82t/pldX1x3ihoHV1x331x4ChoIGh0aCJLAXVhaCNdceEoRz/uQRnAm2YiRz/kyf2PjVE3Rz+zpUZLEvjWZWgYfXHiaCZHAAAAAAAAAABzaCdodGgoXXHjKEfAHiasBYi42Ee//+x/Y4UZiEe/4jLKjza3+mV1fXHkKGgdXXHlfXHmKGggaHRoIksBdWFoI11x5yhHP7KqpjFXkOFHP+vMcPc5BwhHP9sWrm07QcplaBh9cehoJkeAAAAAAAAAAHNoJ2h0aChdcekoR8AElj+jEKxlR0AVeMzuro0oR8AJF9Xl2S9QZXV9ceooaB1dcet9cewoaCBodGgiSwF1YWgjXXHtKEc/wyf2PjVE20c/3IIzgTbMRUc/4nSoyWJfG2VoGH1x7mgmRwAAAAAAAAAAc2gnaHRoKF1x7yhHv7dWbeIJN+BHP//sf2OFGYtHwBEYnZa6RadldX1x8ChoHV1x8X1x8ihoIGh0aCJLAXVhaCNdcfMoRz/XmOHucg4PRz/iVVTGKvIcRz/ti1c2naDlZWgYfXH0aCZHAAAAAAAAAABzaCdodGgoXXH1KEe/t1Zt4gk4AEc/9go087ABjEfAG14vN8AGUGV1fXH2KGgdXXH3fXH4KGggaHRoIksBdWFoI11x+ShHP6vuY/ZJndlHP9ZsBODlXZJHP+2LVzadoOVlaBh9cfpoJkcAAAAAAAAAAHNoJ2h0aChdcfsoR0AElj+jEKxkRz//7H9jhRmJR8AbXi83wAZQZXV9cfwoaB1dcf19cf4oaCBodGgiSwF1YWgjXXH/KEc/7aqrOdUN5Ec/wM48Ixvj4Uc/4nSoyWJfG2VoGH1yAAEAAGgmRwAAAAAAAAAAc2gnaHRoKF1yAQEAAChHwAMg2MTwGOdHwBV4zO6ujSdHwBEYnZa6RadldX1yAgEAAChoHV1yAwEAAH1yBAEAAChoIGh0aCJLAXVhaCNdcgUBAAAoRz/jDFBq/Hg2Rz/g9FkC0JTYRz/YxIr/IgmVZWgYfXIGAQAAaCZHAAAAAAAAAABzaCdodGgoXXIHAQAAKEfADVAtmWHadEe/3D6ud+5wSEfABvF27Wu9YWV1fXIIAQAAKGgdXXIJAQAAfXIKAQAAKGggaHRoIksBdWFoI11yCwEAAChHP+SSE4M/kA5HP8qoK62tza5HP7zt1AN32atlaBh9cgwBAABoJkcAAAAAAAAAAHNoJ2h0aChdcg0BAAAoR8ANUC2ZYdp0R8AHc4RcnL+CR7/qzEZw7H+4ZXV9cg4BAAAoaB1dcg8BAAB9chABAAAoaCBodGgiSwF1YWgjXXIRAQAAKEc/7wum/S9rKEc/7POvlQOHykc/vO3UA3fZq2VoGH1yEgEAAGgmRwAAAAAAAAAAc2gnaHRoKF1yEwEAAChHwCF+Y9qoBLJHv9w+rnfucEBHv+rMRnDsf7hldX1yFAEAAChoHV1yFQEAAH1yFgEAAChoIGh0aCJLAXVhaCNdchcBAAAoRz/Sq+opKRkpRz/rbex8wG/yRz/YxIr/IgmVZWgYfXIYAQAAaCZHgAAAAAAAAABzaCdodGgoXXIZAQAAKEfADkJ3Ap9NfEdADoMv+phbkkfABvF27Wu9YWV1fXIaAQAAKGgdXXIbAQAAfXIcAQAAKGggaHRoIksBdWFoI11yHQEAAChHP9nnXyoHD5RHP94XTfpe1k9HP+OduoBu+zVlaBh9ch4BAABoJkeAAAAAAAAAAHNoJ2h0aChdch8BAAAoR7/0zdWdPdWyRz/cPq537nBAR8ASK80S8P6eZXV9ciABAAAoaB1dciEBAAB9ciIBAAAoaCBodGgiSwF1YWgjXXIjAQAAKEc/1tvY+YDf5Ec/6VX1FJSMlEc/7GJFf5EEy2VoGH1yJAEAAGgmRwAAAAAAAAAAc2gnaHRoKF1yJQEAAChHv/TN1Z091axHQAdzhFycv4FHwBpK/7uJTVhldX1yJgEAAChoHV1yJwEAAH1yKAEAAChoIGh0aCJLAXVhaCNdcikBAAAoRz+eiyBaEpsNRz+4YoNX48GxRz/sYkV/kQTLZWgYfXIqAQAAaCZHAAAAAAAAAABzaCdodGgoXXIrAQAAKEdADkJ3Ap9Nfkc/3D6ud+5wREfAGkr/u4lNWGV1fXIsAQAAKGgdXXItAQAAfXIuAQAAKGggaHRoIksBdWFoI11yLwEAAChHP+aqCutrc2xHP8JITgz+QDdHP+OduoBu+zVlaBh9cjABAABoJkeAAAAAAAAAAHNoJ2h0aChdcjEBAAAoR7/y6ULKwu+iR8AOgy/6mFuTR8ASK80S8P6eZXVldVgGAAAAdGFyZ2V0cjIBAABHQBqlenhsImh1LlBLBwhGjXrVTRYAAE0WAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABoAKwBtYi1tcC1nYXAtMDc1NDUxL2J5dGVvcmRlckZCJwBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpsaXR0bGVQSwcIhT3jGQYAAAAGAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAYADQAbWItbXAtZ2FwLTA3NTQ1MS92ZXJzaW9uRkIwAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjMKUEsHCNGeZ1UCAAAAAgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAJwApAG1iLW1wLWdhcC0wNzU0NTEvLmRhdGEvc2VyaWFsaXphdGlvbl9pZEZCJQBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMDYzNjQ1NzczNzk0NjQwMTA1MTMwMDAwMDAyNjAxOTY2NDIwNTUyOFBLBwgPNPHqKAAAACgAAABQSwECAAAAAAgIAAAAAAAARo161U0WAABNFgAAGQAAAAAAAAAAAAAAAAAAAAAAbWItbXAtZ2FwLTA3NTQ1MS9kYXRhLnBrbFBLAQIAAAAACAgAAAAAAACFPeMZBgAAAAYAAAAaAAAAAAAAAAAAAAAAAJ0WAABtYi1tcC1nYXAtMDc1NDUxL2J5dGVvcmRlclBLAQIAAAAACAgAAAAAAADRnmdVAgAAAAIAAAAYAAAAAAAAAAAAAAAAABYXAABtYi1tcC1nYXAtMDc1NDUxL3ZlcnNpb25QSwECAAAAAAgIAAAAAAAADzTx6igAAAAoAAAAJwAAAAAAAAAAAAAAAACSFwAAbWItbXAtZ2FwLTA3NTQ1MS8uZGF0YS9zZXJpYWxpemF0aW9uX2lkUEsGBiwAAAAAAAAAHgMtAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAACoBAAAAAAAAOBgAAAAAAABQSwYHAAAAAGIZAAAAAAAAAQAAAFBLBQYAAAAABAAEACoBAAA4GAAAAAA=" | ./matbench_mp_gap/mb-mp-gap-075451 | /tmp/hf-datasets-cache/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-031275 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTAwMzI0MC9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQCMiFuZLePpHvkV5juIwjDpHwAsO8fiAWdhlXXENKEfAEyIW5vdFcUdAIJHeu+KZvkfACw7x+IBZ2GVdcQ4oRz5FeY7iMIw6Rz5VeY7iMIw6R0AkSzVbgYX9ZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAJEs1XUbptFgBAAAAYnESR0AkSzVl9py8WAEAAABjcRNHQCRLNVuBhf1YBQAAAGFscGhhcRRHQFteKH9k7/BYBAAAAGJldGFxFUdAW14ogZ3tUFgFAAAAZ2FtbWFxFkdAW14ocZrUM1gGAAAAdm9sdW1lcRdHQIkhy0TRTDN1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABNZ3EhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP9gAAAAAAABHP+gAAAAAAABHP8AAAAAAAABlaBh9cSVYBgAAAG1hZ21vbXEmR79gYk3S8an8c1gFAAAAbGFiZWxxJ1gCAAAATWdxKFgDAAAAeHl6cSldcSooR7461/Knc9zyR0AY2s4Zvm0OR8AESzWJz6IUZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/wAAAAAAAAEc/0AAAAAAAAEc/2AAAAAAAAGVoGH1xL2gmR79gYk3S8an8c2gnWAIAAABNZ3EwaCldcTEoRz4VeY7mkaSwR0AAkd68uVlTR0AESzVMEidLZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/2AAAAAAAAEc/wAAAAAAAAEc/0AAAAAAAAGVoGH1xNmgmR79gYk3S8an8c2gnWAIAAABNZ3E3aCldcTgoR0AH6pygCUpXRz/wkd68OH/5Rz/rDvF9BWREZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/wAAAAAAAAEc/2AAAAAAAAEc/6AAAAAAAAGVoGH1xPWgmR79gYk3S8an8c2gnWAIAAABNZ3E+aCldcT8oR7/jIhbkSBOWR0AI2s4brFjkR0AXrROLIjKGZXV9cUAoaB1dcUF9cUIoaCBoIWgiSwF1YWgjXXFDKEc/7AAAAAAAAEc/6AAAAAAAAEc/5AAAAAAAAGVoGH1xRGgmR79gYk3S8an8c2gnWAIAAABNZ3FFaCldcUYoR0ATIhbmNf9rR0AY2s4aFFNKRz/rDvDDzPPgZXV9cUcoaB1dcUh9cUkoaCBoIWgiSwF1YWgjXXFKKEc/6AAAAAAAAEc/wAAAAAAAAEc/2AAAAAAAAGVoGH1xS2gmR79gYk3S8an8c2gnWAIAAABNZ3FMaCldcU0oR0AaTt980rl2Rz/wkd674pm+Rz/rDvE/R+l8ZXV9cU4oaB1dcU99cVAoaCBoIWgiSwF1YWgjXXFRKEc/6AAAAAAAAEc/5AAAAAAAAEc/7AAAAAAAAGVoGH1xUmgmR79gYk3S8an8c2gnWAIAAABNZ3FTaCldcVQoR0AQvdQJrPz4R0AUtlZrhwylR0AQ6VcFSmy2ZXV9cVUoaB1dcVZ9cVcoaCBoIWgiSwF1YWgjXXFYKEc/5AAAAAAAAEc/0AAAAAAAAEc/7AAAAAAAAGVoGH1xWWgmR79gYk3S8an8c2gnWAIAAABNZ3FaaCldcVsoR0ATIhbmttjER0AAkd69ZSXKR0AXrRODaoMsZXV9cVwoaB1dcV19cV4oaCBoIWgiSwF1YWgjXXFfKEc/0AAAAAAAAEc/7AAAAAAAAEc/5AAAAAAAAGVoGH1xYGgmR79gYk3S8an8c2gnWAIAAABNZ3FhaCldcWIoR7/8syJaHQHuR0Ac/0XJeFmDR0AESzUtM2nlZXV9cWMoaB1dcWR9cWUoaCBoIWgiSwF1YWgjXXFmKEc/7AAAAAAAAEc/5AAAAAAAAEc/0AAAAAAAAGVoGH1xZ2gmR79gYk3S8an8c2gnWAIAAABNZ3FoaCldcWkoR0AVhlnC1HtuR0AUtlZqmtOCR8AESzWZPwDHZXV9cWooaB1dcWt9cWwoaCBoIWgiSwF1YWgjXXFtKEc/5AAAAAAAAEc/7AAAAAAAAEc/6AAAAAAAAGVoGH1xbmgmR79gYk3S8an8c2gnWAIAAABNZ3FvaCldcXAoRz/8syJZG085R0Ac/0XJYt/1R0AESzUdxAs0ZXV9cXEoaB1dcXJ9cXMoaCBoIWgiSwF1YWgjXXF0KEc/0AAAAAAAAEc/2AAAAAAAAEc/wAAAAAAAAGVoGH1xdWgmR79gYk3S8an8c2gnWAIAAABNZ3F2aCldcXcoRz/jIhbk8+ALR0AI2s4Z0+adR7/rDvI2PdSiZXV9cXgoaB1dcXl9cXooaCBYAgAAAEN1cXtoIksBdWFoI11xfChHAAAAAAAAAABHAAAAAAAAAABHAAAAAAAAAABlaBh9cX1oJkc/7euFHrhR7HNoJ1gCAAAAQ3VxfmgpXXF/KEcAAAAAAAAAAEcAAAAAAAAAAEcAAAAAAAAAAGV1fXGAKGgdXXGBfXGCKGggaHtoIksBdWFoI11xgyhHAAAAAAAAAABHP+AAAAAAAABHAAAAAAAAAABlaBh9cYRoJkc/7euFHrhR7HNoJ1gCAAAAQ3VxhWgpXXGGKEfAAyIW5vdFcUdAEJHeu+KZvke/+w7x+IBZ2GV1fXGHKGgdXXGIfXGJKGggaHtoIksBdWFoI11xiihHAAAAAAAAAABHAAAAAAAAAABHP+AAAAAAAABlaBh9cYtoJkc/7euFHrhR7HNoJ1gCAAAAQ3VxjGgpXXGNKEc+NXmO4jCMOkc+RXmO4jCMOkdAFEs1W4GF/WV1fXGOKGgdXXGPfXGQKGggaHtoIksBdWFoI11xkShHAAAAAAAAAABHP+AAAAAAAABHP+AAAAAAAABlaBh9cZJoJkc/7euFHrhR7HNoJ1gCAAAAQ3Vxk2gpXXGUKEfAAyIW5kt4+kdAEJHevI5mNUdACw7xusLfDmV1fXGVKGgdXXGWfXGXKGggaHtoIksBdWFoI11xmChHP+AAAAAAAABHAAAAAAAAAABHP+AAAAAAAABlaBh9cZloJkc/7euFHrhR7HNoJ1gCAAAAQ3VxmmgpXXGbKEdAEyIW5qFfNkc+NXmO4jCMOkdACw7xusLfDmV1fXGcKGgdXXGdfXGeKGggaHtoIksBdWFoI11xnyhHP+AAAAAAAABHP+AAAAAAAABHAAAAAAAAAABlaBh9caBoJkc/7euFHrhR7HNoJ1gCAAAAQ3VxoWgpXXGiKEdAAyIW5Z+sg0dAEJHeu4yzgkfACw7x+IBZ2GV1fXGjKGgdXXGkfXGlKGggaHtoIksBdWFoI11xpihHP+AAAAAAAABHP+AAAAAAAABHP+AAAAAAAABlaBh9cadoJkc/7euFHrhR7HNoJ1gCAAAAQ3VxqGgpXXGpKEdAAyIW5kt4+kdAEJHevDh/+Uc/+w7xfQVkRGV1fXGqKGgdXXGrfXGsKGggaHtoIksBdWFoI11xrShHP+AAAAAAAABHAAAAAAAAAABHAAAAAAAAAABlaBh9ca5oJkc/7euFHrhR7HNoJ1gCAAAAQ3Vxr2gpXXGwKEdAEyIW5kt4+ke+NXmO4jCMOke/+w7x+IBZ2GV1fXGxKGgdXXGyfXGzKGggWAIAAABTaXG0aCJLAXVhaCNdcbUoRz/QAAAAAAAARz/AAAAAAAAARz/sAAAAAAAAZWgYfXG2aCZHP3BiTdLxqfxzaCdYAgAAAFNpcbdoKV1xuChHP/yzIlt0mt1HP/CR3r/pZIhHQB5w0AGKmaJldX1xuShoHV1xun1xuyhoIGi0aCJLAXVhaCNdcbwoRz/oAAAAAAAARz/sAAAAAAAARz/AAAAAAAAAZWgYfXG9aCZHP3BiTdLxqfxzaCdYAgAAAFNpcb5oKV1xvyhHQAfqnJ7cpIZHQBz/Rch2ptFHwBDpV0MH54FldX1xwChoHV1xwX1xwihoIGi0aCJLAXVhaCNdccMoRz/YAAAAAAAARz/QAAAAAAAARz/kAAAAAAAAZWgYfXHEaCZHP3BiTdLxqfxzaCdYAgAAAFNpccVoKV1xxihHQAMiFubMUlNHQACR3r0PP49HQBDpVxS5y2hldX1xxyhoHV1xyH1xyShoIGi0aCJLAXVhaCNdccooRz/kAAAAAAAARz/YAAAAAAAARz/QAAAAAAAAZWgYfXHLaCZHP3BiTdLxqfxzaCdYAgAAAFNpccxoKV1xzShHQBC91AlskExHQAjazhmo839Hv+sO8nP7T2xldX1xzihoHV1xz31x0ChoIGi0aCJLAXVhaCNdcdEoRz/AAAAAAAAARz/oAAAAAAAARz/sAAAAAAAAZWgYfXHSaCZHP3BiTdLxqfxzaCdYAgAAAFNpcdNoKV1x1ChHwAMiFuYghd1HQBjazhrrEt5HQBetE4NqgyxldX1x1ShoHV1x1n1x1yhoIGi0aCJLAXVhaCNdcdgoRz/sAAAAAAAARz/AAAAAAAAARz/oAAAAAAAAZWgYfXHZaCZHP3BiTdLxqfxzaCdYAgAAAFNpcdpoKV1x2yhHQB8XZTamBGFHP/CR3r2QGOdHQBDpVw0CHBBldX1x3ChoHV1x3X1x3ihoIGi0aCJLAXVhaCNdcd8oRz/oAAAAAAAARz/YAAAAAAAARz/kAAAAAAAAZWgYfXHgaCZHP3BiTdLxqfxzaCdYAgAAAFNpceFoKV1x4ihHQBWGWcM/2zZHQAjazhp/sxRHQARLNS0zaeVldX1x4yhoHV1x5H1x5ShoIGi0aCJLAXVhaCNdceYoRz/YAAAAAAAARz/kAAAAAAAARz/oAAAAAAAAZWgYfXHnaCZHP3BiTdLxqfxzaCdYAgAAAFNpcehoKV1x6ShHP+MiFub3RXJHQBS2VmuchjRHQBDpVw0CHBBldX1x6ihoHV1x631x7ChoIGi0aCJLAXVhaCNdce0oRz/AAAAAAAAARz/sAAAAAAAARz/QAAAAAAAAZWgYfXHuaCZHP3BiTdLxqfxzaCdYAgAAAFNpce9oKV1x8ChHwAfqnKC1Fs1HQBz/RckM+blHv+sO8nP7T2xldX1x8ShoHV1x8n1x8yhoIGi0aCJLAXVhaCNdcfQoRz/sAAAAAAAARz/QAAAAAAAARz/AAAAAAAAAZWgYfXH1aCZHP3BiTdLxqfxzaCdYAgAAAFNpcfZoKV1x9yhHQByzIllbu+lHQACR3rsL2ipHwARLNYnPohRldX1x+ChoHV1x+X1x+ihoIGi0aCJLAXVhaCNdcfsoRz/kAAAAAAAARz/oAAAAAAAARz/YAAAAAAAAZWgYfXH8aCZHP3BiTdLxqfxzaCdYAgAAAFNpcf1oKV1x/ihHQAMiFuXKn59HQBjazhnpYCxHv+sO8rG4yjBldX1x/yhoHV1yAAEAAH1yAQEAAChoIGi0aCJLAXVhaCNdcgIBAAAoRz/QAAAAAAAARz/kAAAAAAAARz/YAAAAAAAAZWgYfXIDAQAAaCZHP3BiTdLxqfxzaCdYAgAAAFNpcgQBAABoKV1yBQEAAChHv+MiFuejEedHQBS2VmsxJmlHP+sO8T9H6XxldX1yBgEAAChoHV1yBwEAAH1yCAEAAChoIFgBAAAAT3IJAQAAaCJLAXVhaCNdcgoBAAAoRz/ScqaQovrsRz/eo74gNqw6Rz/X/F7V+UZSZWgYfXILAQAAaCZHP8LQ5WBBiTdzaCdqCQEAAGgpXXIMAQAAKEc/3ey4VDYHX0dAD7sUk5LJOUc/81aZGzbAYmV1fXINAQAAKGgdXXIOAQAAfXIPAQAAKGggagkBAABoIksBdWFoI11yEAEAAChHP5XEHfyVPGhHP9PO6HspFiRHP+ysUFrhTQxlaBh9chEBAABoJkc/wo9cKPXCj3