pt unknown | __key__ stringlengths 12 34 | __url__ stringclasses 2 values |
|---|---|---|
"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" | ./matbench_mp_gap/mb-mp-gap-021366 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-085063 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-019181 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-039781 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-049879 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-033933 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-045169 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-003984 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-013980 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-047185 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-089033 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA4OTUxMS9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQAemxUfIQKFHAAAAAAAAAABHAAAAAAAAAABlXXENKEe/96bFSR/Zj0dABHuVzt7K0UcAAAAAAAAAAGVdcQ4oRwAAAAAAAAAARwAAAAAAAAAAR0AUZue96dr7ZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAB6bFR8hAoVgBAAAAYnESR0AHpsVIwCxhWAEAAABjcRNHQBRm573p2vtYBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAXgAAACF0QVgGAAAAdm9sdW1lcRdHQENN1d54Iy11WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABCZXEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP+VVVVcfdpNHP9VVVVHBEtpHP9fPGo+jS59laBh9cSVYBgAAAG1hZ21vbXEmRwAAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAAQmVxKFgDAAAAeHl6cSldcSooRz/3psVLTYq9Rz/rT3JklBYQRz/+XAJVibDdZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/1VVVUcES2kc/5VVVVx92k0c/5BhyuC5aMGVoGH1xL2gmRwAAAAAAAAAAc2gnWAIAAABCZXEwaCldcTEoR75Tc4wqAAAARz/7T3Jrc4qaR0AJn85RDt2HZXV9cTIoaB1dcTN9cTQoaCBYAQAAAE5xNWgiSwF1YWgjXXE2KEc/5VVVVx92k0c/1VVVUcES2kc/5xlMDB0ZwWVoGH1xN2gmRwAAAAAAAAAAc2gnaDVoKV1xOChHP/emxUtNir1HP+tPcmSUFhBHQA10LuNX929ldX1xOShoHV1xOn1xOyhoIGg1aCJLAXVhaCNdcTwoRz/VVVVRwRLaRz/lVVVXH3aTRz/RzWfnxcx9ZWgYfXE9aCZHAAAAAAAAAABzaCdoNWgpXXE+KEe+U3OMKgAAAEc/+09ya3OKmkc/9rNBMPd9DGV1fXE/KGgdXXFAfXFBKGggWAIAAABNZ3FCaCJLAXVhaCNdcUMoRwAAAAAAAAAARwAAAAAAAAAARwAAAAAAAAAAZWgYfXFEaCZHAAAAAAAAAABzaCdYAgAAAE1ncUVoKV1xRihHAAAAAAAAAABHAAAAAAAAAABHAAAAAAAAAABldWV1WAYAAAB0YXJnZXRxR0dAEENG3F1jiXUuUEsHCEZtyW95BAAAeQQAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgA/AG1iLW1wLWdhcC0wODk1MTEvYnl0ZW9yZGVyRkI7AFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpabGl0dGxlUEsHCIU94xkGAAAABgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGAA0AG1iLW1wLWdhcC0wODk1MTEvdmVyc2lvbkZCMABaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlozClBLBwjRnmdVAgAAAAIAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAACcAKQBtYi1tcC1nYXAtMDg5NTExLy5kYXRhL3NlcmlhbGl6YXRpb25faWRGQiUAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjA2MzY0NTc3Mzc5NDY0MDEwNTEzMDAwMDAwMTg4NzUxMDYwNjA1MDRQSwcIAL60YygAAAAoAAAAUEsBAgAAAAAICAAAAAAAAEZtyW95BAAAeQQAABkAAAAAAAAAAAAAAAAAAAAAAG1iLW1wLWdhcC0wODk1MTEvZGF0YS5wa2xQSwECAAAAAAgIAAAAAAAAhT3jGQYAAAAGAAAAGgAAAAAAAAAAAAAAAADJBAAAbWItbXAtZ2FwLTA4OTUxMS9ieXRlb3JkZXJQSwECAAAAAAgIAAAAAAAA0Z5nVQIAAAACAAAAGAAAAAAAAAAAAAAAAABWBQAAbWItbXAtZ2FwLTA4OTUxMS92ZXJzaW9uUEsBAgAAAAAICAAAAAAAAAC+tGMoAAAAKAAAACcAAAAAAAAAAAAAAAAA0gUAAG1iLW1wLWdhcC0wODk1MTEvLmRhdGEvc2VyaWFsaXphdGlvbl9pZFBLBgYsAAAAAAAAAB4DLQAAAAAAAAAAAAQAAAAAAAAABAAAAAAAAAAqAQAAAAAAAHgGAAAAAAAAUEsGBwAAAACiBwAAAAAAAAEAAABQSwUGAAAAAAQABAAqAQAAeAYAAAAA" | ./matbench_mp_gap/mb-mp-gap-089511 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA5NTA2Ni9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQBxS8d5UM7RHv3bPuA6ks35Hv16fEf6FK6NlXXENKEdACoHCPiiErkdAHZ5Uom6qWEe/jKdhrkXOFWVdcQ4oR0AIppO8NPoIRz/8aT5tIxkKR0Agq48BD0mfZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAHFLygdridFgBAAAAYnESR0AgOWtiTReQWAEAAABjcRNHQCIfyFHL54FYBQAAAGFscGhhcRRHQFHkdBhuW8JYBAAAAGJldGFxFUdAUYlUHi0YJVgFAAAAZ2FtbWFxFkdAUHwGljGK/FgGAAAAdm9sdW1lcRdHQHtWMkH9QNR1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABIb3EhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP9CHlw2jK79HP9D0vk2uCLxHP8nZW3t7zFRlaBh9cSVYBgAAAG1hZ21vbXEmRwAAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAASG9xKFgDAAAAeHl6cSldcSooR0AKoa+D68/IR0ACjSYPOXf8Rz/63VyE8D5sZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/1VvQ1nG8MEc/51AgTn8UB0c/4t60CrQOD2VoGH1xL2gmRwAAAAAAAAAAc2gnWAIAAABIb3EwaCldcTEoR0AaYEvR4EoVR0AZwkqcxH6RR0ATnfVNw+ldZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/5VIXlMch6Ec/0V+/YwHX8Uc/2kKX6pfj4mVoGH1xNmgmRwAAAAAAAAAAc2gnWAIAAABIb3E3aCldcTgoR0AbhtEJoqj6R0AF4Utl3pG4R0ALUdYkxz1PZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/57w0eS5qIUc/54Wg2Sj7okc/6YmpISEM62VoGH1xPWgmRwAAAAAAAAAAc2gnWAIAAABIb3E+aCldcT8oR0AkSyKMxoWWR0AbbF1IFwtvR0Aaj4k+63hpZXV9cUAoaB1dcUF9cUIoaCBYAgAAAFNlcUNoIksBdWFoI11xRChHP7zUFGnEadJHP88ToBroDcZHP+LDLB9Cu2ZlaBh9cUVoJkcAAAAAAAAAAHNoJ1gCAAAAU2VxRmgpXXFHKEdAC0ScboDM+0dABrS7GDs0hEdAE4ioFPsUjGV1fXFIKGgdXXFJfXFKKGggaENoIksBdWFoI11xSyhHP9thNtxgErpHP+jQoi7pd31HP8lJSPQ6pO1laBh9cUxoJkcAAAAAAAAAAHNoJ1gCAAAAU2VxTWgpXXFOKEdAGNRotj7cUUdAGFyexP4wFkc/+iizE+wGBmV1fXFPKGgdXXFQfXFRKGggaENoIksBdWFoI11xUihHP8KpvDwF6qZHP+gWuiu1ZX1HP+7ijQ2aHHZlaBh9cVNoJkcAAAAAAAAAAHNoJ1gCAAAAU2VxVGgpXXFVKEdAGgCjiSZSGEdAHSXnihghukdAIBFS/WrCCWV1fXFWKGgdXXFXfXFYKGggaENoIksBdWFoI11xWShHP+tVkPD+hVdHP8+lF1EqagxHP6HXLyZeOJplaBh9cVpoJkcAAAAAAAAAAHNoJ1gCAAAAU2VxW2gpXXFcKEdAG+Z5Ulyg+Ec//jQjFm6W0Uc/0kOmVSA/HGV1fXFdKGgdXXFefXFfKGggaENoIksBdWFoI11xYChHP+JPZJHP9qNHP8y9d0RaIgpHP+mtrcLxVsVlaBh9cWFoJkcAAAAAAAAAAHNoJ1gCAAAAU2VxYmgpXXFjKEdAHRK0JUQWvkdACKyjFWsur0dAGryzmyyGg2V1fXFkKGgdXXFlfXFmKGggaENoIksBdWFoI11xZyhHP+xlfXLHcsZHP+g7F/lF/I9HP9p5p8F6iTNlaBh9cWhoJkcAAAAAAAAAAHNoJ1gCAAAAU2VxaWgpXXFqKEdAJCJnUiFGSUdAGViSw5YtLEdAC3xwlljm7mV1fXFrKGgdXXFsfXFtKGggWAEAAABPcW5oIksBdWFoI11xbyhHP8QkzX9PQIVHP4y+CTqRS2xHP+T6J2jPoj9laBh9cXBoJkcAAAAAAAAAAHNoJ2huaCldcXEoR0AJckETUXuFRz/0RfAgZchFR0AV2pPXWTLcZXV9cXIoaB1dcXN9cXQoaCBobmgiSwF1YWgjXXF1KEc/xU9E9yrvQkc/4irOVQ0iqEc/vtqogpWcCWVoGH1xdmgmRwAAAAAAAAAAc2gnaG5oKV1xdyhHQAtzUiR09SpHQBGq4cAhaohHP+/h3rp2ivhldX1xeChoHV1xeX1xeihoIGhuaCJLAXVhaCNdcXsoRz+h19M7JfDVRz/mhKNNd4IYRz/hu4KdKMVGZWgYfXF8aCZHAAAAAAAAAABzaCdobmgpXXF9KEdAESSz2QHbu0dAGMcEm6SVpEdAEm9/HzGifGV1fXF+KGgdXXF/fXGAKGggaG5oIksBdWFoI11xgShHP9YAwC7ZsjhHP9A+WLX5oZdHP9vvHpEPslBlaBh9cYJoJkcAAAAAAAAAAHNoJ2huaCldcYMoR0ASeynHRVkyR0AFODnRmXm/R0ANEg0vKqepZXV9cYQoaB1dcYV9cYYoaCBobmgiSwF1YWgjXXGHKEc/sPjSjy6Gpkc/5kAfalOF5Ec/6puc2WoUG2VoGH1xiGgmRwAAAAAAAAAAc2gnaG5oKV1