NoJ2oJAQAAaCldchIBAAAoR7/0bv+n+zeNR0AEg39X2h+5R0Af5Jgc2kOuZXV9chMBAAAoaB1dchQBAAB9chUBAAAoaCBqCQEAAGgiSwF1YWgjXXIWAQAAKEc/wAdCVA1zW0c/41OvpR6y9Ec/7Tsj3VTaTWVoGH1yFwEAAGgmRz/C0OVgQYk3c2gnagkBAABoKV1yGAEAAChHv/sOVwLfkeRHQBQD4xokUyJHQBs1zoK3S7ZldX1yGQEAAChoHV1yGgEAAH1yGwEAAChoIGoJAQAAaCJLAXVhaCNdchwBAAAoRz/LGrLeugonRz/ixNwiqyWzRz/IYi8JrdO4ZWgYfXIdAQAAaCZHP8LQ5WBBiTdzaCdqCQEAAGgpXXIeAQAAKEe/6PQiinClUEdAE2/5dZdm2Ee/6Iv2AtpCrGV1fXIfAQAAKGgdXXIgAQAAfXIhAQAAKGggagkBAABoIksBdWFoI11yIgEAAChHP8sast66CidHP8AHQlQNc1tHP5XEHfyVPGhlaBh9ciMBAABoJkc/wtDlYEGJN3NoJ2oJAQAAaCldciQBAAAoRz/21BFea35ARz/wmWM9owYoR7/tke6NNv5iZXV9ciUBAAAoaB1dciYBAAB9cicBAAAoaCBqCQEAAGgiSwF1YWgjXXIoAQAAKEc/4sTcIqsls0c/yGIvCa3TuEc/yxqy3roKJ2VoGH1yKQEAAGgmRz/Cj1wo9cKPc2gnagkBAABoKV1yKgEAAChHQBLMsS0gYcFHP/lAfEQnBFpHv96wR9kpqgBldX1yKwEAAChoHV1yLAEAAH1yLQEAAChoIGoJAQAAaCJLAXVhaCNdci4BAAAoRz/jU6+lHrL0Rz/IYi8JrdO4Rz/eo74gNqw6ZWgYfXIvAQAAaCZHP8LQ5WBBiTdzaCdqCQEAAGgpXXIwAQAAKEdAE3d8phdDAEc/+UB8RYn8kEdAAV2BqzZtzGV1fXIxAQAAKGgdXXIyAQAAfXIzAQAAKGggagkBAABoIksBdWFoI11yNAEAAChHP8hiLwmt07hHP8sast66CidHP+LE3CKrJbNlaBh9cjUBAABoJkc/wtDlYEGJN3NoJ2oJAQAAaCldcjYBAAAoRz/p56Lda243Rz/8Ec4nGXFER0ASXR84QBdeZXV9cjcBAAAoaB1dcjgBAAB9cjkBAAAoaCBqCQEAAGgiSwF1YWgjXXI6AQAAKEc/7KxQWuFNDEc/1/xe1flGUkc/4sTcIqsls2VoGH1yOwEAAGgmRz/C0OVgQYk3c2gnagkBAABoKV1yPAEAAChHQBseA9F8RwxHQAjXC9kYuWxHP/pzfl0zsahldX1yPQEAAChoHV1yPgEAAH1yPwEAAChoIGoJAQAAaCJLAXVhaCNdckABAAAoRz/Tzuh7KRYkRz/tOyPdVNpNRz/ScqaQovrsZWgYfXJBAQAAaCZHP8LQ5WBBiTdzaCdqCQEAAGgpXXJCAQAAKEe/9ok0ABqwbUdAHkWivltYE0e/82LgfbDk7mV1fXJDAQAAKGgdXXJEAQAAfXJFAQAAKGggagkBAABoIksBdWFoI11yRgEAAChHP+07I91U2k1HP9JyppCi+uxHP9PO6HspFiRlaBh9ckcBAABoJkc/wo9cKPXCj3NoJ2oJAQAAaCldckgBAAAoR0AdcKUj49HmR0ADGtZlJOkNR7/tke7lHFwsZXV9ckkBAAAoaB1dckoBAAB9cksBAAAoaCBqCQEAAGgiSwF1YWgjXXJMAQAAKEc/lcQd/JU8aEc/yxqy3roKJ0c/wAdCVA1zW2VoGH1yTQEAAGgmRz/Cj1wo9cKPc2gnagkBAABoKV1yTgEAAChHv+nnow87eYNHP/wRziUTuZpHP97hYYc6j4ZldX1yTwEAAChoHV1yUAEAAH1yUQEAAChoIGoJAQAAaCJLAXVhaCNdclIBAAAoRz/IYi8JrdO4Rz/eo74gNqw6Rz/jU6+lHrL0ZWgYfXJTAQAAaCZHP8LQ5WBBiTdzaCdqCQEAAGgpXXJUAQAAKEe/3ey4urQEuEdAD7sUlFHejUdADusd8tRCuGV1fXJVAQAAKGgdXXJWAQAAfXJXAQAAKGggagkBAABoIksBdWFoI11yWAEAAChHP+LE3CKrJbNHP+ysUFrhTQxHP9f8XtX5RlJlaBh9clkBAABoJkc/wo9cKPXCj3NoJ2oJAQAAaCldcloBAAAoRz/1M50lIusSR0Adsbkaw9ZeR7/zYuCJ+zy2ZXV9clsBAAAoaB1dclwBAAB9cl0BAAAoaCBqCQEAAGgiSwF1YWgjXXJeAQAAKEc/wAdCVA1zW0c/lcQd/JU8aEc/yxqy3roKJ2VoGH1yXwEAAGgmRz/C0OVgQYk3c2gnagkBAABoKV1yYAEAAChHP/GKUOnK1ZtHP8aKjlN2i0NHP/pzfrnB6GdldX1yYQEAAChoHV1yYgEAAH1yYwEAAChoIGoJAQAAaCJLAXVhaCNdcmQBAAAoRz/eo74gNqw6Rz/jU6+lHrL0Rz/IYi8JrdO4ZWgYfXJlAQAAaCZHP8KPXCj1wo9zaCdqCQEAAGgpXXJmAQAAKEc/+w5XApggEkdAFAPjGO8trUe/+6plTTvX8GV1fXJnAQAAKGgdXXJoAQAAfXJpAQAAKGggagkBAABoIksBdWFoI11yagEAAChHP9f8XtX5RlJHP+LE3CKrJbNHP+ysUFrhTQxlaBh9cmsBAABoJkc/wtDlYEGJN3NoJ2oJAQAAaCldcmwBAAAoRz/o9CKJ+bgFR0ATb/l2bdCqR0AXXLPw1y70ZXV9cm0BAAAoaB1dcm4BAAB9cm8BAAAoaCBqCQEAAGgiSwF1YWgjXXJwAQAAKEc/7KxQWuFNDEc/lcQd/JU8aEc/087oeykWJGVoGH1ycQEAAGgmRz/C0OVgQYk3c2gnagkBAABoKV1ycgEAAChHQCDwzMk7PflHP8aKjkcbvkdHP6NuWygREIBldX1ycwEAAChoHV1ydAEAAH1ydQEAAChoIGoJAQAAaCJLAXVhaCNdcnYBAAAoRz/jU6+lHrL0Rz/tOyPdVNpNRz/AB0JUDXNbZWgYfXJ3AQAAaCZHP8LQ5WBBiTdzaCdqCQEAAGgpXXJ4AQAAKEc/9ok0Ff13CEdAHkWivfC9kUfADuT67YBjM2V1fXJ5AQAAKGgdXXJ6AQAAfXJ7AQAAKGggagkBAABoIksBdWFoI11yfAEAAChHP7qdfSj1l5xHP+QB0JUDXNdHP9p2R7qptJplaBh9cn0BAABoJkc/wtDlYEGJN3NoJ2oJAQAAaCldcn4BAAAoR7//77OswzhHR0AUuDeL5KM+Rz/7qmSc1xbiZXV9cn8BAAAoaB1dcoABAAB9coEBAAAoaCBqCQEAAGgiSwF1YWgjXXKCAQAAKEc/7Tsj3VTaTUc/wAdCVA1zW0c/41OvpR6y9GVoGH1ygwEAAGgmRz/Cj1wo9cKPc2gnagkBAABoKV1yhAEAAChHQCBHlLqeOqlHP/CZYz7hrYhHQATr9FJaElRldX1yhQEAAChoHV1yhgEAAH1yhwEAAChoIGoJAQAAaCJLAXVhaCNdcogBAAAoRz/X/F7V+UZSRz/ScqaQovrsRz/eo74gNqw6ZWgYfXKJAQAAaCZHP8LQ5WBBiTdzaCdqCQEAAGgpXXKKAQAAKEdAAacRUa8CDEdAAxrWZlJN4UdABOv0YdBxu2V1fXKLAQAAKGgdXXKMAQAAfXKNAQAAKGggagkBAABoIksBdWFoI11yjgEAAChHP9PO6HspFiRHP+ysUFrhTQxHP5XEHfyVPGhlaBh9co8BAABoJkc/wtDlYEGJN3NoJ2oJAQAAaCldcpABAAAoR7/1M50PNClOR0AdsbkaefX5R8AO5PrlNBWCZXV9cpEBAAAoaB1dcpIBAAB9cpMBAAAoaCBqCQEAAGgiSwF1YWgjXXKUAQAAKEc/0nKmkKL67Ec/087oeykWJEc/7Tsj3VTaTWVoGH1ylQEAAGgmRz/C0OVgQYk3c2gnagkBAABoKV1ylgEAAChHP/Ru/5F/NyhHQASDf1eKXgxHQBz9B94ETaxldX1ylwEAAChoHV1ymAEAAH1ymQEAAChoIGoJAQAAaCJLAXVhaCNdcpoBAAAoRz/mxqy3roKKRz/griDv5KnjRz/kAdCVA1zXZWgYfXKbAQAAaCZHP8LQ5WBBiTdzaCdqCQEAAGgpXXKcAQAAKEdAEUNLYQgYhUdAEUYzLqebVkdAAWOk72oEFGV1fXKdAQAAKGgdXXKeAQAAfXKfAQAAKGggagkBAABoIksBdWFoI11yoAEAAChHP+9R3xAbVh1HP+YYi8JrdO5HP7qdfSj1l5xlaBh9cqEBAABoJkc/wo9cKPXCj3NoJ2oJAQAAaCldcqIBAAAoR0AYPdbQSkbeR0AW4f3Mg/AXR8ASXR9eV5GOZXV9cqMBAAAoaB1dcqQBAAB9cqUBAAAoaCBqCQEAAGgiSwF1YWgjXXKmAQAAKEc/6/4vavyjKUc/2VigtcKaGUc/tibhFVktmWVoGH1ypwEAAGgmRz/C0OVgQYk3c2gnagkBAABoKV1yqAEAAChHQBnlrKcDXXJHQAo/tLyZWaNHwAtcq4hpMyZldX1yqQEAAChoHV1yqgEAAH1yqwEAAChoIGoJAQAAaCJLAXVhaCNdcqwBAAAoRz/pOVNIUX12Rz/adke6qbSaRz/p53Q9lIsSZWgYfXKtAQAAaCZHP8LQ5WBBiTdzaCdqCQEAAGgpXXKuAQAAKEdAFkCbN5mNpEdAC2eIBbMyNEdAEJj3ft36eGV1fXKvAQAAKGgdXXKwAQAAfXKxAQAAKGggagkBAABoIksBdWFoI11ysgEAAChHP+k5U0hRfXZHP+v+L2r8oylHP+9R3xAbVh1laBh9crMBAABoJkc/wtDlYEGJN3NoJ2oJAQAAaCldcrQBAAAoR0AK2iUdYTLVR0Ac/WSpCD5pR0ARObaQKZHvZXV9crUBAAAoaB1dcrYBAAB9crcBAAAoaCBqCQEAAGgiSwF1YWgjXXK4AQAAKEc/2nZHuqm0mkc/6ed0PZSLEkc/6TlTSFF9dmVoGH1yuQEAAGgmRz/Cj1wo9cKPc2gnagkBAABoKV1yugEAAChHP7VZbkrFzlZHQBrTnmdnPt1HQA7k+ngqmYRldX1yuwEAAChoHV1yvAEAAH1yvQEAAChoIGoJAQAAaCJLAXVhaCNdcr4BAAAoRz/ZWKC1wpoZRz/p53Q9lIsSRz/griDv5KnjZWgYfXK/AQAAaCZHP8LQ5WBBiTdzaCdqCQEAAGgpXXLAAQAAKEe/tVlv8vKBN0dAGtOeZw6Az0c/82Lfo53s7GV1fXLBAQAAKGgdXXLCAQAAfXLDAQAAKGggagkBAABoIksBdWFoI11yxAEAAChHP+nndD2UixJHP+k5U0hRfXZHP9p2R7qptJplaBh9csUBAABoJkc/wtDlYEGJN3NoJ2oJAQAAaCldcsYBAAAoR0APykUVPBZnR0AaH0nuqqOiR7/zVpnm9ZT0ZXV9cscBAAAoaB1dcsgBAAB9cskBAAAoaCBqCQEAAGgiSwF1YWgjXXLKAQAAKEc/5sast66Cikc/5hiLwmt07kc/tibhFVktmWVoGH1yywEAAGgmRz/C0OVgQYk3c2gnagkBAABoKV1yzAEAAChHQAwMrgPXVmBHQBbh/cyr0O1HwA7rHj8DNxRldX1yzQEAAChoHV1yzgEAAH1yzwEAAChoIGoJAQAAaCJLAXVhaCNdctABAAAoRz/mGIvCa3TuRz+6nX0o9ZecRz/vUd8QG1YdZWgYfXLRAQAAaCZHP8LQ5WBBiTdzaCdqCQEAAGgpXXLSAQAAKEdAGG7+KhiDTUc/65Ai77hPyUdAHPn2MRy85GV1fXLTAQAAKGgdXXLUAQAAfXLVAQAAKGggagkBAABoIksBdWFoI11y1gEAAChHP+QB0JUDXNdHP+bGrLeugopHP+CuIO/kqeNlaBh9ctcBAABoJkc/wtDlYEGJN3NoJ2oJAQAAaCldctgBAAAoR0AEnRx65+/oR0AXllJFR9kCRz/oi/Rs08ogZXV9ctkBAAAoaB1dctoBAAB9ctsBAAAoaCBqCQEAAGgiSwF1YWgjXXLcAQAAKEc/4K4g7+Sp40c/5AHQlQNc10c/5sast66CimVoGH1y3QEAAGgmRz/Cj1wo9cKPc2gnagkBAABoKV1y3gEAAChHP//vs6xtKxFHQBS4N4wDb99HQArBOBtjplVldX1y3wEAAChoHV1y4AEAAH1y4QEAAChoIGoJAQAAaCJLAXVhaCNdcuIBAAAoRz+2JuEVWS2ZRz/r/i9q/KMpRz/ZWKC1wpoZZWgYfXLjAQAAaCZHP8KPXCj1wo9zaCdqCQEAAGgpXXLkAQAAKEfACtolHeH4sEdAHP1kqLiUkEc/6Iv0qq1HzGV1fXLlAQAAKGgdXXLmAQAAfXLnAQAAKGggagkBAABoIksBdWFoI11y6AEAAChHP9lYoLXCmhlHP7Ym4RVZLZlHP+v+L2r8oyllaBh9cukBAABoJkc/wtDlYEGJN3NoJ2oJAQAAaCldcuoBAAAoR0AK/5PBmDZzRz/m8NXUAhMTR0Ac+fY1QuO8ZXV9cusBAAAoaB1dcuwBAAB9cu0BAAAoaCBqCQEAAGgiSwF1YWgjXXLuAQAAKEc/up19KPWXnEc/71HfEBtWHUc/5hiLwmt07mVoGH1y7wEAAGgmRz/C0OVgQYk3c2gnagkBAABoKV1y8AEAAChHwA1/BVhWBe1HQCA3tIMcEQFHQArBOBBlIARldX1y8QEAAChoHV1y8gEAAH1y8wEAAChoIGoJAQAAaCJLAXVhaCNdcvQBAAAoRz/kAdCVA1zXRz/adke6qbSaRz+6nX0o9ZecZWgYfXL1AQAAaCZHP8LQ5WBBiTdzaCdqCQEAAGgpXXL2AQAAKEdAEAOSlQxB+UdAC2eIBAZekkfAA6p2ZKj5qGV1fXL3AQAAKGgdXXL4AQAAfXL5AQAAKGggagkBAABoIksBdWFoI11y+gEAAChHP+CuIO/kqeNHP9lYoLXCmhlHP+nndD2UixJlaBh9cvsBAABoJkc/wo9cKPXCj3NoJ2oJAQAAaCldcvwBAAAoR0AIvQJLSuHqR0AKP7S/A6SMR0AUchIR0ageZXV9cv0BAAAoaB1dcv4BAAB9cv8BAAAoaCBqCQEAAGgiSwF1YWgjXXIAAgAAKEc/6/4vavyjKUc/71HfEBtWHUc/6TlTSFF9dmVoGH1yAQIAAGgmRz/C0OVgQYk3c2gnagkBAABoKV1yAgIAAChHQA1/BVexhyVHQCA3tILqpcxHP/uqZEBI4CBldX1yAwIAAChoHV1yBAIAAH1yBQIAAChoIGoJAQAAaCJLAXVhaCNdcgYCAAAoRz/adke6qbSaRz+6nX0o9ZecRz/kAdCVA1zXZWgYfXIHAgAAaCZHP8KPXCj1wo9zaCdqCQEAAGgpXXIIAgAAKEdAC6pfOgV8bEc/65Ai7WlMqUdAEmAw4QGBUGV1fXIJAgAAKGgdXXIKAgAAfXILAgAAKGggagkBAABoIksBdWFoI11yDAIAAChHP+nndD2UixJHP+CuIO/kqeNHP9lYoLXCmhllaBh9cg0CAABoJkc/wtDlYEGJN3NoJ2oJAQAAaCldcg4CAAAoR0AVAOJx9rlFR0ARRjMuSBCsR7/e4WOudvOQZXV9cg8CAAAoaB1dchACAAB9chECAAAoaCBqCQEAAGgiSwF1YWgjXXISAgAAKEc/71HfEBtWHUc/6TlTSFF9dkc/6/4vavyjKWVoGH1yEwIAAGgmRz/Cj1wo9cKPc2gnagkBAABoKV1yFAIAAChHQBZfC0gy6CxHQBofSe8sEY1HQAcyxUweElRldX1yFQIAAChoHV1yFgIAAH1yFwIAAChoIGoJAQAAaCJLAXVhaCNdchgCAAAoRz+2JuEVWS2ZRz/mxqy3roKKRz/mGIvCa3TuZWgYfXIZAgAAaCZHP8KPXCj1wo9zaCdqCQEAAGgpXXIaAgAAKEfABJ0cezCx10dAF5ZSRd6LbEdAETm2myY9qGV1fXIbAgAAKGgdXXIcAgAAfXIdAgAAKGggagkBAABoIksBdWFoI11yHgIAAChHP+YYi8JrdO5HP7Ym4RVZLZlHP+bGrLeugoplaBh9ch8CAABoJkc/wtDlYEGJN3NoJ2oJAQAAaCldciACAAAoR0AYxGPmUiUVRz/m8NXQrT8DR0ASYDDd7utdZXV9ciECAAAoaB1dciICAAB9ciMCAAAoaCBqCQEAAGgiSwF1YWgjXXIkAgAAKEc/3qO+IDasOkc/1/xe1flGUkc/0nKmkKL67GVoGH1yJQIAAGgmRz/Cj1wo9cKPc2gnagkBAABoKV1yJgIAAChHQAZMU/ZgXGxHQAjXC9jbIClHP6NuWGhve0BldWV1WAYAAAB0YXJnZXRyJwIAAEc/2z0HyEtd0HUuUEsHCF+MN+T7KgAA+yoAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgA9AG1iLW1wLWdhcC0wMDMyNDAvYnl0ZW9yZGVyRkI5AFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWmxpdHRsZVBLBwiFPeMZBgAAAAYAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABgANABtYi1tcC1nYXAtMDAzMjQwL3ZlcnNpb25GQjAAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMwpQSwcI0Z5nVQIAAAACAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAnACkAbWItbXAtZ2FwLTAwMzI0MC8uZGF0YS9zZXJpYWxpemF0aW9uX2lkRkIlAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlowNjM2NDU3NzM3OTQ2NDAxMDUxMzAwMDAwMDI2NjkxOTA0NDM1NDg1UEsHCMWRa6EoAAAAKAAAAFBLAQIAAAAACAgAAAAAAABfjDfk+yoAAPsqAAAZAAAAAAAAAAAAAAAAAAAAAABtYi1tcC1nYXAtMDAzMjQwL2RhdGEucGtsUEsBAgAAAAAICAAAAAAAAIU94xkGAAAABgAAABoAAAAAAAAAAAAAAAAASysAAG1iLW1wLWdhcC0wMDMyNDAvYnl0ZW9yZGVyUEsBAgAAAAAICAAAAAAAANGeZ1UCAAAAAgAAABgAAAAAAAAAAAAAAAAA1isAAG1iLW1wLWdhcC0wMDMyNDAvdmVyc2lvblBLAQIAAAAACAgAAAAAAADFkWuhKAAAACgAAAAnAAAAAAAAAAAAAAAAAFIsAABtYi1tcC1nYXAtMDAzMjQwLy5kYXRhL3NlcmlhbGl6YXRpb25faWRQSwYGLAAAAAAAAAAeAy0AAAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAKgEAAAAAAAD4LAAAAAAAAFBLBgcAAAAAIi4AAAAAAAABAAAAUEsFBgAAAAAEAAQAKgEAAPgsAAAAAA==" | ./matbench_mp_gap/mb-mp-gap-003240 | /tmp/hf-datasets-cache/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-052492 | /tmp/hf-datasets-cache/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-023324 | /tmp/hf-datasets-cache/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-095466 | /tmp/hf-datasets-cache/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-007932 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA1MDgyNC9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQBdDIuRbib9HAAAAAAAAAABHAAAAAAAAAABlXXENKEcAAAAAAAAAAEdAI+iWvvPGNkcAAAAAAAAAAGVdcQ4oRwAAAAAAAAAARwAAAAAAAAAAR0AsnQb0OvrTZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAF0Mi5FuJv1gBAAAAYnESR0Aj6Ja+88Y2WAEAAABjcRNHQCydBvQ6+tNYBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAVoAAAAAAAFgGAAAAdm9sdW1lcRdHQInhrtkVN6F1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAEAAABPcSFYBAAAAG9jY3VxIksBdWFYAwAAAGFiY3EjXXEkKEc/7rwvcLDtHUc/6z3Ke2POh0c/7ZV39tyVw2VoGH1xJVgGAAAAbWFnbW9tcSZHAAAAAAAAAABzWAUAAABsYWJlbHEnaCFYAwAAAHh5enEoXXEpKEdAFle9n5pCEEdAIPKwiXVg0EdAKnP0umTlGWV1fXEqKGgdXXErfXEsKGggaCFoIksBdWFoI11xLShHP914XuFh2jtHP8MI1hJwxeZHP7NUQEkbUetlaBh9cS5oJkcAAAAAAAAAAHNoJ2ghaChdcS8oR0AFbFha2PpiRz/3rzGr8ys0Rz/xSJHOsK3QZXV9cTAoaB1dcTF9cTIoaCBoIWgiSwF1YWgjXXEzKEc/4UPQj08S40c/1nuU9sedDUc/4mqICSNqPWVoGH1xNGgmRwAAAAAAAAAAc2gnaCFoKF1xNShHQAkZ7W3eGR1HQAv5lKft9tJHQCB3lbPzkyNldX1xNihoHV1xN31xOChoIGghaCJLAXVhaCNdcTkoRz+kPQj08S4rRz/kwjWEnDF5Rz/bKu/tuSuFZWgYfXE6aCZHAAAAAAAAAABzaCdoIWgoXXE7KEc/zWyomCj10UdAGdRjKfCRAkdAGErigI7PX2V1fXE8KGgdXXE9fXE+KGggaCFoIksBdWFoI11xPyhHP6Q9CPTxLitHP8MI1hJwxeZHP7NUQEkbUetlaBh9cUBoJkcAAAAAAAAAAHNoJ2ghaChdcUEoRz/NbKiYKPXRRz/3rzGr8ys0Rz/xSJHOsK3QZXV9cUIoaB1dcUN9cUQoaCBoIWgiSwF1YWgjXXFFKEc/4UPQj08S40c/6z3Ke2POh0c/7ZV39tyVw2VoGH1xRmgmRwAAAAAAAAAAc2gnaCFoKF1xRyhHQAkZ7W3eGR1HQCDysIl1YNBHQCpz9Lpk5RlldX1xSChoHV1xSX1xSihoIGghaCJLAXVhaCNdcUsoRz/deF7hYdo7Rz/kwjWEnDF5Rz/bKu/tuSuFZWgYfXFMaCZHAAAAAAAAAABzaCdoIWgoXXFNKEdABWxYWtj6YkdAGdRjKfCRAkdAGErigI7PX2V1fXFOKGgdXXFPfXFQKGggaCFoIksBdWFoI11xUShHP+68L3Cw7R1HP9Z7lPbHnQ1HP+JqiAkjaj1laBh9cVJoJkcAAAAAAAAAAHNoJ2ghaChdcVMoR0AWV72fmkIQR0AL+ZSn7fbSR0Agd5Wz85MjZXV9cVQoaB1dcVV9cVYoaCBoIWgiSwF1YWgjXXFXKEc/7r2W1EJh+kc/4pF4nfZ1k0c/6K06H+FxymVoGH1xWGgmRwAAAAAAAAAAc2gnaCFoKF1xWShHQBZYwuErJRBHQBcaq4HsSeBHQCYQqh3i6jpldX1xWihoHV1xW31xXChoIGghaCJLAXVhaCNdcV0oRz/dey2ohMP1Rz/a3Q7EExTbRz/NSxeAejjWZWgYfXFeaCZHAAAAAAAAAABzaCdoIWgoXXFfKEdABW5i3frAYUdAELaB+/tCjEdACjFzWWBCY2V1fXFgKGgdXXFhfXFiKGggaCFoIksBdWFoI11xYyhHP+FCaSu9ngZHP7SLxO+zrJVHP+dSxeAejjZlaBh9cWRoJkcAAAAAAAAAAHNoJ2ghaChdcWUoR0AJF+LqvFMdRz/pkKYXxB1QR0Ak2uBQdY4DZXV9cWYoaB1dcWd9cWgoaCBoIWgiSwF1YWgjXXFpKEc/pCaSu9ngXEc/7W6HYgmKbUc/0Vp0P8LjlWVoGH1xamgmRwAAAAAAAAAAc2gnaCFoKF1xayhHP81MAGYMleFHQCJPjF13hGFHQA8Imo8Vs0NldX1xbChoHV1xbX1xbihoIGghaCJLAXVhaCNdcW8oRz+kJpK72eBcRz/a3Q7EExTbRz/NSxeAejjWZWgYfXFwaCZHAAAAAAAAAABzaCdoIWgoXXFxKEc/zUwAZgyV4UdAELaB+/tCjEdACjFzWWBCY2V1fXFyKGgdXXFzfXF0KGggaCFoIksBdWFoI11xdShHP+FCaSu9ngZHP+KReJ32dZNHP+itOh/hccplaBh9cXZoJkcAAAAAAAAAAHNoJ2ghaChdcXcoR0AJF+LqvFMdR0AXGquB7EngR0AmEKod4uo6ZXV9cXgoaB1dcXl9cXooaCBoIWgiSwF1YWgjXXF7KEc/3XstqITD9Uc/7W6HYgmKbUc/0Vp0P8LjlWVoGH1xfGgmRwAAAAAAAAAAc2gnaCFoKF1xfShHQAVuYt36wGFHQCJPjF13hGFHQA8Imo8Vs0NldX1xfihoHV1xf31xgChoIGghaCJLAXVhaCNdcYEoRz/uvZbUQmH6Rz+0i8Tvs6yVRz/nUsXgHo42ZWgYfXGCaCZHAAAAAAAAAABzaCdoIWgoXXGDKEdAFljC4SslEEc/6ZCmF8QdUEdAJNrgUHWOA2V1fXGEKGgdXXGFfXGGKGggaCFoIksBdWFoI11xhyhHP9AAAAAAAABHP8iGDqJaMntHP+2/08AGFO1laBh9cYhoJkcAAAAAAAAAAHNoJ2ghaChdcYkoRz/3QyLkW4m/Rz/+g7BCc/twR0AqmdTl8KeeZXV9cYooaB1dcYt9cYwoaCBoIWgiSwF1YWgjXXGNKEc/6AAAAAAAAEc/6d58V2lzYUc/sgFh/89YmGVoGH1xjmgmRwAAAAAAAAAAc2gnaCFoKF1xjyhHQBFyWitEp09HQCAYILalRshHP/AZkHJSmahldX1xkChoHV1xkX1xkihoIGghaCJLAXVhaCNdcZMoRz/QAAAAAAAARz/mIYOoloyfRz/iQCw/+esTZWgYfXGUaCZHAAAAAAAAAABzaCdoIWgoXXGVKEc/90Mi5FuJv0dAG4mCz5DFEkdAIFG1iGfQn2V1fXGWKGgdXXGXfXGYKGggaCFoIksBdWFoI11xmShHP+gAAAAAAABHP9O8+K7S5sJHP9t/p4AMKdplaBh9cZpoJkcAAAAAAAAAAHNoJ2ghaChdcZsoR0ARclorRKdPR0AIj1VcrY60R0AYlqLXplRpZXV9cZwoaB1dcZ19cZ4oaCBoIWgiSwF1YWgjXXGfKEc/6AAAAAAAAEc/7D9niXwVJEc/5X5WgkK65mVoGH1xoGgmRwAAAAAAAAAAc2gnaCFoKF1xoShHQBFyWitEp09HQCGS9joLa89HQCM4BDYkpHJldX1xoihoHV1xo31xpChoIGghaCJLAXVhaCNdcaUoRz/QAAAAAAAARz++BMO0H1bdRz/VA1L7eoo1ZWgYfXGmaCZHAAAAAAAAAABzaCdoIWgoXXGnKEc/90Mi5FuJv0c/8q0EJ0LTOEdAEsoFfCysxGV1fXGoKGgdXXGpfXGqKGggaCFoIksBdWFoI11xqyhHP+gAAAAAAABHP9h+zxL4KklHP+qBqX29RRplaBh9caxoJkcAAAAAAAAAAHNoJ2ghaChdca0oR0ARclorRKdPR0AOeqtqRiLRR0Ans4Y4M9PLZXV9ca4oaB1dca99cbAoaCBoIWgiSwF1YWgjXXGxKEc/0AAAAAAAAEc/48CYdoPq3Ec/xflaCQrrlmVoGH1xsmgmRwAAAAAAAAAAc2gnaCFoKF1xsyhHP/dDIuRbib9HQBiT18jEewRHQAOmAvAcnB5ldX1xtChoHV1xtX1xtihoIFgBAAAAU3G3aCJLAXVhaCNdcbgoRz/QAAAAAAAARz/J5y2hIvrXRz+gqRU3n6l+ZWgYfXG5aCZHAAAAAAAAAABzaCdYAQAAAFNxumgoXXG7KEc/90Mi5FuJv0dAAB2JKLTYwEc/3ctnf0EZ0mV1fXG8KGgdXXG9fXG+KGggaLdoIksBdWFoI11xvyhHP+gAAAAAAABHP+mGNJe3QUpHP+71bqyGBWhlaBh9ccBoJkcAAAAAAAAAAHNoJ2i6aChdccEoR0ARclorRKdPR0AfwmjpjSAMR0Arrqu4QPIEZXV9ccIoaB1dccN9ccQoaCBot2giSwF1YWgjXXHFKEc/0AAAAAAAAEc/5nnLaEi+tkc/3erdWQwK0GVoGH1xxmgmRwAAAAAAAAAAc2gnaLpoKF1xxyhHP/dDIuRbib9HQBv3W1NOMpZHQBrAUHxG6TZldX1xyChoHV1xyX1xyihoIGi3aCJLAXVhaCNdccsoRz/oAAAAAAAARz/TDGkvboKVRz/hCpFTefqYZWgYfXHMaCZHAAAAAAAAAABzaCdoumgoXXHNKEdAEXJaK0SnT0dAB7OkVTKzrUdAHnm9bC8McGV1fXHOKGgdXXHPfXHQKGggaLdoIksBdWFoI11x0ShHP9AAAAAAAABHP9p6BkDhx4ZHP6UnHCOiG55laBh9cdJoJkcAAAAAAAAAAHNoJ2i6aChdcdMoRz/3QyLkW4m/R0AQeOUd1/tBRz/i6gUaAyVwZXV9cdQoaB1dcdV9cdYoaCBot2giSwF1YWgjXXHXKEc/6AAAAAAAAEc/4sL8348cPUc/7q2OPcXeRmVoGH1x2GgmRwAAAAAAAAAAc2gnaLpoKF1x2ShHQBFyWitEp09HQBdYSGAPkStHQCtuZqKayHxldX1x2ihoHV1x231x3ChoIGi3aCJLAXVhaCNdcd0oRz/QAAAAAAAARz/tPQMgcOPDRz/dWxx7i7yMZWgYfXHeaCZHAAAAAAAAAABzaCdoumgoXXHfKEc/90Mi5FuJv0dAIjC97mXgu0dAGj/GUPqWJWV1fXHgKGgdXXHhfXHiKGggaLdoIksBdWFoI11x4yhHP+gAAAAAAABHP7YX5vx44elHP+FSccI6IbplaBh9ceRoJkcAAAAAAAAAAHNoJ2i6aChdceUoR0ARclorRKdPRz/rfY0I3leqR0Ae+keXe1+BZXV9ceYoaB1dced9cegoaCBot2giSwF1YWgjXXHpKEc/0AAAAAAAAEc/3iFB2ZQweUc/x6XciIGZSGVoGH1x6mgmRwAAAAAAAAAAc2gnaLpoKF1x6yhHP/dDIuRbib9HQBK+viZJGTZHQAUlK90EwxxldX1x7ChoHV1x7X1x7ihoIGi3aCJLAXVhaCNdce8oRz/oAAAAAAAARz/g718TNefDRz/qFojd35muZWgYfXHwaCZHAAAAAAAAAABzaCdoumgoXXHxKEdAEXJaK0SnT0dAFRJvV55zNUdAJ1O7/PnKDGV1fXHyKGgdXXHzfXH0KGggaLdoIksBdWFoI11x9ShHP9AAAAAAAABHP+8QoOzKGD1HP9QtEbu/M1xlaBh9cfZoJkcAAAAAAAAAAHNoJ2i6aChdcfcoRz/3QyLkW4m/R0AjU6pynm+3R0ASCnEFuJlFZXV9cfgoaB1dcfl9cfooaCBot2giSwF1YWgjXXH7KEc/6AAAAAAAAEc/neviZrz4bkc/5el3IiBmUmVoGH1x/GgmRwAAAAAAAAAAc2gnaLpoKF1x/ShHQBFyWitEp09HP9KdiYqqz/dHQCOXznFerjBldX1x/ihoHV1x/31yAAEAAChoIFgBAAAAS3IBAQAAaCJLAXVhaCNdcgIBAAAoRz/QAAAAAAAARz/UUAYHgP3BRz/nh21HKze8ZWgYfXIDAQAAaCZHAAAAAAAAAABzaCdqAQEAAGgoXXIEAQAAKEc/90Mi5FuJv0dACUZO4PpEpUdAJQn1K2N5SGV1fXIFAQAAKGgdXXIGAQAAfXIHAQAAKGggagEBAABoIksBdWFoI11yCAEAAChHP+gAAAAAAABHP+XX/Pw/gR9HP9DxJXGpkIhlaBh9cgkBAABoJkcAAAAAAAAAAHNoJ2oBAQAAaChdcgoBAAAoR0ARclorRKdPR0AbLgYNamoZR0AOTEcjXgYsZXV9cgsBAAAoaB1dcgwBAAB9cg0BAAAoaCBqAQEAAGgiSwF1YWgjXXIOAQAAKEc/0AAAAAAAAEc/6igDA8B+4Uc/6HiSuNTIRGVoGH1yDwEAAGgmRwAAAAAAAAAAc2gnagEBAABoKF1yEAEAAChHP/dDIuRbib9HQCBF3xe4dEVHQCXhlUL0/vVldX1yEQEAAChoHV1yEgEAAH1yEwEAAChoIGoBAQAAaCJLAXVhaCNdchQBAAAoRz/oAAAAAAAARz/HX/Pw/gR9Rz/OHbUcrN7xZWgYfXIVAQAAaCZHAAAAAAAAAABzaCdqAQEAAGgoXXIWAQAAKEdAEXJaK0SnT0c//RW9OdqPjEdACu3GxRfve2V1fXIXAQAAKGgdXXIYAQAAfXIZAQAAKGggagEBAABoIksBdWFoI11yGgEAAChHP9AAAAAAAABHP9ddw6qPNT1HP9pKhD1m6MJlaBh9chsBAABoJkcAAAAAAAAAAHNoJ2oBAQAAaChdchwBAAAoRz/3QyLkW4m/R0ANEwQVmv/HR0AXgjcFKL2KZXV9ch0BAAAoaB1dch4BAAB9ch8BAAAoaCBqAQEAAGgiSwF1YWgjXXIgAQAAKEc/6AAAAAAAAEc/5FEeKrhlYkc/4tq94UyLn2VoGH1yIQEAAGgmRwAAAAAAAAAAc2gnagEBAABoKF1yIgEAAChHQBFyWitEp09HQBlHq3MaDIlHQCDb63GmnA5ldX1yIwEAAChoHV1yJAEAAH1yJQEAAChoIGoBAQAAaCJLAXVhaCNdciYBAAAoRz/QAAAAAAAARz/rruHVR5qeRz+21e8KZFz3ZWgYfXInAQAAaCZHAAAAAAAAAABzaCdqAQEAAGgoXXIoAQAAKEc/90Mi5FuJv0dAITkMZOCjDEc/9Gs/vEj1IWV1fXIpAQAAKGgdXXIqAQAAfXIrAQAAKGggagEBAABoIksBdWFoI11yLAEAAChHP+gAAAAAAABHP8FEeKrhlYdHP+0lQh6zdGFlaBh9ci0BAABoJkcAAAAAAAAAAHNoJ2oBAQAAaChdci4BAAAoR0ARclorRKdPRz/1fFLQmRlLR0AqD578sdwvZXVldVgGAAAAdGFyZ2V0ci8BAABHQAxQsPJ7sv91LlBLBwhhsQX6XBYAAFwWAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABoAHABtYi1tcC1nYXAtMDUwODI0L2J5dGVvcmRlckZCGABaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpsaXR0bGVQSwcIhT3jGQYAAAAGAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAYADQAbWItbXAtZ2FwLTA1MDgyNC92ZXJzaW9uRkIwAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjMKUEsHCNGeZ1UCAAAAAgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAJwApAG1iLW1wLWdhcC0wNTA4MjQvLmRhdGEvc2VyaWFsaXphdGlvbl9pZEZCJQBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMDYzNjQ1NzczNzk0NjQwMTA1MTMwMDAwMDAyODE4MDQ1NzE2NzcyN1BLBwgd0p2tKAAAACgAAABQSwECAAAAAAgIAAAAAAAAYbEF+lwWAABcFgAAGQAAAAAAAAAAAAAAAAAAAAAAbWItbXAtZ2FwLTA1MDgyNC9kYXRhLnBrbFBLAQIAAAAACAgAAAAAAACFPeMZBgAAAAYAAAAaAAAAAAAAAAAAAAAAAKwWAABtYi1tcC1nYXAtMDUwODI0L2J5dGVvcmRlclBLAQIAAAAACAgAAAAAAADRnmdVAgAAAAIAAAAYAAAAAAAAAAAAAAAAABYXAABtYi1tcC1nYXAtMDUwODI0L3ZlcnNpb25QSwECAAAAAAgIAAAAAAAAHdKdrSgAAAAoAAAAJwAAAAAAAAAAAAAAAACSFwAAbWItbXAtZ2FwLTA1MDgyNC8uZGF0YS9zZXJpYWxpemF0aW9uX2lkUEsGBiwAAAAAAAAAHgMtAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAACoBAAAAAAAAOBgAAAAAAABQSwYHAAAAAGIZAAAAAAAAAQAAAFBLBQYAAAAABAAEACoBAAA4GAAAAAA=" | ./matbench_mp_gap/mb-mp-gap-050824 