xiShHQBVXfCqdTvVHQBp/vhMmdOJHQBuu0wv926BldX1xiihoHV1xi31xjChoIGhuaCJLAXVhaCNdcY0oRz/i98N14QK6Rz/SWWp/erR8Rz/DLgX3u7jTZWgYfXGOaCZHAAAAAAAAAABzaCdobmgpXXGPKEdAFm+EWgsko0dAAxX7AvzAmEc/8+a1aAiOyGV1fXGQKGgdXXGRfXGSKGggaG5oIksBdWFoI11xkyhHP9ZIJIby+NtHP8qi2yFOWVRHP+5WfE4ERN5laBh9cZRoJkcAAAAAAAAAAHNoJ2huaCldcZUoR0AYTeAeIGbiR0AJx3HgBVGcR0AfmCH39yV2ZXV9cZYoaB1dcZd9cZgoaCBobmgiSwF1YWgjXXGZKEc/1vUWjTUyPEc/7jPf9qAv4Uc/05je9Ba9smVoGH1xmmgmRwAAAAAAAAAAc2gnaG5oKV1xmyhHQBpxdIjRa3ZHQB4fLie0Y2xHQAROlQ1cs9lldX1xnChoHV1xnX1xnihoIGhuaCJLAXVhaCNdcZ8oRz/giT2r3RMWRz/i+lmoPPV/Rz/WedLfi2tZZWgYfXGgaCZHAAAAAAAAAABzaCdobmgpXXGhKEdAGtM4u5yQZEdAFAxlo1rPaUdAB1fZEQP81GV1fXGiKGgdXXGjfXGkKGggaG5oIksBdWFoI11xpShHP97thKhF2dRHP9oLTK+GFQJHP+TDFpA6SlRlaBh9caZoJkcAAAAAAAAAAHNoJ2huaCldcacoR0AbE+Qf5mKrR0AQpoqsWPgER0AVmvPXpYmbZXV9cagoaB1dcal9caooaCBobmgiSwF1YWgjXXGrKEc/5IV0uWVm4kc/rMIAlf0B9Ec/5jOQhfShJ2VoGH1xrGgmRwAAAAAAAAAAc2gnaG5oKV1xrShHQBt1qFKxh5pHP/pPCJ/9kAlHQBcfldl5LhdldX1xrihoHV1xr31xsChoIGhuaCJLAXVhaCNdcbEoRz/k2+28hoOSRz/pV0k3rGmrRz+qmDsfu7IdZWgYfXGyaCZHAAAAAAAAAABzaCdobmgpXXGzKEdAHZk8vWKMLEdAF883X7EeoEc/2uvmgwYo7GV1fXG0KGgdXXG1fXG2KGggaG5oIksBdWFoI11xtyhHP9oQeRQ9+oxHP+bTSsBCpcJHP+s0foIREctlaBh9cbhoJkcAAAAAAAAAAHNoJ2huaCldcbkoR0Afd5iBd85sR0AbJ/LONWciR0AcTTMGJWRSZXV9cbooaB1dcbt9cbwoaCBobmgiSwF1YWgjXXG9KEc/7eDlrhovK0c/03/BK1j0OEc/xZGMmlevlGVoGH1xvmgmRwAAAAAAAAAAc2gnaG5oKV1xvyhHQCBH0Fhy0g1HQARmZHkapRZHP/ZgNVCmsZFldX1xwChoHV1xwX1xwihoIGhuaCJLAXVhaCNdccMoRz/k/5/okybkRz/n4NOlAy80Rz/iCHC3eCbYZWgYfXHEaCZHAAAAAAAAAABzaCdobmgpXXHFKEdAIbX5ih7M7kdAGhbTZucKjkdAEr3ZyJI0MGV1fXHGKGgdXXHHfXHIKGggaG5oIksBdWFoI11xyShHP+7igsxNoPNHP9L2uWUQ+9FHP9yI+sWudXRlaBh9ccpoJkcAAAAAAAAAAHNoJ2huaCldccsoR0AiYTSBQIuqR0AH19doHmOUR0ANrsKB68sQZXV9ccwoaB1dcc19cc4oaCBobmgiSwF1YWgjXXHPKEc/6qwuwjVEMEc/26pjVeW6r0c/7CSq761Mf2VoGH1x0GgmRwAAAAAAAAAAc2gnaG5oKV1x0ShHQCQWueSkPD1HQBMIDo+SXOVHQB1KpIjYtqZldX1x0ihoHV1x031x1ChoIGhuaCJLAXVhaCNdcdUoRz/q9sygLC/fRz/vjQfbFbrSRz/WC7EuYLuCZWgYfXHWaCZHAAAAAAAAAABzaCdobmgpXXHXKEdAJJb+KO0apkdAH6F0R5pVXEdABtiZEZyqT2V1ZXVYBgAAAHRhcmdldHHYR0APexW1c+qzdS5QSwcIrrZfT9EOAADRDgAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAaACcAbWItbXAtZ2FwLTA5NTA2Ni9ieXRlb3JkZXJGQiMAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpsaXR0bGVQSwcIhT3jGQYAAAAGAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAYADQAbWItbXAtZ2FwLTA5NTA2Ni92ZXJzaW9uRkIwAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjMKUEsHCNGeZ1UCAAAAAgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAJwApAG1iLW1wLWdhcC0wOTUwNjYvLmRhdGEvc2VyaWFsaXphdGlvbl9pZEZCJQBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMDYzNjQ1NzczNzk0NjQwMTA1MTMwMDAwMDAxNjUwMDc3OTU3ODAwNlBLBwjIXqQHKAAAACgAAABQSwECAAAAAAgIAAAAAAAArrZfT9EOAADRDgAAGQAAAAAAAAAAAAAAAAAAAAAAbWItbXAtZ2FwLTA5NTA2Ni9kYXRhLnBrbFBLAQIAAAAACAgAAAAAAACFPeMZBgAAAAYAAAAaAAAAAAAAAAAAAAAAACEPAABtYi1tcC1nYXAtMDk1MDY2L2J5dGVvcmRlclBLAQIAAAAACAgAAAAAAADRnmdVAgAAAAIAAAAYAAAAAAAAAAAAAAAAAJYPAABtYi1tcC1nYXAtMDk1MDY2L3ZlcnNpb25QSwECAAAAAAgIAAAAAAAAyF6kBygAAAAoAAAAJwAAAAAAAAAAAAAAAAASEAAAbWItbXAtZ2FwLTA5NTA2Ni8uZGF0YS9zZXJpYWxpemF0aW9uX2lkUEsGBiwAAAAAAAAAHgMtAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAACoBAAAAAAAAuBAAAAAAAABQSwYHAAAAAOIRAAAAAAAAAQAAAFBLBQYAAAAABAAEACoBAAC4EAAAAAA=" | ./matbench_mp_gap/mb-mp-gap-095066 