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA4NjYzMC9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQAzpzz1qbrRHP4Sy9+R9mIdHQBksgpDpccllXXENKEc/+vsS0JIpOEdACZLHD3OQcEdAGSyCkOlxyWVdcQ4oRz+RG1E/N85ORz+EsvfkfZiHR0AdB4/bf8MEZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAHQeWvgR/o1gBAAAAYnESR0AdB5a9+LUKWAEAAABjcRNHQB0Hlr4gNOhYBQAAAGFscGhhcRRHQD28U19EiOhYBAAAAGJldGFxFUdAPbxTX5C3U1gFAAAAZ2FtbWFxFkdAPbxTXy3XAlgGAAAAdm9sdW1lcRdHQFTQ+tLkGrx1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAEAAABOcSFYBAAAAG9jY3VxIksBdWFYAwAAAGFiY3EjXXEkKEc/4AAAAAAAAEc/4AAAAAAAAEc/4AAAAAAAAGVoGH1xJVgGAAAAbWFnbW9tcSZHAAAAAAAAAABzWAUAAABsYWJlbHEnaCFYAwAAAHh5enEoXXEpKEdABUTHpBj5dkc/+bws/zyLokdAI9glP1SppmV1fXEqKGgdXXErfXEsKGggWAIAAABDYXEtaCJLAXVhaCNdcS4oRz/M2q/52EisRz/M2q/52EisRz/M2q/52EisZWgYfXEvaCZHAAAAAAAAAABzaCdYAgAAAENhcTBoKF1xMShHP/MtiDXWf9lHP+c0htfkCTxHQBHkvjYlOW1ldX1xMihoHV1xM31xNChoIGgtaCJLAXVhaCNdcTUoRz/oyVQBie3VRz/oyVQBie3VRz/oyVQBie3VZWgYfXE2aCZHAAAAAAAAAABzaCdYAgAAAENhcTdoKF1xOChHQBB5ZZajWYBHQAPvC0lDiVNHQC6962OWtpRldX1xOShoHV1xOn1xOyhoIFgCAAAAQnJxPGgiSwF1YWgjXXE9KEcAAAAAAAAAAEcAAAAAAAAAAEcAAAAAAAAAAGVoGH1xPmgmRwAAAAAAAAAAc2gnWAIAAABCcnE/aChdcUAoRwAAAAAAAAAARwAAAAAAAAAARwAAAAAAAAAAZXVldVgGAAAAdGFyZ2V0cUFHQANoCdSVGCp1LlBLBwg+wQmtCAQAAAgEAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABoAMABtYi1tcC1nYXAtMDg2NjMwL2J5dGVvcmRlckZCLABaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWmxpdHRsZVBLBwiFPeMZBgAAAAYAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABgANABtYi1tcC1nYXAtMDg2NjMwL3ZlcnNpb25GQjAAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMwpQSwcI0Z5nVQIAAAACAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAnACkAbWItbXAtZ2FwLTA4NjYzMC8uZGF0YS9zZXJpYWxpemF0aW9uX2lkRkIlAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlowNjM2NDU3NzM3OTQ2NDAxMDUxMzAwMDAwMDIzMDAwMTc5MjMyOTEzUEsHCMdOy2woAAAAKAAAAFBLAQIAAAAACAgAAAAAAAA+wQmtCAQAAAgEAAAZAAAAAAAAAAAAAAAAAAAAAABtYi1tcC1nYXAtMDg2NjMwL2RhdGEucGtsUEsBAgAAAAAICAAAAAAAAIU94xkGAAAABgAAABoAAAAAAAAAAAAAAAAAWAQAAG1iLW1wLWdhcC0wODY2MzAvYnl0ZW9yZGVyUEsBAgAAAAAICAAAAAAAANGeZ1UCAAAAAgAAABgAAAAAAAAAAAAAAAAA1gQAAG1iLW1wLWdhcC0wODY2MzAvdmVyc2lvblBLAQIAAAAACAgAAAAAAADHTstsKAAAACgAAAAnAAAAAAAAAAAAAAAAAFIFAABtYi1tcC1nYXAtMDg2NjMwLy5kYXRhL3NlcmlhbGl6YXRpb25faWRQSwYGLAAAAAAAAAAeAy0AAAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAKgEAAAAAAAD4BQAAAAAAAFBLBgcAAAAAIgcAAAAAAAABAAAAUEsFBgAAAAAEAAQAKgEAAPgFAAAAAA==" | ./matbench_mp_gap/mb-mp-gap-086630 | /tmp/hf-datasets-cache/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-004256 | /tmp/hf-datasets-cache/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-086604 | /tmp/hf-datasets-cache/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-045686 | /tmp/hf-datasets-cache/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-020382 | /tmp/hf-datasets-cache/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-104001 | /tmp/hf-datasets-cache/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-083403 | /tmp/hf-datasets-cache/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-078368 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTAyOTU5NS9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHv/u0jcEeQuFHwAf+VFE7BhBHgAAAAAAAAABlXXENKEe/+7SNwR5C4UdAB/5UUTsGEEcAAAAAAAAAAGVdcQ4oR4AAAAAAAAAARwAAAAAAAAAAR8A83wRYKWHOZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAC7SNPDbr1FgBAAAAYnESR0ALtI08NuvUWAEAAABjcRNHQDzfBFgpYc5YBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAXf//sKhK7FgGAAAAdm9sdW1lcRdHQHK9/3GuWtZ1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABMdXEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP+VVVghKUV1HP9VVU+9rXUZHP+s/tRGaMURlaBh9cSVYBgAAAG1hZ21vbXEmRz+i8an752yLc1gFAAAAbGFiZWxxJ1gCAAAATHVxKFgDAAAAeHl6cSldcSooR7/7tI3BHkLgR7/v/cnzFzIQR8A4laYYQqavZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/1VVT72tdRkc/5VVWCEpRXUc/wwEruZc68GVoGH1xL2gmRz+i8an752yLc2gnWAIAAABMdXEwaCldcTEoR7/7tI3BHkLgRz/v/cnzFzIQR8ARJXj/mux8ZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/1VVT72tdRkc/5VVWCEpRXUc/1n9qIzRiiGVoGH1xNmgmRz+i8an752yLc2gnWAIAAABMdXE3aCldcTgoR7/7tI3BHkLgRz/v/cnzFzIQR8AkTEfYW+uQZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/5VVWCEpRXUc/1VVT72tdRkc/5MBK7mXOvGVoGH1xPWgmRz+i8an752yLc2gnWAIAAABMdXE+aCldcT8oR7/7tI3BHkLgR7/v/cnzFzIQR8AyuOBr+2wGZXV9cUAoaB1dcUF9cUIoaCBYAgAAAEZlcUNoIksBdWFoI11xRChHP+VVVghKUV1HP9VVU+9rXUZHP91G6qrZMgtlaBh9cUVoJkdAEK0OVgQYk3NoJ1gCAAAARmVxRmgpXXFHKEe/+7SNwR5C4Ee/7/3J8xcyEEfAKmoXglrcZ2V1fXFIKGgdXXFJfXFKKGggaENoIksBdWFoI11xSyhHP9VVU+9rXUZHP+VVVghKUV1HP+FciqqTZvtlaBh9cUxoJkdAEK0OVgQYk3NoJ1gCAAAARmVxTWgpXXFOKEe/+7SNwR5C4Ec/7/3J8xcyEEfAL1PxLffnNWV1fXFPKGgdXXFQfXFRKGggaENoIksBdWFoI11xUihHP9VVU+9rXUZHP+VVVghKUV1HP+6jdVVsmQVlaBh9cVNoJkdAEK0OVgQYk3NoJ1gCAAAARmVxVGgpXXFVKEe/+7SNwR5C4Ec/7/3J8xcyEEfAO6SN7UIfGmV1fXFWKGgdXXFXfXFYKGggaENoIksBdWFoI11xWShHP+VVVghKUV1HP9VVU+9rXUZHP6XIqqk2b6llaBh9cVpoJkdAEK0OVgQYk3NoJ1gCAAAARmVxW2gpXXFcKEe/+7SNwR5C4Ee/7/3J8xcyEEe/86dmrnQrNWV1fXFdKGgdXXFefXFfKGggaENoIksBdWFoI11xYChHAAAAAAAAAABHgAAAAAAAAABHP+gAAAAAAABlaBh9cWFoJkdAEQgxJul41XNoJ1gCAAAARmVxYmgpXXFjKEcAAAAAAAAAAEcAAAAAAAAAAEfANadDQh8JWmV1fXFkKGgdXXFlfXFmKGggaENoIksBdWFoI11xZyhHgAAAAAAAAABHAAAAAAAAAABHP9AAAAAAAABlaBh9cWhoJkdAEQcrAgxJunNoJ1gCAAAARmVxaWgpXXFqKEcAAAAAAAAAAEcAAAAAAAAAAEfAHN8EWClhzmV1fXFrKGgdXXFsfXFtKGggWAEAAABPcW5oIksBdWFoI11xbyhHAAAAAAAAAABHAAAAAAAAAABHP+o5tW3ggzhlaBh9cXBoJkc/svGp++dsi3NoJ2huaCldcXEoRwAAAAAAAAAARwAAAAAAAAAAR8A3qUR38XImZXV9cXIoaB1dcXN9cXQoaCBobmgiSwF1YWgjXXF1KEeAAAAAAAAAAEeAAAAAAAAAAEc/xxkqSH3zIGVoGH1xdmgmRz+y8an752yLc2gnaG5oKV1xdyhHAAAAAAAAAABHAAAAAAAAAABHwBTW/4DfvqFldX1xeChoHV1xeX1xeihoIGhuaCJLAXVhaCNdcXsoRwAAAAAAAAAARwAAAAAAAAAARz/Uc2rbwQZwZWgYfXF8aCZHP7LxqfvnbItzaCdobmgpXXF9KEcAAAAAAAAAAEcAAAAAAAAAAEfAInOEl7mCfmV1fXF+KGgdXXF/fXGAKGggaG5oIksBdWFoI11xgShHgAAAAAAAAABHgAAAAAAAAABHP+XGSpIffMhlaBh9cYJoJkc/svGp++dsi3NoJ2huaCldcYMoRwAAAAAAAAAARwAAAAAAAAAAR8AzpUIMTKCPZXV9cYQoaB1dcYV9cYYoaCBobmgiSwF1YWgjXXGHKEc/5VVWCEpRXUc/1VVT72tdRkc/7vBqED8SZWVoGH1xiGgmRz/QxJul41P4c2gnaG5oKV1xiShHv/u0jcEeQuBHv+/9yfMXMhBHwDvp/GSiz+1ldX1xiihoHV1xi31xjChoIGhuaCJLAXVhaCNdcY0oRz/VVVPva11GRz/lVVYISlFdRz+g+V78Dtm4ZWgYfXGOaCZHP9DEm6XjU/hzaCdobmgpXXGPKEe/+7SNwR5C4Ec/7/3J8xcyEEe/7qD+cNI8MGV1fXGQKGgdXXGRfXGSKGggaG5oIksBdWFoI11xkyhHP9VVU+9rXUZHP+VVVghKUV1HP93g1CB+JMllaBh9cZRoJkc/0MSbpeNT+HNoJ2huaCldcZUoR7/7tI3BHkLgRz/v/cnzFzIQR8Aq9PRxHD4LZXV9cZYoaB1dcZd9cZgoaCBobmgiSwF1YWgjXXGZKEc/5VVWCEpRXUc/1VVT72tdRkc/4Q+V78Dtm2VoGH1xmmgmRz/QxJul41P4c2gnaG5oKV1xmyhHv/u0jcEeQuBHv+/9yfMXMhBHwC7JFD82hZBldX1xnChoHV1xnX1xnihoIGhuaCJLAXVhaCNdcZ8oRz/lVVYISlFdRz/VVVPva11GRz/Y8KlrHdsyZWgYfXGgaCZHP7dLxqfvnbJzaCdobmgpXXGhKEe/+7SNwR5C4Ee/7/3J8xcyEEfAJoBkvSfXuWV1fXGiKGgdXXGjfXGkKGggaG5oIksBdWFoI11xpShHP9VVU+9rXUZHP+VVVghKUV1HP+OHq0pxEmdlaBh9caZoJkc/t0vGp++dsnNoJ2huaCldcacoR7/7tI3BHkLgRz/v/cnzFzIQR8AxntH5lXXyZXV9cagoaB1dcal9caooaCBobmgiSwF1YWgjXXGrKEc/1VVT72tdRkc/5VVWCEpRXUc/7HhUtY7tmWVoGH1xrGgmRz+3S8an752yc2gnaG5oKV1xrShHv/u0jcEeQuBHP+/9yfMXMhBHwDmvtIqonMNldX1xrihoHV1xr31xsChoIGhuaCJLAXVhaCNdcbEoRz/lVVYISlFdRz/VVVPva11GRz+8PVpTiJM3ZWgYfXGyaCZHP7dLxqfvnbJzaCdobmgpXXGzKEe/+7SNwR5C4Ee/7/3J8xcyEEfACXp+bAYoVGV1fXG0KGgdXXG1fXG2KGggaG5oIksBdWFoI11xtyhHP+VVVghKUV1HP9VVU+9rXUZHP+gAAAAAAABlaBh9cbhoJkc/0MSbpeNT+HNoJ2huaCldcbkoR7/7tI3BHkLgR7/v/cnzFzIQR8A1p0NCHwlaZXV9cbooaB1dcbt9cbwoaCBobmgiSwF1YWgjXXG9KEc/1VVT72tdRkc/5VVWCEpRXUc/0AAAAAAAAGVoGH1xvmgmRz/QxJul41P4c2gnaG5oKV1xvyhHv/u0jcEeQuBHP+/9yfMXMhBHwBzfBFgpYc5ldWV1WAYAAAB0YXJnZXRxwEcAAAAAAAAAAHUuUEsHCLe7ZmUNDQAADQ0AAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgArAG1iLW1wLWdhcC0wMjk1OTUvYnl0ZW9yZGVyRkInAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWmxpdHRsZVBLBwiFPeMZBgAAAAYAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABgANABtYi1tcC1nYXAtMDI5NTk1L3ZlcnNpb25GQjAAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMwpQSwcI0Z5nVQIAAAACAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAnACkAbWItbXAtZ2FwLTAyOTU5NS8uZGF0YS9zZXJpYWxpemF0aW9uX2lkRkIlAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlowNjM2NDU3NzM3OTQ2NDAxMDUxMzAwMDAwMDE3NjMxMTczNzY2NTEwUEsHCFHXImooAAAAKAAAAFBLAQIAAAAACAgAAAAAAAC3u2ZlDQ0AAA0NAAAZAAAAAAAAAAAAAAAAAAAAAABtYi1tcC1nYXAtMDI5NTk1L2RhdGEucGtsUEsBAgAAAAAICAAAAAAAAIU94xkGAAAABgAAABoAAAAAAAAAAAAAAAAAXQ0AAG1iLW1wLWdhcC0wMjk1OTUvYnl0ZW9yZGVyUEsBAgAAAAAICAAAAAAAANGeZ1UCAAAAAgAAABgAAAAAAAAAAAAAAAAA1g0AAG1iLW1wLWdhcC0wMjk1OTUvdmVyc2lvblBLAQIAAAAACAgAAAAAAABR1yJqKAAAACgAAAAnAAAAAAAAAAAAAAAAAFIOAABtYi1tcC1nYXAtMDI5NTk1Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRQSwYGLAAAAAAAAAAeAy0AAAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAKgEAAAAAAAD4DgAAAAAAAFBLBgcAAAAAIhAAAAAAAAABAAAAUEsFBgAAAAAEAAQAKgEAAPgOAAAAAA==" | ./matbench_mp_gap/mb-mp-gap-029595 | /tmp/hf-datasets-cache/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-026886 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA2OTA2NS9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQCN31fYWRz9HAAAAAAAAAABHP3fNyffbQ11lXXENKEcAAAAAAAAAAEdAIHShA/EmSEcAAAAAAAAAAGVdcQ4oR8ACI18SihtMRwAAAAAAAAAAR0Aamwhfn/iuZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAI3fWMEwoalgBAAAAYnESR0AgdKED8SZIWAEAAABjcRNHQBwb2/rJiJ1YBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAWzJ31ODZLlgFAAAAZ2FtbWFxFkdAVoAAAAAAAFgGAAAAdm9sdW1lcRdHQICmigaRskN1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABMaXEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP7amdEh8RaFHP+udxCCrxxlHP+WocT2v495laBh9cSVYBgAAAG1hZ21vbXEmRz9QYk3S8an8c1gFAAAAbGFiZWxxJ1gCAAAATGlxKFgDAAAAeHl6cSldcSooR7/li3IhcceSR0AcZxHY6/xwR0ASAlBb3WoaZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/2lZi7eDumEc/1zuIQVeOMUc/1K8dhKA4RGVoGH1xL2gmRz9QYk3S8an8c2gnWAIAAABMaXEwaCldcTEoR0AKLylh/uUXR0AH5OGp9axPR0ABN2N6AxP5ZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/4tMcJv0Z8kc/65xGrTiH3Ec/5aS3yrIVZmVoGH1xNmgmRz9QYk3S8an8c2gnWAIAAABMaXE3aCldcTgoR0AQxWVfUo7aR0AcZYmI9QH2R0ASAjELp7StZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/7Szj2QLmDkc/1ziNWnEPuEc/1LaQapvVM2VoGH1xPWgmRz9QYk3S8an8c2gnWAIAAABMaXE+aCldcT8oR0AgSDZ81ZyfR0AH4dEKB7ddR0ABQ4j/amx0ZXV9cUAoaB1dcUF9cUIoaCBYAQAAAFZxQ2giSwF1YWgjXXFEKEc/u6ndtHudL0c/3/ckxNtmxEc/51Za+yNMYGVoGH1xRWgmRz/+bpeNT987c2gnaENoKV1xRihHv+NAk0SU8FRHQBBwEx8YXCNHQBNn3vACIm5ldX1xRyhoHV1xSH1xSShoIGhDaCJLAXVhaCNdcUooRz/ZFYiS4Ri0Rz/v+5R7TKd4Rz/RU0oJuWc/ZWgYfXFLaCZHP/5ul41P3ztzaCdoQ2gpXXFMKEdACZxxqsevRkdAIHJbJZjw2Uc//NiMo3NGomV1fXFNKGgdXXFOfXFPKGggWAIAAABDcnFQaCJLAXVhaCNdcVEoRz/jb3vecryLRz/gAavx4NhyRz/nRfC6krh/ZWgYfXFSaCZHQAedsi0OVgRzaCdYAgAAAENycVNoKV1xVChHQBENa6HOUWVHQBB