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-074599 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-041354 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-100552 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-085192 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-088133 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-095640 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-048127 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-003095 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-071586 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-100895 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA4OTkxNC9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQBgCYn0iwHRHAAAAAAAAAABHAAAAAAAAAABlXXENKEfACAJifHbz/UdAFMrs4T9KmUcAAAAAAAAAAGVdcQ4oRwAAAAAAAAAARwAAAAAAAAAAR0A+BQkPHVRPZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAGAJifSLAdFgBAAAAYnESR0AYAmJ9C+vnWAEAAABjcRNHQD4FCQ8dVE9YBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAXf///8ywNFgGAAAAdm9sdW1lcRdHQI1FLcLnDBh1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAEAAABPcSFYBAAAAG9jY3VxIksBdWFYAwAAAGFiY3EjXXEkKEc/3tKULEdbtEc/7tKUMaW/bUc/6AAAAAAAAGVoGH1xJVgFAAAAbGFiZWxxJmghWAMAAAB4eXpxJ11xKChHvlsNt/AAAABHQBQHEhB7hH5HQDaDxstV/ztldX1xKShoHV1xKn1xKyhoIGghaCJLAXVhaCNdcSwoRz/glrXp3FImRz/e0pQsR1u0Rz/QAAAAAAAAZWgYfXEtaCZoIWgnXXEuKEc/+qjYfX4lxkdABAcSDP56l0dAHgUJDx1UT2V1fXEvKGgdXXEwfXExKGggaCFoIksBdWFoI11xMihHP+7SlDGlv21HP97SlCxHW7RHP9AAAAAAAABlaBh9cTNoJmghaCddcTQoR0ARWCxiHSVWR0AEBxIM/nqXR0AeBQkPHVRPZXV9cTUoaB1dcTZ9cTcoaCBoIWgiSwF1YWgjXXE4KEc/ota85aQJNEc/4Ja16dxSJkc/6AAAAAAAAGVoGH1xOWgmaCFoJ11xOihHv/Vb7IzXe4FHQAWOx7WAGptHQDaDxstV/ztldX1xOyhoHV1xPH1xPShoIGghaCJLAXVhaCNdcT4oRz/e0pQsR1u0Rz/glrXp3FImRz/oAAAAAAAAZWgYfXE/aCZoIWgnXXFAKEc/9Vvsfh70EEdABY7HtYAam0dANoPGy1X/O2V1fXFBKGgdXXFCfXFDKGggaCFoIksBdWFoI11xRChHP+CWtencUiZHP6LWvOWkCTRHP9AAAAAAAABlaBh9cUVoJmghaCddcUYoR0AIAmKBMEPpRz/Ie1oYeMNjR0AeBQkPHVRPZXV9cUcoaB1dcUh9cUkoaCBoIWgiSwF1YWgjXXFKKEc/1oB8Rvhh/Ec/xoB8PDuai0c/1SMyE/lcImVoGH1xS2gmaCFoJ11xTChHP/lTD8H6E+VHP+09/o+zP/5HQCPUUm5u2gRldX1xTShoHV1xTn1xTyhoIGghaCJLAXVhaCNdcVAoRz/qX+Dw8RldRz/GgHw8O5qLRz/VIzIT+VwiZWgYfXFRaCZoIWgnXXFSKEdAEa2ekMmgSUc/7T3+j7M//kdAI9RSbm7aBGV1fXFTKGgdXXFUfXFVKGggaCFoIksBdWFoI11xVihHP+pf4PDxGV1HP+S/wdyDzwJHP9UjMhP5XCJlaBh9cVdoJmghaCddcVgoR0AIAmKBmVbyR0AK9tpzquFmR0Aj1FJubtoEZXV9cVkoaB1dcVp9cVsoaCBoIWgiSwF1YWgjXXFcKEc/xoB8PDuai0c/1oB8Rvhh/Ec/6pGZCfyuEWVoGH1xXWgmaCFoJ11xXihHvl5WUDwAAABHP/09/p2nZ5hHQDjsrb7GFylldX1xXyhoHV1xYH1xYShoIGghaCJLAXVhaCNdcWIoRz/kv8Hcg88CRz/qX+Dw8RldRz/lbmb2A1HvZWgYfXFjaCZoIWgnXXFkKEc/9rG1OaMF8kdAESMtD0jimUdANBrf1+XnTWV1fXFlKGgdXXFmfXFnKGggaCFoIksBdWFoI11xaChHP+S/wdyDzwJHP+pf4PDxGV1HP+qRmQn8rhFlaBh9cWloJmghaCddcWooRz/2sbU5owXyR0ARIy0PSOKZR0A47K2+xhcpZXV9cWsoaB1dcWx9cW0oaCBoIWgiSwF1YWgjXXFuKEc/xoB8PDuai0c/6l/g8PEZXUc/6pGZCfyuEWVoGH1xb2gmaCFoJ11xcChHv/axtUeJZ05HQBEjLQ9I4plHQDjsrb7GFylldX1xcShoHV1xcn1xcyhoIGghaCJLAXVhaCNdcXQoRz/qX+Dw8RldRz/kv8Hcg88CRz/FuZvYDUe8ZWgYfXF1aCZoIWgnXXF2KEdACAJigZlW8kdACvbac6rhZkdAFGFtQVz0l2V1fXF3KGgdXXF4fXF5KGggaCFoIksBdWFoI11xeihHP+pf4PDxGV1HP8aAfDw7motHP8W5m9gNR7xlaBh9cXtoJmghaCddcXwoR0ARrZ6QyaBJRz/tPf6Psz/+R0AUYW1BXPSXZXV9cX0oaB1dcX59cX8oaCBoIWgiSwF1YWgjXXGAKEc/xoB8PDuai0c/6l/g8PEZXUc/5W5m9gNR72VoGH1xgWgmaCFoJ11xgihHv/axtUeJZ05HQBEjLQ9I4plHQDQa39fl501ldX1xgyhoHV1xhH1xhShoIGghaCJLAXVhaCNdcYYoRz/GgHw8O5qLRz/WgHxG+GH8Rz/lbmb2A1HvZWgYfXGHaCZoIWgnXXGIKEe+XlZQPAAAAEc//T3+nadnmEdANBrf1+XnTWV1fXGJKGgdXXGKfXGLKGggaCFoIksBdWFoI11xjChHP9aAfEb4YfxHP8aAfDw7motHP8W5m9gNR7xlaBh9cY1oJmghaCddcY4oRz/5Uw/B+hPlRz/tPf6Psz/+R0AUYW1BXPSXZXV9cY8oaB1dcZB9cZEoaCBoIWgiSwF1YWgjXXGSKEc/5Tz9kbupukc/6p5+y40GuUc/2wtVHb6szmVoGH1xk2gmaCFoJ11xlChHP/fLl5DnCYhHQBFL3MvjPT1HQCle4TklcZVldX1xlShoHV1xln1xlyhoIGghaCJLAXVhaCNdcZgoRz/FhgTRy+UbRz/qnn7LjQa5Rz/bC1UdvqzOZWgYfXGZaCZoIWgnXXGaKEe/98uXnsgqNEdAEUvcy+M9PUdAKV7hOSVxlWV1fXGbKGgdXXGcfXGdKGggaCFoIksBdWFoI11xnihHP8WGBNHL5RtHP9WGBNyIrIxHP9sLVR2+rM5laBh9cZ9oJmghaCddcaAoR75ea1L0AAAARz/7+IC41JJ7R0ApXuE5JXGVZXV9caEoaB1dcaJ9caMoaCBoIWgiSwF1YWgjXXGkKEc/6p5+y40GuUc/5Tz9kbupukc/7YWqjt9WZ2VoGH1xpWgmaCFoJ11xpihHQAgCYoGb90hHQAuZmWYUS/RHQDux9SQhYvJldX1xpyhoHV1xqH1xqShoIGghaCJLAXVhaCNdcaooRz/VhgTciKyMRz/FhgTRy+UbRz/ielVxIKmZZWgYfXGraCZoIWgnXXGsKEc/+DktarYQT0c/6/iAquBq4UdAMVWYcoqbhGV1fXGtKGgdXXGufXGvKGggaCFoIksBdWFoI11xsChHP9WGBNyIrIxHP8WGBNHL5RtHP+2Fqo7fVmdlaBh9cbFoJmghaCddcbIoRz/4OS1qthBPRz/r+ICq4GrhR0A7sfUkIWLyZXV9cbMoaB1dcbR9cbUoaCBoIWgiSwF1YWgjXXG2KEc/1VVVUcES2kc/5VVVVx92k0c/79u+d3SAsGVoGH1xt2gmaCFoJ11xuChHvlylR0AAAABHQAu5O9lSahFHQD3jBeqZqM5ldX1xuShoHV1xun1xuyhoIGghaCJLAXVhaCNdcbwoRz/lVVVXH3aTRz/VVVVRwRLaRz/ft3zu6QFhZWgYfXG9aCZoIWgnXXG+KEdACAJigWM10kc/+7k70lhWQ0dALcECxhX9TmV1fXG/KGgdXXHAfXHBKGggaCFoIksBdWFoI11xwihHP+VVVVcfdpNHP9VVVVHBEtpHP3IgxEW/p8tlaBh9ccNoJmghaCddccQoR0AIAmKBYzXSRz/7uTvSWFZDRz/BAZJB1cBUZXV9ccUoaB1dccZ9cccoaCBoIWgiSwF1YWgjXXHIKEc/1VVVUcES2kc/5VVVVx92k0c/4CRBiIt/UGVoGH1xyWgmaCFoJ11xyihHvlylR0AAAABHQAu5O9lSahFHQC5JD1gkq1FldX1xyyhoHV1xzH1xzShoIGghaCJLAXVhaCNdcc4oRz/lPP2Ru6m6Rz/qnn7LjQa5Rz+z0quJBUzGZWgYfXHPaCZoIWgnXXHQKEc/98uXkOcJiEdAEUvcy+M9PUdAApifV9+K5WV1fXHRKGgdXXHSfXHTKGggaCFoIksBdWFoI11x1ChHP+qefsuNBrlHP+U8/ZG7qbpHP+J6VXEgqZllaBh9cdVoJmghaCddcdYoR0AIAmKBm/dIR0ALmZlmFEv0R0AxVZhyipuEZXV9cdcoaB1dcdh9cdkoaCBoIWgiSwF1YWgjXXHaKEc/6p5+y40GuUc/xYYE0cvlG0c/4npVcSCpmWVoGH1x22gmaCFoJ11x3ChHQBH0FyaZUQJHP+v4gKrgauFHQDFVmHKKm4RldX1x3ShoHV1x3n1x3yhoIGghaCJLAXVhaCNdceAoRz/FhgTRy+UbRz/qnn7LjQa5Rz+z0quJBUzGZWgYfXHhaCZoIWgnXXHiKEe/98uXnsgqNEdAEUvcy+M9PUdAApifV9+K5WV1fXHjKGgdXXHkfXHlKGggaCFoIksBdWFoI11x5ihHP8WGBNHL5RtHP9WGBNyIrIxHP7PSq4kFTMZlaBh9cedoJmghaCddcegoR75ea1L0AAAARz/7+IC41JJ7R0ACmJ9X34rlZXV9cekoaB1dcep9cesoaCBoIWgiSwF1YWgjXXHsKEc/6p5+y40GuUc/xYYE0cvlG0c/7YWqjt9WZ2VoGH1x7WgmaCFoJ11x7ihHQBH0FyaZUQJHP+v4gKrgauFHQDux9SQhYvJldX1x7yhoHV1x8H1x8ShoIFgCAAAAVGlx8mgiSwF1YWgjXXHzKEc/5VVVVx92k0c/1VVVUcES2kc/0vQ5N9oL+2VoGH1x9GgmWAIAAABUaXH1aCddcfYoR0AIAmKBYzXSRz/7uTvSWFZDR0Ahx/Eq8RcYZXV9cfcoaB1dcfh9cfkoaCBo8mgiSwF1YWgjXXH6KEc/1VVVUcES2kc/5VVVVx92k0c/6Xocm+0F/WVoGH1x+2gmWAIAAABUaXH8aCddcf0oR75cpUdAAAAAR0ALuTvZUmoRR0A35n0dBzWzZXV9cf4oaB1dcf99cgABAAAoaCBo8mgiSwF1YWgjXXIBAQAAKEc/1VVVUcES2kc/5VVVVx92k0c/5oXjZBL6A2VoGH1yAgEAAGgmWAIAAABUaXIDAQAAaCddcgQBAAAoR75cpUdAAAAAR0ALuTvZUmoRR0A1IRB5pMjDZXV9cgUBAAAoaB1dcgYBAAB9cgcBAAAoaCBo8mgiSwF1YWgjXXIIAQAAKEc/5VVVVx92k0c/1VVVUcES2kc/yheNkEvoC2VoGH1yCQEAAGgmWAIAAABUaXIKAQAAaCddcgsBAAAoR0AIAmKBYzXSRz/7uTvSWFZDR0AYei/IWHpuZXV9cgwBAAAoaB1dcg0BAAB9cg4BAAAoaCBo8mgiSwF1YWgjXXIPAQAAKEc/5VVVVx92k0c/1VVVUcES2kc/4cBsFlOpdWVoGH1yEAEAAGgmWAIAAABUaXIRAQAAaCddchIBAAAoR0AIAmKBYzXSRz/7uTvSWFZDR0AwpzBsUsoJZXV9chMBAAAoaB1dchQBAAB9chUBAAAoaCBo8mgiSwF1YWgjXXIWAQAAKEc/5VVVVx92k0c/1VVVUcES2kc/7j+T6axWi2VoGH1yFwEAAGgmWAIAAABUaXIYAQAAaCddchkBAAAoR0AIAmKBYzXSRz/7uTvSWFZDR0A8YF0qWTRtZXV9choBAAAoaB1dchsBAAB9chwBAAAoaCBo8mgiSwF1YWgjXXIdAQAAKEc/1VVVUcES2kc/5VVVVx92k0c/rAbBZTqXVmVoGH1yHgEAAGgmWAIAAABUaXIfAQAAaCddciABAAAoR75cpUdAAAAAR0ALuTvZUmoRRz/6Sr5MQf4eZXV9ciEBAAAoaB1dciIBAAB9ciMBAAAoaCBo8mgiSwF1YWgjXXIkAQAAKEc/1VVVUcES2kc/5VVVVx92k0c/3H8n01itFWVoGH1yJQEAAGgmWAIAAABUaXImAQAAaCddcicBAAAoR75cpUdAAAAAR0ALuTvZUmoRR0Aqu7FFlRSLZXV9cigBAAAoaB1dcikBAAB9cioBAAAoaCBYAQAAAFlyKwEAAGgiSwF1YWgjXXIsAQAAKEcAAAAAAAAAAEcAAAAAAAAAAEc/5A9YTR4V62VoGH1yLQEAAGgmaisBAABoJ11yLgEAAChHAAAAAAAAAABHAAAAAAAAAABHQDLRitviqxZldX1yLwEAAChoHV1yMAEAAH1yMQEAAChoIGorAQAAaCJLAXVhaCNdcjIBAAAoRwAAAAAAAAAARwAAAAAAAAAARz/r8Key4eoVZWgYfXIzAQAAaCZqKwEAAGgnXXI0AQAAKEcAAAAAAAAAAEcAAAAAAAAAAEdAOjYCuslTYGV1fXI1AQAAKGgdXXI2AQAAfXI3AQAAKGggaisBAABoIksBdWFoI11yOAEAAChHAAAAAAAAAABHAAAAAAAAAABHP9fhT2XD1CtlaBh9cjkBAABoJmorAQAAaCddcjoBAAAoRwAAAAAAAAAARwAAAAAAAAAAR0AmZvxmdVJzZXV9cjsBAAAoaB1dcjwBAAB9cj0BAAAoaCBqKwEAAGgiSwF1YWgjXXI+AQAAKEcAAAAAAAAAAEcAAAAAAAAAAEc/wD1hNHhXq2VoGH1yPwEAAGgmaisBAABoJ11yQAEAAChHAAAAAAAAAABHAAAAAAAAAABHQA54MqKgB3RldX1yQQEAAChoHV1yQgEAAH1yQwEAAChoIFgCAAAAQmFyRAEAAGgiSwF1YWgjXXJFAQAAKEc/5VVVVx92k0c/1VVVUcES2kc/6hhl8qMgK2VoGH1yRgEAAGgmWAIAAABCYXJHAQAAaCddckgBAAAoR0AIAmKBYzXSRz/7uTvSWFZDR0A4evrGlt6KZXV9ckkBAAAoaB1dckoBAAB9cksBAAAoaCBqRAEAAGgiSwF1YWgjXXJMAQAAKEc/1VVVUcES2kc/5VVVVx92k0c/x55oNXN/VGVoGH1yTQEAAGgmWAIAAABCYXJOAQAAaCddck8BAAAoR75cpUdAAAAAR0ALuTvZUmoRR0AWKDkiGdcVZXV9clABAAAoaB1dclEBAAB9clIBAAAoaCBqRAEAAGgiSwF1YWgjXXJTAQAAKEc/5VVVVx92k0c/1VVVUcES2kc/2kPQz7u/iWVoGH1yVAEAAGgmWAIAAABCYXJVAQAAaCddclYBAAAoR0AIAmKBYzXSRz/7uTvSWFZDR0Aoo7XK2w/dZXV9clcBAAAoaB1dclgBAAB9clkBAAAoaCBqRAEAAGgiSwF1YWgjXXJaAQAAKEc/1VVVUcES2kc/5VVVVx92k0c/7SHoZ93fxWVoGH1yWwEAAGgmWAIAAABCYXJcAQAAaCddcl0BAAAoR75cpUdAAAAAR0ALuTvZUmoRR0A7VF9s/DIWZXV9cl4BAAAoaB1dcl8BAAB9cmABAAAoaCBqRAEAAGgiSwF1YWgjXXJhAQAAKEc/1VVVUcES2kc/5VVVVx92k0c/4t4XmCIgO2VoGH1yYgEAAGgmWAIAAABCYXJjAQAAaCddcmQBAAAoR75cpUdAAAAAR0ALuTvZUmoRR0Axsy4pr8xgZXV9cmUBAAAoaB1dcmYBAAB9cmcBAAAoaCBqRAEAAGgiSwF1YWgjXXJoAQAAKEc/5VVVVx92k0c/1VVVUcES2kc/tvC8wREB22VoGH1yaQEAAGgmWAIAAABCYXJqAQAAaCddcmsBAAAoR0AIAmKBYzXSRz/7uTvSWFZDR0AFhU0RCRHJZXV9cmwBAAAoaB1dcm0BAAB9cm4BAAAoaCBqRAEAAGgiSwF1YWgjXXJvAQAAKEcAAAAAAAAAAEcAAAAAAAAAAEc/4AAAAAAAAGVoGH1ycAEAAGgmWAIAAABCYXJxAQAAaCddcnIBAAAoRwAAAAAAAAAARwAAAAAAAAAAR0AuBQkPHVRPZXV9cnMBAAAoaB1dcnQBAAB9cnUBAAAoaCBqRAEAAGgiSwF1YWgjXXJ2AQAAKEcAAAAAAAAAAEcAAAAAAAAAAEcAAAAAAAAAAGVoGH1ydwEAAGgmWAIAAABCYXJ4AQAAaCddcnkBAAAoRwAAAAAAAAAARwAAAAAAAAAARwAAAAAAAAAAZXV9cnoBAAAoaB1dcnsBAAB9cnwBAAAoaCBqRAEAAGgiSwF1YWgjXXJ9AQAAKEc/1VVVUcES2kc/5VVVVx92k0c/1DDL5UZAVmVoGH1yfgEAAGgmWAIAAABCYXJ/AQAAaCddcoABAAAoR75cpUdAAAAAR0ALuTvZUmoRR0Ai8Ox+EGjFZXV9coEBAAAoaB1dcoIBAAB9coMBAAAoaCBqRAEAAGgiSwF1YWgjXXKEAQAAKEcAAAAAAAAAAEcAAAAAAAAAAEc/0AAAAAAAAGVoGH1yhQEAAGgmWAIAAABCYXKGAQAAaCddcocBAAAoRwAAAAAAAAAARwAAAAAAAAAAR0AeBQkPHVRPZXV9cogBAAAoaB1dcokBAAB9cooBAAAoaCBqRAEAAGgiSwF1YWgjXXKLAQAAKEcAAAAAAAAAAEcAAAAAAAAAAEc/6AAAAAAAAGVoGH1yjAEAAGgmWAIAAABCYXKNAQAAaCddco4BAAAoRwAAAAAAAAAARwAAAAAAAAAAR0A2g8bLVf87ZXV9co8BAAAoaB1dcpABAAB9cpEBAAAoaCBqRAEAAGgiSwF1YWgjXXKSAQAAKEc/5VVVVx92k0c/1VVVUcES2kc/5eeaDVzf1WVoGH1ykwEAAGgmWAIAAABCYXKUAQAAaCddcpUBAAAoR0AIAmKBYzXSRz/7uTvSWFZDR0A0jJLQFR/tZXVldVgGAAAAdGFyZ2V0cpYBAABHQAUpKjBVMmF1LlBLBwhjopNQkxsAAJMbAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABoAJQBtYi1tcC1nYXAtMDg5OTE0L2J5dGVvcmRlckZCIQBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpsaXR0bGVQSwcIhT3jGQYAAAAGAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAYADQAbWItbXAtZ2FwLTA4OTkxNC92ZXJzaW9uRkIwAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjMKUEsHCNGeZ1UCAAAAAgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAJwApAG1iLW1wLWdhcC0wODk5MTQvLmRhdGEvc2VyaWFsaXphdGlvbl9pZEZCJQBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMDYzNjQ1NzczNzk0NjQwMTA1MTMwMDAwMDAxNjYyMjk2MjI2NTIwOVBLBwgYYvhrKAAAACgAAABQSwECAAAAAAgIAAAAAAAAY6KTUJMbAACTGwAAGQAAAAAAAAAAAAAAAAAAAAAAbWItbXAtZ2FwLTA4OTkxNC9kYXRhLnBrbFBLAQIAAAAACAgAAAAAAACFPeMZBgAAAAYAAAAaAAAAAAAAAAAAAAAAAOMbAABtYi1tcC1nYXAtMDg5OTE0L2J5dGVvcmRlclBLAQIAAAAACAgAAAAAAADRnmdVAgAAAAIAAAAYAAAAAAAAAAAAAAAAAFYcAABtYi1tcC1nYXAtMDg5OTE0L3ZlcnNpb25QSwECAAAAAAgIAAAAAAAAGGL4aygAAAAoAAAAJwAAAAAAAAAAAAAAAADSHAAAbWItbXAtZ2FwLTA4OTkxNC8uZGF0YS9zZXJpYWxpemF0aW9uX2lkUEsGBiwAAAAAAAAAHgMtAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAACoBAAAAAAAAeB0AAAAAAABQSwYHAAAAAKIeAAAAAAAAAQAAAFBLBQYAAAAABAAEACoBAAB4HQAAAAA=" | ./matbench_mp_gap/mb-mp-gap-089914 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-037492 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-000062 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-040111 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-045650 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-086649 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-096652 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-054633 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-002989 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-102218 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-063301 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-075643 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-065927 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-099684 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-052869 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-090151 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-077927 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-054958 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-053666 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-008833 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-083401 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-041984 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-057187 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-011280 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-013351 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-051526 