2WSU+ODFHQBNdMbwgJBVldX1xVShoHV1xVn1xVyhoIGhQaCJLAXVhaCNdcVgoRz/skIQhjUN1Rz8qvx4NhycmRz/RdB6K2o8CZWgYfXFZaCZHQAebpeNT989zaCdYAgAAAENycVpoKV1xWyhHQCAkM1uXu1lHP1uCFNEel3dHP/0bDzzzG0lldX1xXChoHV1xXX1xXihoIFgBAAAAUHFfaCJLAXVhaCNdcWAoRz/JjU1Fgxb2Rz/HA2/hj1GXRz/gsRrKW65SZWgYfXFhaCZHP3iTdLxqfvpzaCdoX2gpXXFiKEc/6FYPTFp+4Ec/96swZPPuKEdAC8PoNO35a2V1fXFjKGgdXXFkfXFlKGggaF9oIksBdWFoI11xZihHP7roxE8k1k5HP+kbuirepehHP7YlbCA5sVJlaBh9cWdoJkc/gGJN0vGp/HNoJ2hfaCldcWgoRz/qdzBkdVZkR0AZ0r/dxmQaRz/ibrP/+g2GZXV9cWkoaB1dcWp9cWsoaCBoX2giSwF1YWgjXXFsKEc/2UXO7DbKbEc/0jd0Vb1L0Ec/7TtSe/jJ1mVoGH1xbWgmRz98rAgxJul5c2gnaF9oKV1xbihHP/xdAYEKOzBHQAK8PbOqe6RHQBhQK5jfsmZldX1xbyhoHV1xcH1xcShoIGhfaCJLAXVhaCNdcXIoRz/TOVldPnSFRz/lwNv4Y9RmRz/encprSKNdZWgYfXFzaCZHP3iTdLxqfvpzaCdoX2gpXXF0KEc//W2SDRem9EdAFl9tHS4h0kdACXgb/M/uw2V1fXF1KGgdXXF2fXF3KGggaF9oIksBdWFoI11xeChHP+Zp9HWIQllHP8cdBHKrbi1HP+C6wxobih9laBh9cXloJkc/eJN0vGp++nNoJ2hfaCldcXooR0AWh+w04lOLRz/3xX9smVgeR0AL2e0z0DmUZXV9cXsoaB1dcXx9cX0oaCBoX2giSwF1YWgjXXF+KEc/42yJhfssMUc/6Q97aFYqr0c/tbYSzAqFFGVoGH1xf2gmRz94k3S8an76c2gnaF9oKV1xgChHQBbdd6oORjRHQBnGJ9kBAZNHP+IqBLi9pltldX1xgShoHV1xgn1xgyhoIGhfaCJLAXVhaCNdcYQoRz/sk3Z6BNPPRz/SHvbQrFVeRz/tST2mfq9dZWgYfXGFaCZHP3iTdLxqfvpzaCdoX2gpXXGGKEdAGnharu+B5EdAAqMNqh+2l0dAGF609EU2G2V1fXGHKGgdXXGIfXGJKGggaF9oIksBdWFoI11xiihHP+mWC4p3vadHP+XHQRyq24tHP96KecvI68JlaBh9cYtoJkc/eJN0vGp++nNoJ2hfaCldcYwoR0AazeYkG3SMR0AWZgDfF3xPR0AJbf3i6Zw6ZXV9cY0oaB1dcY59cY8oaCBYAQAAAE9xkGgiSwF1YWgjXXGRKEc/mhtb0QwhoUc/1KBFDyi840c/609X9zfaYmVoGH1xkmgmR7+EeuFHrhR7c2gnaJBoKV1xkyhHv/r9Ihku2cdHQAU2npWieSNHQBa07ceA+mtldX1xlChoHV1xlX1xlihoIGiQaCJLAXVhaCNdcZcoRz+woa0Oa32nRz/mTSnZwypiRz/sUvYm40OyZWgYfXGYaCZHAAAAAAAAAABzaCdokGgpXXGZKEe/9f2rg3BEHUdAFu+5tyGoDEdAF40EOo8rdWV1fXGaKGgdXXGbfXGcKGggaJBoIksBdWFoI11xnShHP7fkvjAm5EVHP6K2XfV+nL5HP97VYQV+bxxlaBh9cZ5oJke/gm6XjU/fO3NoJ2iQaCldcZ8oR7/HhoHy+Ie4Rz/TPsRuYCJDR0AJo9zU82G2ZXV9caAoaB1dcaF9caIoaCBokGgiSwF1YWgjXXGjKEc/v4QzgODmCUc/1gTYQXUVVkc/4CNhI1t5zmVoGH1xpGgmRz9QYk3S8an8c2gnaJBoKV1xpShHP6whS6s314BHQAalWPd8fw9HQArXVCPMuidldX1xpihoHV1xp31xqChoIGiQaCJLAXVhaCNdcakoRz/JaAyuuhI1Rz/ltE68JbWcRz/jYyzbKl2iZWgYfXGqaCZHv4Jul41P3ztzaCdokGgpXXGrKEc/4d7UI3hBEkdAFlKEYqr6z0dAEB+wSNMjjmV1fXGsKGgdXXGtfXGuKGggaJBoIksBdWFoI11xryhHP9NOjQDZ76BHP9vWLcmR2d1HP+1aLJbh2U5laBh9cbBoJke/fKwIMSbpeXNoJ2iQaCldcbEoRz/ratu4G/oIR0AMoRa3j6zWR0AYaUREoUgQZXV9cbIoaB1dcbN9cbQoaCBokGgiSwF1YWgjXXG1KEc/0wXW7w+Xzkc/w4Ij3Cg0fUc/6BopANU9CWVoGH1xtmgmRz9QYk3S8an8c2gnaJBoKV1xtyhHP/L4G4epkzdHP/QQV7J7nPBHQBQLyybYSjVldX1xuChoHV1xuX1xuihoIGiQaCJLAXVhaCNdcbsoRz/J9FIh4NBlRz/k4Ij3Cg0fRz/Pl1v8qwvdZWgYfXG8aCZHP1BiTdLxqfxzaCdokGgpXXG9KEc/9qB+K5tTLkdAFXi28JANhEc/+kjbyBqnhWV1fXG+KGgdXXG/fXHAKGggaJBoIksBdWFoI11xwShHP8li5f5MIMBHP+3rFuTI7O5HP7Uum0jxNY1laBh9ccJoJke/fKwIMSbpeXNoJ2iQaCldccMoRz/74yvXNulgR0AexSxfuPyyRz/hpe6h7WAuZXV9ccQoaB1dccV9ccYoaCBokGgiSwF1YWgjXXHHKEc/00v5qKL25Uc/xtE68JbWcUc/2TmmSatEvWVoGH1xyGgmR7+CbpeNT987c2gnaJBoKV1xyShHQABUl9DEYuxHP/d3jXrnUh5HQAT8o6AXoRBldX1xyihoHV1xy31xzChoIGiQaCJLAXVhaCNdcc0oRz/YHvMfx8Z+Rz/rAmwguoqrRz/fuT25SQxjZWgYfXHOaCZHP1BiTdLxqfxzaCdokGgpXXHPKEdABFvHqvWT1UdAG8dNf69l0EdACmSwDfEuBmV1fXHQKGgdXXHRfXHSKGggaJBoIksBdWFoI11x0yhHP9oG0HP2Ru9HP+ErZd9X6cxHP+CVT31AyHJlaBh9cdRoJke/gm6XjU/fO3NoJ2iQaCldcdUoR0AGRLT40fuuR0ARqI1K1yhsR0ALmCdcyoZ3ZXV9cdYoaB1dcdd9cdgoaCBokGgiSwF1YWgjXXHZKEc/4N2OoRgTHEc/1L9A/cweJkc/60brdtv/cGVoGH1x2mgmR7+AYk3S8an8c2gnaJBoKV1x2yhHQAmUyms4ZzpHQAVWfF6Wrm1HQBaw6OVsMP5ldX1x3ChoHV1x3X1x3ihoIGiQaCJLAXVhaCNdcd8oRz/iGtQMBkiZRz/mL9eDtQDTRz/sREX1V7BrZWgYfXHgaCZHv4BiTdLxqfxzaCdokGgpXXHhKEdADAlE5GUsGkdAFtGRpQ/cg0dAF4PI3WAQKWV1fXHiKGgdXXHjfXHkKGggaJBoIksBdWFoI11x5ShHP9vXlLxlIJZHP8k0p2cMqYdHP71oTsjl4nJlaBh9ceZoJkcAAAAAAAAAAHNoJ2iQaCldcecoR0APyyKbWpU/Rz/57GLMwgcPRz/oh+7yfkUMZXV9cegoaB1dcel9ceooaCBokGgiSwF1YWgjXXHrKEc/3l5KQu895kc/6lAih5RecUc/wsKgIyCWeGVoGH1x7GgmR7+EeuFHrhR7c2gnaJBoKV1x7ShHQBElbvMc8AtHQBsP8E7CYtlHP+9IoorvzVpldX1x7ihoHV1x731x8ChoIGiQaCJLAXVhaCNdcfEoRz/i+XdVIRmrRz+jnEt6p7vxRz/e2C0oLEQBZWgYfXHyaCZHv4BiTdLxqfxzaCdokGgpXXHzKEdAErduepKgt0c/1Cs9921df0dACawih2uavWV1fXH0KGgdXXH1fXH2KGggaJBoIksBdWFoI11x9yhHP+P60DWM/61HP9YlGNO2dfNHP+BNZcQqEPZlaBh9cfhoJke/jrhR64UeuHNoJ2iQaCldcfkoR0ATsLSv9nbSR0AGxoSic+uQR0ALIyoSBWB1ZXV9cfooaB1dcft9cfwoaCBokGgiSwF1YWgjXXH9KEc/5mGkqu+tTEc/5cBBIzXlFEc/42UURrPuhWVoGH1x/mgmR7+Ik3S8an76c2gnaJBoKV1x/yhHQBW8b0Uu305HQBZezd9gfjVHQBAkQK4r4FhldX1yAAEAAChoHV1yAQEAAH1yAgEAAChoIGiQaCJLAXVhaCNdcgMBAAAoRz/pn4L9H/vJRz/bwH1o4WrqRz/tXRTToagxZWgYfXIEAQAAaCZHv3R64UeuFHtzaCdokGgpXXIFAQAAKEdAFtrsLtLlCkdADIrIPd4Z2EdAGG6nU0gjpWV1fXIGAQAAKGgdXXIHAQAAfXIIAQAAKGggaJBoIksBdWFoI11yCQEAAChHP+mCq/cUSQ1HP8NfrOPORh9HP+ghJBdhcIhlaBh9cgoBAABoJkc/UGJN0vGp/HNoJ2iQaCldcgsBAAAoR0AYM5UZ1HiMRz/z7OWAw4HIR0AUFJKootvVZXV9cgwBAAAoaB1dcg0BAAB9cg4BAAAoaCBokGgiSwF1YWgjXXIPAQAAKEc/5n1UCOu280c/5NfrOPORiEc/z3tvono932VoGH1yEAEAAGgmRz9QYk3S8an8c2gnaJBoKV1yEQEAAChHQBkiPT8pT4pHQBVv2mQiBrpHP/o9i4roPEdldX1yEgEAAChoHV1yEwEAAH1yFAEAAChoIGiQaCJLAXVhaCNdchUBAAAoRz/mYH0C4AQ3Rz/t4D60cLV1Rz+1F1li8r55ZWgYfXIWAQAAaCZHv3R64UeuFHtzaCdokGgpXXIXAQAAKEdAGnrmKirjDUdAHroFIuAzNEc/4apxwKY6FGV1fXIYAQAAKGgdXXIZAQAAfXIaAQAAKGggaJBoIksBdWFoI11yGwEAAChHP+meW1UQUrRHP8cBBIzXlFFHP9k113KYIvdlaBh9chwBAABoJke/iJN0vGp++nNoJ2iQaCldch0BAAAoR0AbmWMTzujJRz/3qLNtvV+2R0AE/2m6YhUfZXV9ch4BAAAoaB1dch8BAAB9ciABAAAoaCBokGgiSwF1YWgjXXIhAQAAKEc/7AUvynMAU0c/6xKMads6+kc/32U0d6veFWVoGH1yIgEAAGgmR7+OuFHrhR64c2gnaJBoKV1yIwEAAChHQB2lHakHUUZHQBvX41UrHBBHQAokwQS0dVtldX1yJAEAAChoHV1yJQEAAH1yJgEAAChoIGiQaCJLAXVhaCNdcicBAAAoRz/tBoiq3uZVRz/hOcS3qnu/Rz/gk+lr6d4AZWgYfXIoAQAAaCZHv3ysCDEm6XlzaCdokGgpXXIpAQAAKEdAHp5j3msnYEdAEbdU42f8IEdAC5vIj047E2V1fXIqAQAAKGgdXXIrAQAAfXIsAQAAKGggaJBoIksBdWFoI11yLQEAAChHP+3lK/P5t2dHP8i/Xg7UA01HP73d0FVCfKdlaBh9ci4BAABoJke/gGJN0vGp/HNoJ2iQaCldci8BAAAoR0AhqJfzZZkERz/5c8KEetjsRz/pAWVv5tXzZXV9cjABAAAoaB1dcjEBAAB9cjIBAAAoaCBokGgiSwF1YWgjXXIzAQAAKEc/7yJxXufs5Ec/6l+gfuYPE0c/wuRSJJACQWVoGH1yNAEAAGgmR7+CbpeNT987c2gnaJBoKV1yNQEAAChHQCJFtpGwyj1HQBsf3zM8fX5HP++YZS+Fz0pldWV1WAYAAAB0YXJnZXRyNgEAAEdAAN1jiGWUsHUuUEsHCLKFzQx2FgAAdhYAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgBCAG1iLW1wLWdhcC0wNjkwNjUvYnl0ZW9yZGVyRkI+AFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpabGl0dGxlUEsHCIU94xkGAAAABgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGAA0AG1iLW1wLWdhcC0wNjkwNjUvdmVyc2lvbkZCMABaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlozClBLBwjRnmdVAgAAAAIAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAACcAKQBtYi1tcC1nYXAtMDY5MDY1Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRGQiUAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjA2MzY0NTc3Mzc5NDY0MDEwNTEzMDAwMDAwMTE5NzYyNTA4NjcyNjlQSwcIdTMu2igAAAAoAAAAUEsBAgAAAAAICAAAAAAAALKFzQx2FgAAdhYAABkAAAAAAAAAAAAAAAAAAAAAAG1iLW1wLWdhcC0wNjkwNjUvZGF0YS5wa2xQSwECAAAAAAgIAAAAAAAAhT3jGQYAAAAGAAAAGgAAAAAAAAAAAAAAAADGFgAAbWItbXAtZ2FwLTA2OTA2NS9ieXRlb3JkZXJQSwECAAAAAAgIAAAAAAAA0Z5nVQIAAAACAAAAGAAAAAAAAAAAAAAAAABWFwAAbWItbXAtZ2FwLTA2OTA2NS92ZXJzaW9uUEsBAgAAAAAICAAAAAAAAHUzLtooAAAAKAAAACcAAAAAAAAAAAAAAAAA0hcAAG1iLW1wLWdhcC0wNjkwNjUvLmRhdGEvc2VyaWFsaXphdGlvbl9pZFBLBgYsAAAAAAAAAB4DLQAAAAAAAAAAAAQAAAAAAAAABAAAAAAAAAAqAQAAAAAAAHgYAAAAAAAAUEsGBwAAAACiGQAAAAAAAAEAAABQSwUGAAAAAAQABAAqAQAAeBgAAAAA" | ./matbench_mp_gap/mb-mp-gap-069065 | /tmp/hf-datasets-cache/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-007621 | /tmp/hf-datasets-cache/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-024672 | /tmp/hf-datasets-cache/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-034105 | /tmp/hf-datasets-cache/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-092806 | /tmp/hf-datasets-cache/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-048308 | /tmp/hf-datasets-cache/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-021341 | /tmp/hf-datasets-cache/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-019243 | /tmp/hf-datasets-cache/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-010865 | /tmp/hf-datasets-cache/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-043936 | /tmp/hf-datasets-cache/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-054651 | /tmp/hf-datasets-cache/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-055787 | /tmp/hf-datasets-cache/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-085770 | /tmp/hf-datasets-cache/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-094964 | /tmp/hf-datasets-cache/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-030994 | /tmp/hf-datasets-cache/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-095011 | /tmp/hf-datasets-cache/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-073049 | /tmp/hf-datasets-cache/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-049366 | /tmp/hf-datasets-cache/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-040791 | /tmp/hf-datasets-cache/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-098525 | /tmp/hf-datasets-cache/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-040907 | /tmp/hf-datasets-cache/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-099253 | /tmp/hf-datasets-cache/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-043810 | /tmp/hf-datasets-cache/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-007141 | /tmp/hf-datasets-cache/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-001521 | /tmp/hf-datasets-cache/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-068163 | /tmp/hf-datasets-cache/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-027172 | /tmp/hf-datasets-cache/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-097646 | /tmp/hf-datasets-cache/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-025035 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTAyMTM1Ni9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQBMZqyyUB7RHP5eEDkINFb1Hv93ikGM6DBVlXXENKEe/4IvAw1QoIEdAEvz5dB+3gEe/3eKQYzoMFWVdcQ4oRz+U/eDr6JvgRz+XhA7t2YzPR0ATMPKyDrByZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAEzEMhjL2zVgBAAAAYnESR0ATMQx1M50AWAEAAABjcRNHQBMxDJVXYNZYBQAAAGFscGhhcRRHQFfVsTmucMxYBAAAAGJldGFxFUdAV9WxOEXaC1gFAAAAZ2FtbWFxFkdAV9WxP2iCbFgGAAAAdm9sdW1lcRdHQFs6bOehNc91WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABCYXEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHgAAAAAAAAABHgAAAAAAAAABHAAAAAAAAAABlaBh9cSVYBgAAAG1hZ21vbXEmR4AAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAAQmFxKFgDAAAAeHl6cSldcSooRwAAAAAAAAAARwAAAAAAAAAARwAAAAAAAAAAZXV9cSsoaB1dcSx9cS0oaCBYAgAAAFJlcS5oIksBdWFoI11xLyhHP+AAAAAAAABHP+AAAAAAAABHP+AAAAAAAABlaBh9cTBoJkeAAAAAAAAAAHNoJ1gCAAAAUmVxMWgpXXEyKEdAAR0w9RVrTEdAAywBkU+eI0c//ulBS07d32V1fXEzKGgdXXE0fXE1KGggWAEAAABIcTZoIksBdWFoI11xNyhHP+eRwko85Q5HP+AAAAAAAABHP9Dce2uGNeVlaBh9cThoJkeAAAAAAAAAAHNoJ2g2aCldcTkoR0AKHH4Zn9UiR0ADLAGQ/lebRz/l+K+Duce7ZXV9cTooaB1dcTt9cTwoaCBoNmgiSwF1YWgjXXE9KEc/0Nx7a4Y15Uc/55HCSjzlDkc/4AAAAAAAAGVoGH1xPmgmR4AAAAAAAAAAc2gnaDZoKV1xPyhHP+xl5igESYxHQAwciduoXp1HP/7pQUtO3d9ldX1xQChoHV1xQX1xQihoIGg2aCJLAXVhaCNdcUMoRz/gAAAAAAAARz/Q3HtrhjXlRz/nkcJKPOUOZWgYfXFEaCZHAAAAAAAAAABzaCdoNmgpXXFFKEdAAiGbO59aX0c/9HbyjpBIX0dACWsVamBr8GV1fXFGKGgdXXFHfXFIKGggaDZoIksBdWFoI11xSShHP+pNteYAenlHP97o6zt30EZHP+WfkWVtmAllaBh9cUpoJkcAAAAAAAAAAHNoJ2g2aCldcUsoR0ANg2r0VOZMR0ACndAqH1WdR0AFD690/eqqZXV9cUwoaB1dcU19cU4oaCBoNmgiSwF1YWgjXXFPKEc/xskoZ/4WG0c/1MDdNSTP7kc/4IuKYkQX3WVoGH1xUGgmRwAAAAAAAAAAc2gnaDZoKV1xUShHP+YsuTCHC2ZHP/jieu/+yNNHQAH3+WY9kjxldX1xUihoHV1xU31xVChoIGg2aCJLAXVhaCNdcVUoRz/ln5FlbZgJRz/qTbXmAHp5Rz/e6Os7d9BGZWgYfXFWaCZHAAAAAAAAAABzaCdoNmgpXXFXKEdABn4FYhBVuEdAD23NfOxWskc/+eKPyiKXRmV1fXFYKGgdXXFZfXFaKGggaDZoIksBdWFoI11xWyhHP+CLimJEF91HP8bJKGf+FhtHP9TA3TUkz+5laBh9cVxoJkcAAAAAAAAAAHNoJ2g2aCldcV0oR0ADEVsbdrA1Rz/rqNaVwqgbRz/zsyOsoeZoZXV9cV4oaB1dcV99cWAoaCBoNmgiSwF1YWgjXXFhKEc/3ujrO3fQRkc/5Z+RZW2YCUc/6k215gB6eWVoGH1xYmgmRwAAAAAAAAAAc2gnaDZoKV1xYyhHP/+UFu+kV8VHQAnmxasUVF1HQAs4qru64GhldX1xZChoHV1xZX1xZihoIGg2aCJLAXVhaCNdcWcoRz/UwN01JM/uRz/gi4piRBfdRz/GyShn/hYbZWgYfXFoaCZHgAAAAAAAAABzaCdoNmgpXXFpKEc/9I5BEWFRoEdAA7oy+E2ls0c/3YS0fJ/rumV1ZXVYBgAAAHRhcmdldHFqR0AJKfvnbItEdS5QSwcIO+W1hhgHAAAYBwAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAaACAAbWItbXAtZ2FwLTAyMTM1Ni9ieXRlb3JkZXJGQhwAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWmxpdHRsZVBLBwiFPeMZBgAAAAYAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABgANABtYi1tcC1nYXAtMDIxMzU2L3ZlcnNpb25GQjAAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMwpQSwcI0Z5nVQIAAAACAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAnACkAbWItbXAtZ2FwLTAyMTM1Ni8uZGF0YS9zZXJpYWxpemF0aW9uX2lkRkIlAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlowNjM2NDU3NzM3OTQ2NDAxMDUxMzAwMDAwMDIwNDIxNzkwNjY3OTA2UEsHCHgdf5soAAAAKAAAAFBLAQIAAAAACAgAAAAAAAA75bWGGAcAABgHAAAZAAAAAAAAAAAAAAAAAAAAAABtYi1tcC1nYXAtMDIxMzU2L2RhdGEucGtsUEsBAgAAAAAICAAAAAAAAIU94xkGAAAABgAAABoAAAAAAAAAAAAAAAAAaAcAAG1iLW1wLWdhcC0wMjEzNTYvYnl0ZW9yZGVyUEsBAgAAAAAICAAAAAAAANGeZ1UCAAAAAgAAABgAAAAAAAAAAAAAAAAA1gcAAG1iLW1wLWdhcC0wMjEzNTYvdmVyc2lvblBLAQIAAAAACAgAAAAAAAB4HX+bKAAAACgAAAAnAAAAAAAAAAAAAAAAAFIIAABtYi1tcC1nYXAtMDIxMzU2Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRQSwYGLAAAAAAAAAAeAy0AAAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAKgEAAAAAAAD4CAAAAAAAAFBLBgcAAAAAIgoAAAAAAAABAAAAUEsFBgAAAAAEAAQAKgEAAPgIAAAAAA==" | ./matbench_mp_gap/mb-mp-gap-021356 | /tmp/hf-datasets-cache/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-078489 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA2NDA3NC9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQBr4I0V/ZhJHv6draALzpVRHP7T5pR0FdF5lXXENKEdABQ3odJ4Mm0dAGMrBfAu/Jkc/t5SgCqHvfmVdcQ4oRz/+8fvYqPkIR0AF29vQ9qgTR0Aizzz/ZM+NZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAGvjOcZLKx1gBAAAAYnESR0Aa7935/0cEWAEAAABjcRNHQCP3L2CU2A9YBQAAAGFscGhhcRRHQFGF4QfnF+JYBAAAAGJldGFxFUdAU5E61DqItVgFAAAAZ2FtbWFxFkdAUNgGHLLHPVgGAAAAdm9sdW1lcRdHQHiAyTGU3E91WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABSYnEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP8+ihPqmI+xHP+iSCzqbsk5HP56tJRGyWgVlaBh9cSVYBgAAAG1hZ21vbXEmRz9gYk3S8an8c1gFAAAAbGFiZWxxJ1gCAAAAUmJxKFgDAAAAeHl6cSldcSooR0AN9duYchw/R0ATUXT0CckiRz/X2prkdj+gZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/0bAFQNyUFUc/4HmSeD0of0c/2+J9w9Aj72VoGH1xL2gmRz9gYk3S8an8c2gnWAIAAABSYnEwaCldcTEoR0AQPnTyG9P7R0ARea0KXaiIR0AQq7ybFxgSZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/z6c/SZb31Ec/2Zv9dw6qPUc/6xeLTHnWMGVoGH1xNmgmRz9wYk3S8an8c2gnWAIAAABSYnE3aCldcTgoR0ARbnHWDEx8R0ATINbpqlTvR0AgCfEYUnVQZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/y4LB/DlL/Ec/7udT8cSo50c/4/yKT07HuWVoGH1xPWgmRz9QYk3S8an8c2gnWAIAAABSYnE+aCldcT8oR0AUy3xVElEpR0AeusMZ50SGR0AX7BqUchDSZXV9cUAoaB1dcUF9cUIoaCBoIWgiSwF1YWgjXXFDKEc/6R9PgPGtAUc/oYrA47VxkUc/2AbrYWJwjmVoGH1xRGgmRz9QYk3S8an8c2gnWAIAAABSYnFFaCldcUYoR0AYcBog5ll4Rz/zPFXqZ517R0AMyTD97FevZXV9cUcoaB1dcUh9cUkoaCBoIWgiSwF1YWgjXXFKKEc/6BYwLZpCC0c/4zIBRHiq4kc/w6HSzhinQWVoGH1xS2gmRz9wYk3S8an8c2gnWAIAAABSYnFMaCldcU0oR0AbzSSf7F4lR0AQaQGq1tb2Rz/480OLDUgkZXV9cU4oaB1dcU99cVAoaCBoIWgiSwF1YWgjXXFRKEc/5yf9X5G19Uc/3wzbD4WvAUc/4g7BHhfuCGVoGH1xUmgmRz9gYk3S8an8c2gnWAIAAABSYnFTaCldcVQoR0Ac/SGD3NalR0ASECuKI4NcR0AVpPZ4USSXZXV9cVUoaB1dcVZ9cVcoaCBoIWgiSwF1YWgjXXFYKEc/6BdewVZ3BUc/zbfTFZE2ykc/7wqW13JtMGVoGH1xWWgmRz9gYk3S8an8c2gnWAIAAABSYnFaaCldcVsoR0AeQKipv5yCR0AQOGOgd2LER0AiaYSykGxXZXV9cVwoaB1dcV19cV4oaCBYAgAAAEZlcV9oIksBdWFoI11xYChHP9EgyW5zeyJHP8SS0Gc2GhhHP8+/8Qa930llaBh9cWFoJkdADcrAgxJumHNoJ1gCAAAARmVxYmgpXXFjKEdABahIR5hknkc/+pZgLUmNTkdAAvTQVTHY8GV1fXFkKGgdXXFlfXFmKGggaF9oIksBdWFoI11xZyhHP+dvm0jGQm9HP+rbS+YyeXpHP+gQA75QiC5laBh9cWhoJkdADcrAgxJumHNoJ1gCAAAARmVxaWgpXXFqKEdAITO5KRY8KUdAHORAiS7IkkdAHNZK6M9QMmV1fXFrKGgdXXFsfXFtKGggWAEAAABPcW5oIksBdWFoI11xbyhHP7z83eGdE3dHP8KsokptNo9HP78++hDSthtlaBh9cXBoJkc/pocrAgxJunNoJ2huaCldcXEoRz/2Irxy/3oDRz/zuJXGA4mmRz/yutM8Kat+ZXV9cXIoaB1dcXN9cXQoaCBobmgiSwF1YWgjXXF1KEc/p2/qSLOjBUc/1DmWuhY710c/1wLhfAZgwmVoGH1xdmgmRz+dsi0OVgQZc2gnaG5oKV1xdyhHP/1fGzUFfxZHQAeDC/dUvMVHQAtQll9HtMlldX1xeChoHV1xeX1xeihoIGhuaCJLAXVhaCNdcXsoRz/ct7/1TfVWRz/VGY6G6+z5Rz/JHexPHiBSZWgYfXF8aCZHP6HrhR64UexzaCdobmgpXXF9KEdAERcZ7HyxjkdABHjf+tyoB0c//pn2vF5nSmV1fXF+KGgdXXF/fXGAKGggaG5oIksBdWFoI11xgShHP+Gv1wLbp4ZHP8BuLEL/AytHP+VtPxhDw6RlaBh9cYJoJkc/qp++dsi0OXNoJ2huaCldcYMoR0AVcA+7ccnQR0AEzH9APjMSR0AZaukSZkxOZXV9cYQoaB1dcYV9cYYoaCBobmgiSwF1YWgjXXGHKEc/3KBR+kiw9Ec/6+R070A/NUc/1SWBz3h4uGVoGH1xiGgmRz+qn752yLQ5c2gnaG5oKV1xiShHQBfLhrqG4NFHQBkjmPRiElxHQAnLlAID4LdldX1xiihoHV1xi31xjChoIGhuaCJLAXVhaCNdcY0oRz/hpCAFWQVVRz/lczi8igmERz/puITsOHfsZWgYfXGOaCZHP6HrhR64UexzaCdobmgpXXGPKEdAHCR8iXv5FEdAGU1olxLX4kdAHqo1ZFCi12V1fXGQKGgdXXGRfXGSKGggaG5oIksBdWFoI11xkyhHP+6JAVt0xdBHP+XjNKL04hVHP+R+j0H8z59laBh9cZRoJkc/nbItDlYEGXNoJ2huaCldcZUoR0Ai8efUW6VuR0AXyFKY1s2DR0AYqGfjxGJFZXV9cZYoaB1dcZd9cZgoaCBobmgiSwF1YWgjXXGZKEc/7GBkQ8xdkUc/61TXbWSyXEc/7BggveWpPWVoGH1xmmgmRz+mhysCDEm6c2gnaG5oKV1xmyhHQCPZc6ycZhFHQB6bsyMASXpHQCDQ/yIu6OVldWV1WAYAAAB0YXJnZXRxnEc/3fb9If8uSHUuUEsHCAc/AFpnCgAAZwoAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgARAG1iLW1wLWdhcC0wNjQwNzQvYnl0ZW9yZGVyRkINAFpaWlpaWlpaWlpaWlpsaXR0bGVQSwcIhT3jGQYAAAAGAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAYADQAbWItbXAtZ2FwLTA2NDA3NC92ZXJzaW9uRkIwAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjMKUEsHCNGeZ1UCAAAAAgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAJwApAG1iLW1wLWdhcC0wNjQwNzQvLmRhdGEvc2VyaWFsaXphdGlvbl9pZEZCJQBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMDYzNjQ1NzczNzk0NjQwMTA1MTMwMDAwMDAxNzc5ODQ2NDI1NDY4M1BLBwht5E5bKAAAACgAAABQSwECAAAAAAgIAAAAAAAABz8AWmcKAABnCgAAGQAAAAAAAAAAAAAAAAAAAAAAbWItbXAtZ2FwLTA2NDA3NC9kYXRhLnBrbFBLAQIAAAAACAgAAAAAAACFPeMZBgAAAAYAAAAaAAAAAAAAAAAAAAAAALcKAABtYi1tcC1nYXAtMDY0MDc0L2J5dGVvcmRlclBLAQIAAAAACAgAAAAAAADRnmdVAgAAAAIAAAAYAAAAAAAAAAAAAAAAABYLAABtYi1tcC1nYXAtMDY0MDc0L3ZlcnNpb25QSwECAAAAAAgIAAAAAAAAbeROWygAAAAoAAAAJwAAAAAAAAAAAAAAAACSCwAAbWItbXAtZ2FwLTA2NDA3NC8uZGF0YS9zZXJpYWxpemF0aW9uX2lkUEsGBiwAAAAAAAAAHgMtAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAACoBAAAAAAAAOAwAAAAAAABQSwYHAAAAAGINAAAAAAAAAQAAAFBLBQYAAAAABAAEACoBAAA4DAAAAAA=" | ./matbench_mp_gap/mb-mp-gap-064074 | /tmp/hf-datasets-cache/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-104015 | /tmp/hf-datasets-cache/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-091321 | /tmp/hf-datasets-cache/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-039072 | /tmp/hf-datasets-cache/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-066188 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTAxODgxNi9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHv4fRVp9JBgNHwBVhoebwDptHv+ptlTQvMZxlXXENKEfAGypfcKjfiEc/zKLjmkO4kke/+abXnWBNnmVdcQ4oRz+MryATm743Rz/vP/+Z/plOR8AZilzltCRfZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAFaKXfXEMa1gBAAAAYnESR0Ab7TIQK9E5WAEAAABjcRNHQBnWaHj0nRxYBQAAAGFscGhhcRRHQFMuAD9oxwJYBAAAAGJldGFxFUdAVnptTqECvFgFAAAAZ2FtbWFxFkdAVmvhbVFZ5VgGAAAAdm9sdW1lcRdHQG2skQemCjF1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABIZnEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP9J6jxJXGplHP+sZkaF9k6pHP8Cs+rTnfdNlaBh9cSVYBgAAAG1hZ21vbXEmRwAAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAASGZxKFgDAAAAeHl6cSldcSooR8AXAwctSO9JR7/zoHX/pVfuR8ADbJ0c/KZgZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/0yRzBrLMm0c/6x21YnfvUEc/5Bu3Fati8GVoGH1xL2gmRwAAAAAAAAAAc2gnWAIAAABIZnEwaCldcTEoR8AW/4Wd/TWBR7/pdTlA3wX7R8AWeLE+GNTSZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/6bFi7reuLUc/5NMrW02Dlkc/5bJkwaCexmVoGH1xNmgmRwAAAAAAAAAAc2gnWAIAAABIZnE3aCldcTgoR8ARrZY5Bg5XR8AL319DS8ocR8AYJJX7n6XQZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/6SmN+KaaXkc/5Q2sWz09eEc/xtDLSZT0bmVoGH1xPWgmRwAAAAAAAAAAc2gnWAIAAABIZnE+aCldcT8oR8AR5jj03qdsR8APDiRgIXr2R8AGvRgDijGaZXV9cUAoaB1dcUF9cUIoaCBoIWgiSwF1YWgjXXFDKEc/zJOXYYYB4kc/2J/+F3KNZkc/38l3+N/7KGVoGH1xRGgmRwAAAAAAAAAAc2gnWAIAAABIZnFFaCldcUYoR8AE3qv1K7WQR7/j6YxPbMDIR8APx8vf33hvZXV9cUcoaB1dcUh9cUkoaCBoIWgiSwF1YWgjXXFKKEc/zrtuQCSIS0c/2YaiRhCFiUc/77bUyJm3TGVoGH1xS2gmRwAAAAAAAAAAc2gnWAIAAABIZnFMaCldcU0oR8AFlLAoedf1R7/M+BO9B43UR8Acqcuj7FW/ZXV9cU4oaB1dcU99cVAoaCBoIWgiSwF1YWgjXXFRKEc/5hMEPqkIIkc/wMOmXXdUdUc/06/nDeumAWVoGH1xUmgmRwAAAAAAAAAAc2gnWAIAAABIZnFTaCldcVQoR7/slPtObIiVR8AK3G0wM1LgR8AF81dDcNGoZXV9cVUoaB1dcVZ9cVcoaCBoIWgiSwF1YWgjXXFYKEc/5zS3RymKPUc/um8HHtgyXEc/6hzIJ6GEoGVoGH1xWWgmRwAAAAAAAAAAc2gnWAIAAABIZnFaaCldcVsoR7/mWCUCmWEMR8AIc3TEakl9R8AX5jJfBrfYZXV9cVwoaB1dcV19cV4oaCBYAQAAAE5xX2giSwF1YWgjXXFgKEc/4k3xsDEKukc/6jtYhij5c0c/2KHvEx2/A2VoGH1xYWgmRwAAAAAAAAAAc2gnaF9oKV1xYihHwBZGGZQ5Lw5HwAP8o0wrHLpHwBD6CygAWchldX1xYyhoHV1xZH1xZShoIGhfaCJLAXVhaCNdcWYoRz/ifMAaC+/NRz/pvph22dEXRz/sfFYR2nL+ZWgYfXFnaCZHAAAAAAAAAABzaCdoX2gpXXFoKEfAFdUEimOiFEfAAE+Tfcj5gEfAHc2r3J4FjmV1fXFpKGgdXXFqfXFrKGggaF9oIksBdWFoI11xbChHP7LgRPmvLgBHP+X3Rqiw47hHP9rUU7SIB3ZlaBh9cW1oJkcAAAAAAAAAAHNoJ2hfaCldcW4oR8ASoJdSBZqaRz/Fm85gzrQSR8AOtHTKsnLJZXV9cW8oaB1dcXB9cXEoaCBoX2giSwF1YWgjXXFyKEc/s0PkhlHpLEc/5j7cSUGSckc/7VqHSoyWJmVoGH1xc2gmRwAAAAAAAAAAc2gnaF9oKV1xdChHwBLWPDerQ3FHP+TFIdDdY7FHwBwij+CjZb1ldX1xdShoHV1xdn1xdyhoIGhfaCJLAXVhaCNdcXgoRz/eTEJDG4idRz/ebGdRnddsRz/NDSuiGkaoZWgYfXF5aCZHAAAAAAAAAABzaCdoX2gpXXF6KEfACdiEEmyFAUfAAZ7Abo4r8UfABNF+e56ASmV1fXF7KGgdXXF8fXF9KGggaF9oIksBdWFoI11xfihHP+6bumtLUo9HP9cn9OacVrhHP+gwJggna9VlaBh9cX9oJkcAAAAAAAAAAHNoJ2hfaCldcYAoR8ADqXnNQyPER8ARLNFP91X7R8AYyRz6s9cyZXV9cYEoaB1dcYJ9cYMoaCBoX2giSwF1YWgjXXGEKEc/3MlKIOB1S0c/wSacYXUP90c/qInX2pzvD2VoGH1xhWgmRwAAAAAAAAAAc2gnaF9oKV1xhihHv+1D7c7mF1JHwAKeraencjBHv+yNwDhSLHJldX1xhyhoHV1xiH1xiShoIGhfaCJLAXVhaCNdcYooRz/dPccALyTcRz/BD1giKvgmRz/iLndG3mDJZWgYfXGLaCZHAAAAAAAAAABzaCdoX2gpXXGMKEe/7OFphMQv+0e//bixWKbHCEfAEOAel5yQCmV1fXGNKGgdXXGOfXGPKGggWAEAAABPcZBoIksBdWFoI11xkShHP9yLipfz/RJHP+A+MoAv5iJHP+a1TkB/zOplaBh9cZJoJkcAAAAAAAAAAHNoJ2iQaCldcZMoR8ALij357iUaR7/5PapTlm88R8AW2ljjUpVMZXV9cZQoaB1dcZV9cZYoaCBokGgiSwF1YWgjXXGXKEc/7x0L+glF+kc/1ulaog0Fokc/z8hq0tyxRmVoGH1xmGgmRwAAAAAAAAAAc2gnaJBoKV1xmShHwAODRCxSHtZHwBN/rFUz3vFHwAey+l+vbzZldX1xmihoHV1xm31xnChoIGiQaCJLAXVhaCNdcZ0oRz/uCqIPtNPdRz/v3119337WRz+5sQZHwrdKZWgYfXGeaCZHAAAAAAAAAABzaCdokGgpXXGfKEfAGxhoueeg20fAEsoZmk4CRkfACBqQ+FqwnGV1fXGgKGgdXXGhfXGiKGggaJBoIksBdWFoI11xoyhHP+54AJJMHWVHP33mH1k2qAhHP+KYlhkxf1RlaBh9caRoJkcAAAAAAAAAAHNoJ2iQaCldcaUoR7+q4lQ25s0CR8ASFOnlZ6XiR8ASCNQGKpMaZXVldVgGAAAAdGFyZ2V0caZHP/EQyylenhh1LlBLBwjsRKU6OgsAADoLAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABoAPgBtYi1tcC1nYXAtMDE4ODE2L2J5dGVvcmRlckZCOgBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpabGl0dGxlUEsHCIU94xkGAAAABgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGAA0AG1iLW1wLWdhcC0wMTg4MTYvdmVyc2lvbkZCMABaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlozClBLBwjRnmdVAgAAAAIAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAACcAKQBtYi1tcC1nYXAtMDE4ODE2Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRGQiUAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjA2MzY0NTc3Mzc5NDY0MDEwNTEzMDAwMDAwMTU2NDEwNDgxOTc2NzJQSwcImVsR7igAAAAoAAAAUEsBAgAAAAAICAAAAAAAAOxEpTo6CwAAOgsAABkAAAAAAAAAAAAAAAAAAAAAAG1iLW1wLWdhcC0wMTg4MTYvZGF0YS5wa2xQSwECAAAAAAgIAAAAAAAAhT3jGQYAAAAGAAAAGgAAAAAAAAAAAAAAAACKCwAAbWItbXAtZ2FwLTAxODgxNi9ieXRlb3JkZXJQSwECAAAAAAgIAAAAAAAA0Z5nVQIAAAACAAAAGAAAAAAAAAAAAAAAAAAWDAAAbWItbXAtZ2FwLTAxODgxNi92ZXJzaW9uUEsBAgAAAAAICAAAAAAAAJlbEe4oAAAAKAAAACcAAAAAAAAAAAAAAAAAkgwAAG1iLW1wLWdhcC0wMTg4MTYvLmRhdGEvc2VyaWFsaXphdGlvbl9pZFBLBgYsAAAAAAAAAB4DLQAAAAAAAAAAAAQAAAAAAAAABAAAAAAAAAAqAQAAAAAAADgNAAAAAAAAUEsGBwAAAABiDgAAAAAAAAEAAABQSwUGAAAAAAQABAAqAQAAOA0AAAAA" | ./matbench_mp_gap/mb-mp-gap-018816 | /tmp/hf-datasets-cache/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-101161 | /tmp/hf-datasets-cache/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-039542 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTAwMjg5Ni9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHwBLNAEhPTx5Hv7J8TQKSK5FHwBKvS9K8T/1lXXENKEdAEoMPFEUGb0fAEoMPFEUGb0cAAAAAAAAAAGVdcQ4oR8ATFvF8WZfMR8ATFvF8WZfMR4AAAAAAAAAAZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAGoIK0RRyQVgBAAAAYnESR0AaLgqXdTjbWAEAAABjcRNHQBr/LnaxbYlYBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdATbGs5pwtMFgFAAAAZ2FtbWFxFkdAXeXY3CiJylgGAAAAdm9sdW1lcRdHQGnK7m+61Ot1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABNZ3EhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP+AAAAAAAABHP+AAAAAAAABHAAAAAAAAAABlaBh9cSVYBgAAAG1hZ21vbXEmRwAAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAATWdxKFgDAAAAeHl6cSldcSooR7+ifE0CkivAR8ACzQBIT08dR8ACr0vSvE/9ZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/4AAAAAAAAEeAAAAAAAAAAEcAAAAAAAAAAGVoGH1xL2gmRwAAAAAAAAAAc2gnWAIAAABNZ3EwaCldcTEoR8ACzQBIT08eR7+ifE0CkiuRR8ACr0vSvE/9ZXV9cTIoaB1dcTN9cTQoaCBYAgAAAFpycTVoIksBdWFoI11xNihHgAAAAAAAAABHgAAAAAAAAABHP+AAAAAAAABlaBh9cTdoJkeAAAAAAAAAAHNoJ1gCAAAAWnJxOGgpXXE5KEfAAxbxfFmXzEfAAxbxfFmXzEcAAAAAAAAAAGV1fXE6KGgdXXE7fXE8KGggaDVoIksBdWFoI11xPShHAAAAAAAAAABHgAAAAAAAAABHAAAAAAAAAABlaBh9cT5oJkeAAAAAAAAAAHNoJ1gCAAAAWnJxP2gpXXFAKEcAAAAAAAAAAEcAAAAAAAAAAEcAAAAAAAAAAGV1fXFBKGgdXXFCfXFDKGggWAIAAABTaXFEaCJLAXVhaCNdcUUoRz/gAAAAAAAAR4AAAAAAAAAARz/gAAAAAAAAZWgYfXFGaCZHAAAAAAAAAABzaCdYAgAAAFNpcUdoKV1xSChHwBLx+OJUc3VHwANg4rBj4HpHwAKvS9K8T/1ldX1xSShoHV1xSn1xSyhoIGhEaCJLAXVhaCNdcUwoRz/gAAAAAAAARz/gAAAAAAAARz/gAAAAAAAAZWgYfXFNaCZHAAAAAAAAAABzaCdYAgAAAFNpcU5oKV1xTyhHwANg4rBj4HtHwBLx+OJUc3RHwAKvS9K8T/1ldX1xUChoHV1xUX1xUihoIGhEaCJLAXVhaCNdcVMoRwAAAAAAAAAARz/gAAAAAAAARwAAAAAAAAAAZWgYfXFUaCZHgAAAAAAAAABzaCdYAgAAAFNpcVVoKV1xVihHQAKDDxRFBm9HwAKDDxRFBm9HAAAAAAAAAABldX1xVyhoHV1xWH1xWShoIGhEaCJLAXVhaCNdcVooR4AAAAAAAAAARz/gAAAAAAAARz/gAAAAAAAAZWgYfXFbaCZHgAAAAAAAAABzaCdYAgAAAFNpcVxoKV1xXShHv7J8TQKSK6BHwBLNAEhPTx5HAAAAAAAAAABldX1xXihoHV1xX31xYChoIFgBAAAAT3FhaCJLAXVhaCNdcWIoRz/kv6Z+WXdARz/qX9M/LLugRz/bQFmBpojAZWgYfXFjaCZHAAAAAAAAAABzaCdoYWgpXXFkKEe/9D62TIK6iEfAF5K8p2W1EEfACDrtzs6lzWV1fXFlKGgdXXFmfXFnKGggaGFoIksBdWFoI11xaChHP+s2nsLORkpHP9s2nsLORkpHP+pksJ6Y3NtlaBh9cWloJkcAAAAAAAAAAHNoJ2hhaCldcWooR8AX3K3bb/3AR8AX3K3bb/2/R8APx5j6EB3tZXV9cWsoaB1dcWx9cW0oaCBoYWgiSwF1YWgjXXFuKEc/z0yQEQS1HEc/6m6hApmNWkc/6kMFo63vkmVoGH1xb2gmRwAAAAAAAAAAc2gnaGFoKV1xcChHv/PkIpXs+MZHwB8HMCocvDRHv/JGhecAAPxldX1xcShoHV1xcn1xcyhoIGhhaCJLAXVhaCNdcXQoRz/PTJARBLUcRz/ayQX4knhoRz/b06ywIcZOZWgYfXF1aCZHAAAAAAAAAABzaCdoYWgpXXF2KEe/9JlKD4TQZkfAEB5JIZOY5ke/8kaF5wAA/GV1fXF3KGgdXXF4fXF5KGggaGFoIksBdWFoI11xeihHP89MkBEEtRxHP9rJBfiSeGhHP+pDBaOt75JlaBh9cXtoJkcAAAAAAAAAAHNoJ2hhaCldcXwoR8AJCEIx5ZWZR8AXfBe2pS+YR7/yRoXnAAD8ZXV9cX0oaB1dcX59cX8oaCBoYWgiSwF1YWgjXXGAKEc/z0yQEQS1HEc/6m6hApmNWkc/29OssCHGTmVoGH1xgWgmRwAAAAAAAAAAc2gnaGFoKV1xgihHP+MmL3yyxAxHwBepYZULJYBHv/JGhecAAPxldX1xgyhoHV1xhH1xhShoIGhhaCJLAXVhaCNdcYYoRz/WgLMDTRGBRz/GgLMDTRGBRz/iX9M/LLugZWgYfXGHaCZHAAAAAAAAAABzaCdoYWgpXXGIKEfADKJqOoZjs0fADKJqOoZjske/+kdTrVP0XGV1fXGJKGgdXXGKfXGLKGggaGFoIksBdWFoI11xjChHP8MlhPTG5tpHP+JksJ6Y3NtHP8ZtPYWcjJNlaBh9cY1oJkcAAAAAAAAAAHNoJ2hhaCldcY4oRz/x7yysMHURR8AMDofScdJUR7/mW/qtogg1ZXV9cY8oaB1dcZB9cZEoaCBoYWgiSwF1YWgjXXGSKEc/6Czb+77SuUc/xkV79ZnKl0c/xvPpcUhBuGVoGH1xk2gmRwAAAAAAAAAAc2gnaGFoKV1xlChHwAzPtBXRRJNHv/tzBmowqtZHwAw7VLH4n3xldX1xlShoHV1xln1xlyhoIGhhaCJLAXVhaCNdcZgoRz/oLNv7vtK5Rz/im30DtsPMRz/iFimn7xzZZWgYfXGZaCZHAAAAAAAAAABzaCdoYWgpXXGaKEfADHUgWQVYw0fAFcWooxVOBEfADDtUsfiffGV1fXGbKGgdXXGcfXGdKGggaGFoIksBdWFoI11xnihHP+gs2/u+0rlHP+KbfQO2w8xHP8bz6XFIQbhlaBh9cZ9oJkcAAAAAAAAAAHNoJ2hhaCldcaAoR7/7cwZdxFa6R8AMz7QcB26iR8AMO1Sx+J98ZXV9caEoaB1dcaJ9caMoaCBoYWgiSwF1YWgjXXGkKEc/6Czb+77SuUc/xkV79ZnKl0c/4hYpp+8c2WVoGH1xpWgmRwAAAAAAAAAAc2gnaGFoKV1xpihHwBXFqJ/6OPxHwAx1IF87gtFHwAw7VLH4n3xldX1xpyhoHV1xqH1xqShoIGhhaCJLAXVhaCNdcaooRz/QPQs4w0AGRz/APQs4w0AGRz+/hemOeX/0ZWgYfXGraCZHgAAAAAAAAABzaCdoYWgpXXGsKEe/8xbxfFmXzEe/8xbxfFmXzEe/8vaVPp1rYWV1fXGtKGgdXXGufXGvKGggaGFoIksBdWFoI11xsChHP+fhemOeX/1HP+vwvTHPL/5HP+wPQs4w0AJlaBh9cbFoJkeAAAAAAAAAAHNoJ2hhaCldcbIoR8ANNkyimvUPR8AgjxqyyUB7R8AL400GKepJZXVldVgGAAAAdGFyZ2V0cbNHQAXtkWhysCJ1LlBLBwjj73YtJAwAACQMAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABoAFABtYi1tcC1nYXAtMDAyODk2L2J5dGVvcmRlckZCEABaWlpaWlpaWlpaWlpaWlpabGl0dGxlUEsHCIU94xkGAAAABgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGAA0AG1iLW1wLWdhcC0wMDI4OTYvdmVyc2lvbkZCMABaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlozClBLBwjRnmdVAgAAAAIAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAACcAKQBtYi1tcC1nYXAtMDAyODk2Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRGQiUAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjA2MzY0NTc3Mzc5NDY0MDEwNTEzMDAwMDAwMTQxOTAwOTU0ODU0NzNQSwcIy628KigAAAAoAAAAUEsBAgAAAAAICAAAAAAAAOPvdi0kDAAAJAwAABkAAAAAAAAAAAAAAAAAAAAAAG1iLW1wLWdhcC0wMDI4OTYvZGF0YS5wa2xQSwECAAAAAAgIAAAAAAAAhT3jGQYAAAAGAAAAGgAAAAAAAAAAAAAAAAB0DAAAbWItbXAtZ2FwLTAwMjg5Ni9ieXRlb3JkZXJQSwECAAAAAAgIAAAAAAAA0Z5nVQIAAAACAAAAGAAAAAAAAAAAAAAAAADWDAAAbWItbXAtZ2FwLTAwMjg5Ni92ZXJzaW9uUEsBAgAAAAAICAAAAAAAAMutvCooAAAAKAAAACcAAAAAAAAAAAAAAAAAUg0AAG1iLW1wLWdhcC0wMDI4OTYvLmRhdGEvc2VyaWFsaXphdGlvbl9pZFBLBgYsAAAAAAAAAB4DLQAAAAAAAAAAAAQAAAAAAAAABAAAAAAAAAAqAQAAAAAAAPgNAAAAAAAAUEsGBwAAAAAiDwAAAAAAAAEAAABQSwUGAAAAAAQABAAqAQAA+A0AAAAA" | ./matbench_mp_gap/mb-mp-gap-002896 | /tmp/hf-datasets-cache/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-067862 | /tmp/hf-datasets-cache/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-012291 | /tmp/hf-datasets-cache/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-016220 | /tmp/hf-datasets-cache/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-022713 | /tmp/hf-datasets-cache/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-084898 | /tmp/hf-datasets-cache/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-050818 | /tmp/hf-datasets-cache/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-037996 | /tmp/hf-datasets-cache/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-090596 | /tmp/hf-datasets-cache/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-053853 | /tmp/hf-datasets-cache/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-094705 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTAyMjMyNC9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHAAAAAAAAAABHAAAAAAAAAABHwAxbqxwi9k9lXXENKEfAB9NTUWDFvkfAFKIr3wEB3kcAAAAAAAAAAGVdcQ4oR8AH59kqfi3YR0AUqBiGtI+URwAAAAAAAAAAZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdADFurHCL2T1gBAAAAYnESR0AX01NyHVBxWAEAAABjcRNHQBfdlxraMPlYBQAAAGFscGhhcRRHQF38cc2t/wVYBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAVoAAAAAAAFgGAAAAdm9sdW1lcRdHQFtKF4ox1nh1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABOaXEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHAAAAAAAAAABHP9CLZlAWF+9HP/AAAAAAAABlaBh9cSVYBgAAAG1hZ21vbXEmR4AAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAATmlxKFgDAAAAeHl6cSldcSooR8AOEJMOaEjaR0AOpTi2yG5sRwAAAAAAAAAAZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEeAAAAAAAAAAEc/5711AIgQL0c/57y967Ns1GVoGH1xL2gmRwAAAAAAAAAAc2gnWAIAAABOaXEwaCldcTEoR8ARtEubu+PURz9vd+mSn3gARwAAAAAAAAAAZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEeAAAAAAAAAAEc/FuKalGtcb0c/0IaEKJkmV2VoGH1xNmgmRwAAAAAAAAAAc2gnWAIAAABOaXE3aCldcTgoR7/osvWaxZrZRz/1U+q/65uRRwAAAAAAAAAAZXV9cTkoaB1dcTp9cTsoaCBYAQAAAFBxPGgiSwF1YWgjXXE9KEcAAAAAAAAAAEc/1VI4/SGpSEc/5VQ3j7lGB2VoGH1xPmgmRwAAAAAAAAAAc2gnaDxoKV1xPyhHwAffA/Bm7upHP/uT0qZSlrNHAAAAAAAAAABldX1xQChoHV1xQX1xQihoIGg8aCJLAXVhaCNdcUMoRwAAAAAAAAAARz/lVOTu146dRz/VV5DgjXPxZWgYfXFEaCZHAAAAAAAAAABzaCdoPGgpXXFFKEfAB9qsZlMVrEe/+3b7KwDtc0cAAAAAAAAAAGV1fXFGKGgdXXFHfXFIKGggaDxoIksBdWFoI11xSShHP+AAAAAAAABHPxuxYWFu2tRHP/AAAAAAAABlaBh9cUpoJkcAAAAAAAAAAHNoJ2g8aCldcUsoR8AH6H4de8L0R0AUp4mtDgXBR7/8W6scIvZPZXV9cUwoaB1dcU19cU4oaCBYAgAAAFJocU9oIksBdWFoI11xUChHP+AAAAAAAABHP+NujC94voNHAAAAAAAAAABlaBh9cVFoJkcAAAAAAAAAAHNoJ1gCAAAAUmhxUmgpXXFTKEe//O+QjTv9kEfACQ8jzqZPREe//FurHCL2T2V1fXFUKGgdXXFVfXFWKGggaE9oIksBdWFoI11xVyhHP+AAAAAAAABHP9kdIg9JdBJHP9kefEysq/BlaBh9cVhoJkcAAAAAAAAAAHNoJ1gCAAAAUmhxWWgpXXFaKEfAArtY672YsEc/Zhcj0M4MAEe//FurHCL2T2V1fXFbKGgdXXFcfXFdKGggaE9oIksBdWFoI11xXihHP+AAAAAAAABHP+//UtvwAFlHP+NwwdmpqghlaBh9cV9oJkcAAAAAAAAAAHNoJ1gCAAAAUmhxYGgpXXFhKEfAEyxb0SaJ9UfAACpIZbYZGUe//FurHCL2T2V1ZXVYBgAAAHRhcmdldHFiRwAAAAAAAAAAdS5QSwcI+1gGgFIGAABSBgAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAaACYAbWItbXAtZ2FwLTAyMjMyNC9ieXRlb3JkZXJGQiIAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWmxpdHRsZVBLBwiFPeMZBgAAAAYAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABgANABtYi1tcC1nYXAtMDIyMzI0L3ZlcnNpb25GQjAAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMwpQSwcI0Z5nVQIAAAACAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAnACkAbWItbXAtZ2FwLTAyMjMyNC8uZGF0YS9zZXJpYWxpemF0aW9uX2lkRkIlAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlowNjM2NDU3NzM3OTQ2NDAxMDUxMzAwMDAwMDIwMDU4MzI4MzY1MjQ2UEsHCK5ow+woAAAAKAAAAFBLAQIAAAAACAgAAAAAAAD7WAaAUgYAAFIGAAAZAAAAAAAAAAAAAAAAAAAAAABtYi1tcC1nYXAtMDIyMzI0L2RhdGEucGtsUEsBAgAAAAAICAAAAAAAAIU94xkGAAAABgAAABoAAAAAAAAAAAAAAAAAogYAAG1iLW1wLWdhcC0wMjIzMjQvYnl0ZW9yZGVyUEsBAgAAAAAICAAAAAAAANGeZ1UCAAAAAgAAABgAAAAAAAAAAAAAAAAAFgcAAG1iLW1wLWdhcC0wMjIzMjQvdmVyc2lvblBLAQIAAAAACAgAAAAAAACuaMPsKAAAACgAAAAnAAAAAAAAAAAAAAAAAJIHAABtYi1tcC1nYXAtMDIyMzI0Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRQSwYGLAAAAAAAAAAeAy0AAAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAKgEAAAAAAAA4CAAAAAAAAFBLBgcAAAAAYgkAAAAAAAABAAAAUEsFBgAAAAAEAAQAKgEAADgIAAAAAA==" | ./matbench_mp_gap/mb-mp-gap-022324 | /tmp/hf-datasets-cache/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-064866 | /tmp/hf-datasets-cache/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-060706 | /tmp/hf-datasets-cache/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-010784 | /tmp/hf-datasets-cache/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-038027 | /tmp/hf-datasets-cache/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-043212 | /tmp/hf-datasets-cache/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-064498 | /tmp/hf-datasets-cache/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-004851 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTEwMTk1My9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQBZLKw94QwhHvp4y8O4URTFHwAH7rbHUeOllXXENKEe/7QMZGddsjkdAFf8muCWgzkfAAfut432TVGVdcQ4oR7+ZYo9sRCDsR7+d6YpytSlCR0Af4yRGBXLcZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAGAnhJpUFaVgBAAAAYnESR0AYCeEnFh1hWAEAAABjcRNHQB/jPGhRlO9YBQAAAGFscGhhcRRHQFwJLfhgNXRYBAAAAGJldGFxFUdAXAkt+FGzc1gFAAAAZ2FtbWFxFkdAVoAAADWrplgGAAAAdm9sdW1lcRdHQG5zHHx6O1x1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAEAAABPcSFYBAAAAG9jY3VxIksBdWFYAwAAAGFiY3EjXXEkKEc/7R3GA9rV+kc/1ZGIKC0awEc/4z35isXsM2VoGH1xJVgGAAAAbWFnbW9tcSZHAAAAAAAAAABzWAUAAABsYWJlbHEnaCFYAwAAAHh5enEoXXEpKEdAEwC5ypGjLUc//V8DgBY8Q0c//9noKGC4XGV1fXEqKGgdXXErfXEsKGggaCFoIksBdWFoI11xLShHP9Dqau1evaZHP9o7jAe1q/RHP7nvzFYvYZdlaBh9cS5oJkcAAAAAAAAAAHNoJ2ghaChdcS8oRz/xlWGA3oRjR0ACAi5vxjt2R7/mpqZGfQ9fZXV9cTAoaB1dcTF9cTIoaCBoIWgiSwF1YWgjXXEzKEc/6sjEFBaNYEc/yIDOG6xY5Ec/ue/MVi9hl2VoGH1xNGgmRwAAAAAAAAAAc2gnaCFoKF1xNShHQBH0piwpu/xHP/DLx5+54KhHv/gQ/uL8KahldX1xNihoHV1xN31xOChoIGghaCJLAXVhaCNdcTkoRz/mIDOG6xY5Rz/odTV2r17TRz/jPfmKxewzZWgYfXE6aCZHAAAAAAAAAABzaCdoIWgoXXE7KEdACSqMUQRBA0dAEL3yAlKpm0c/+Fb7VChVgGV1fXE8KGgdXXE9fXE+KGggaCFoIksBdWFoI11xPyhHP9O/mPIp045HP84rKiVChLVHP9mEDOp0J5plaBh9cUBoJkcAAAAAAAAAAHNoJ2ghaChdcUEoRz/38HzRO8NQRz/0jSw0tURvRz//Rt6ZSV12ZXV9cUIoaB1dcUN9cUQoaCBoIWgiSwF1YWgjXXFFKEc/xNzvr6XKf0c/6d/MeRTpx0c/7MIGdToTzWVoGH1xRmgmRwAAAAAAAAAAc2gnaCFoKF1xRyhHP8OX5hTqqxxHQBGuSyeRgo1HQBPrtjQbdyhldX1xSChoHV1xSX1xSihoIGghaCJLAXVhaCNdcUsoRz/nisqJUKEtRz/i4jn8JSoGRz/swgZ1OhPNZWgYfXFMaCZHAAAAAAAAAABzaCdoIWgoXXFNKEdADFgZ+TLgeEdACcBLrzm59kdAELxLRCwOqmV1fXFOKGgdXXFPfXFQKGggaCFoIksBdWFoI11xUShHP7cRz+EpUDBHP+U3O+vpcqBHP9mEDOp0J5plaBh9cVJoJkcAAAAAAAAAAHNoJ2ghaChdcVMoR7+71RtwJHYiR0ANEvhe9NdLRz/3w/HFEPqaZXV9cVQoaB1dcVV9cVYoaCBYAgAAAFJicVdoIksBdWFoI11xWChHP+QAAAAAAABHP+wAAAAAAABHP9AAAAAAAABlaBh9cVloJkcAAAAAAAAAAHNoJ1gCAAAAUmJxWmgoXXFbKEdABXiXDfkR+0dAEzfHa6Ro1Ue/9g/lJl/mGmV1fXFcKGgdXXFdfXFeKGggaFdoIksBdWFoI11xXyhHP9gAAAAAAABHP8AAAAAAAABHP+gAAAAAAABlaBh9cWBoJkcAAAAAAAAAAHNoJ1gCAAAAUmJxYWgoXXFiKEc//1RnV1IhYEc/5UutHtyPDEdAE2tvxPRmRGV1fXFjKGgdXXFkfXFlKGggWAIAAABSZXFmaCJLAXVhaCNdcWcoRz/AAAAAAAAARz/YAAAAAAAARz/QAAAAAAAAZWgYfXFoaCZHAAAAAAAAAABzaCdYAgAAAFJlcWloKF1xaihHP9ZueQ3d5CJHQABwaD1WIclHP+vO7N3kTEZldX1xayhoHV1xbH1xbShoIGhmaCJLAXVhaCNdcW4oRz/sAAAAAAAARz/kAAAAAAAARz/oAAAAAAAAZWgYfXFvaCZHAAAAAAAAAABzaCdYAgAAAFJlcXBoKF1xcShHQBEqfcvzMxNHQAtSEeGp06NHQATbMb8/xmpldWV1WAYAAAB0YXJnZXRxckdAEHnA6+36RHUuUEsHCESBxqCXBwAAlwcAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgAhAG1iLW1wLWdhcC0xMDE5NTMvYnl0ZW9yZGVyRkIdAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpabGl0dGxlUEsHCIU94xkGAAAABgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGAA0AG1iLW1wLWdhcC0xMDE5NTMvdmVyc2lvbkZCMABaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlozClBLBwjRnmdVAgAAAAIAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAACcAKQBtYi1tcC1nYXAtMTAxOTUzLy5kYXRhL3NlcmlhbGl6YXRpb25faWRGQiUAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjA2MzY0NTc3Mzc5NDY0MDEwNTEzMDAwMDAwMjI4MjQwNDE5MjM1MTRQSwcIEXeoNCgAAAAoAAAAUEsBAgAAAAAICAAAAAAAAESBxqCXBwAAlwcAABkAAAAAAAAAAAAAAAAAAAAAAG1iLW1wLWdhcC0xMDE5NTMvZGF0YS5wa2xQSwECAAAAAAgIAAAAAAAAhT3jGQYAAAAGAAAAGgAAAAAAAAAAAAAAAADnBwAAbWItbXAtZ2FwLTEwMTk1My9ieXRlb3JkZXJQSwECAAAAAAgIAAAAAAAA0Z5nVQIAAAACAAAAGAAAAAAAAAAAAAAAAABWCAAAbWItbXAtZ2FwLTEwMTk1My92ZXJzaW9uUEsBAgAAAAAICAAAAAAAABF3qDQoAAAAKAAAACcAAAAAAAAAAAAAAAAA0ggAAG1iLW1wLWdhcC0xMDE5NTMvLmRhdGEvc2VyaWFsaXphdGlvbl9pZFBLBgYsAAAAAAAAAB4DLQAAAAAAAAAAAAQAAAAAAAAABAAAAAAAAAAqAQAAAAAAAHgJAAAAAAAAUEsGBwAAAACiCgAAAAAAAAEAAABQSwUGAAAAAAQABAAqAQAAeAkAAAAA" | ./matbench_mp_gap/mb-mp-gap-101953 | /tmp/hf-datasets-cache/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-039450 | /tmp/hf-datasets-cache/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-063864 | /tmp/hf-datasets-cache/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-073339 | /tmp/hf-datasets-cache/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-014347 | /tmp/hf-datasets-cache/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-005859 | /tmp/hf-datasets-cache/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-070687 | /tmp/hf-datasets-cache/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-030445 | /tmp/hf-datasets-cache/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-009574 | /tmp/hf-datasets-cache/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-030498 | /tmp/hf-datasets-cache/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-100361 | /tmp/hf-datasets-cache/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-019672 | /tmp/hf-datasets-cache/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-013974 | /tmp/hf-datasets-cache/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-024909 | /tmp/hf-datasets-cache/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-093501 | /tmp/hf-datasets-cache/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-081324 | /tmp/hf-datasets-cache/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-000063 | /tmp/hf-datasets-cache/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-070146 | /tmp/hf-datasets-cache/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-090078 | /tmp/hf-datasets-cache/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-040109 | /tmp/hf-datasets-cache/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-061696 | /tmp/hf-datasets-cache/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-041832 | /tmp/hf-datasets-cache/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-105493 | /tmp/hf-datasets-cache/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.