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA1MTk4NS9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQCJ7s88k68hHAAAAAAAAAABHAAAAAAAAAABlXXENKEfAEnuzzs8FjEdAIAHGTq5j1kcAAAAAAAAAAGVdcQ4oRwAAAAAAAAAARwAAAAAAAAAAR0AxTRfwt42gZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAInuzzyTryFgBAAAAYnESR0Aie7PY83pmWAEAAABjcRNHQDFNF/C3jaBYBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAXf//+3ZE3FgGAAAAdm9sdW1lcRdHQJP+tYQSvXV1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABDc3EhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP9VVU+9rXUZHP+VVVghKUV1HP90Md3zkLDplaBh9cSVYBgAAAG1hZ21vbXEmRwAAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAAQ3NxKFgDAAAAeHl6cSldcSooR77TXfhtAAAAR0AVV7PGnAUnR0AfaTZqr3yjZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/5VVWCEpRXUc/1VVT72tdRkc/7oY7vnIWHWVoGH1xL2gmRwAAAAAAAAAAc2gnWAIAAABDc3EwaCldcTEoR0ASe7UFWljTR0AFV7GtgYUKR0AwgNmTB6X5ZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/1VVT72tdRkc/5VVWCEpRXUc/p5xEGN6eMWVoGH1xNmgmRwAAAAAAAAAAc2gnWAIAAABDc3E3aCldcTgoR77TXfhtAAAAR0AVV7PGnAUnRz/ph8u1/PTqZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/5VVWCEpRXUc/1VVT72tdRkc/4XnEQY3p42VoGH1xPWgmRwAAAAAAAAAAc2gnWAIAAABDc3E+aCldcT8oR0ASe7UFWljTR0AFV7GtgYUKR0Ai5ZSsF1zvZXV9cUAoaB1dcUF9cUIoaCBYAQAAAFVxQ2giSwF1YWgjXXFEKEc/1VVT72tdRkc/5VVWCEpRXUc/6AAAAAAAAGVoGH1xRWgmRz/27ZFocrAhc2gnaENoKV1xRihHvtNd+G0AAABHQBVXs8acBSdHQCnzo+kTVHBldX1xRyhoHV1xSH1xSShoIGhDaCJLAXVhaCNdcUooRz/lVVYISlFdRz/VVVPva11GRz/QAAAAAAAAZWgYfXFLaCZHP/WNT987ZFpzaCdoQ2gpXXFMKEdAEnu1BVpY00dABVexrYGFCkdAEU0X8LeNoGV1fXFNKGgdXXFOfXFPKGggWAIAAABUYXFQaCJLAXVhaCNdcVEoRz/Ic49D1UHmRz+LbCidLSH3Rz/HZtl94CqjZWgYfXFSaCZHv6HrhR64UexzaCdYAgAAAFRhcVNoKV1xVChHP/tBnshfe+hHP7tvM0EHtyxHQAlOCRBXzulldX1xVShoHV1xVn1xVyhoIGhQaCJLAXVhaCNdcVgoRz/vkk9di0t4Rz/GvMy6Am/HRz/HZtl94CqjZWgYfXFZaCZHv6WBBiTdLxtzaCdYAgAAAFRhcVpoKV1xWyhHQCCYFVilusJHP/a/UlcDxupHQAlOCRBXzulldX1xXChoHV1xXX1xXihoIGhQaCJLAXVhaCNdcV8oRz/p4xwvCq+GRz/qUMzRf2QORz/l2bZfeAqpZWgYfXFgaCZHv6HrhR64UexzaCdYAgAAAFRhcWFoKV1xYihHQA1o7cS71tlHQBpTuAeb1fFHQCegmjTNgVpldX1xYyhoHV1xZH1xZShoIGhQaCJLAXVhaCNdcWYoRz/GvMy6Am/HRz/Ic49D1UHmRz/qJkmgh/VXZWgYfXFnaCZHv6P3ztkWhytzaCdYAgAAAFRhcWhoKV1xaShHP+hJVijL53ZHP/h2RYsUQlxHQCxGrZ1ZJ4ZldX1xaihoHV1xa31xbChoIGhQaCJLAXVhaCNdcW0oRz/qUMzRf2QORz+LbCidLSH3Rz/UTJNBD+qvZWgYfXFuaCZHv6P3ztkWhytzaCdYAgAAAFRhcW9oKV1xcChHQB4m/+w0RXpHP7tvM0EHtyxHQBXzK1lDM8xldX1xcShoHV1xcn1xcyhoIGhQaCJLAXVhaCNdcXQoRz/Ic49D1UHmRz/GvMy6Am/HRz/UTJNBD+qvZWgYfXF1aCZHv6HrhR64UexzaCdYAgAAAFRhcXZoKV1xdyhHP+4552jnNLhHP/a/UlcDxupHQBXzK1lDM8xldX1xeChoHV1xeX1xeihoIGhQaCJLAXVhaCNdcXsoRz+LbCidLSH3Rz/qUMzRf2QORz/qJkmgh/VXZWgYfXF8aCZHv6WBBiTdLxtzaCdYAgAAAFRhcX1oKV1xfihHwA1o7cOhRwFHQBpTuAeb1fFHQCxGrZ1ZJ4ZldX1xfyhoHV1xgH1xgShoIGhQaCJLAXVhaCNdcYIoRz/p4xwvCq+GRz/vkk9di0t4Rz/qJkmgh/VXZWgYfXGDaCZHv6HrhR64UexzaCdYAgAAAFRhcYRoKV1xhShHQAdWmDrF5hRHQB+Vz9BYqM9HQCxGrZ1ZJ4ZldX1xhihoHV1xh31xiChoIGhQaCJLAXVhaCNdcYkoRz/vkk9di0t4Rz/p4xwvCq+GRz/UTJNBD+qvZWgYfXGKaCZHv6WBBiTdLxtzaCdYAgAAAFRhcYtoKV1xjChHQBWE3pRzfYJHQBnl+zqXtxVHQBXzK1lDM8xldX1xjShoHV1xjn1xjyhoIGhQaCJLAXVhaCNdcZAoRz+LbCidLSH3Rz/Ic49D1UHmRz/l2bZfeAqpZWgYfXGRaCZHv6WBBiTdLxtzaCdYAgAAAFRhcZJoKV1xkyhHv+hJVifFW/BHP/h2RYsUQlxHQCegmjTNgVpldX1xlChoHV1xlX1xlihoIGhQaCJLAXVhaCNdcZcoRz/qUMzRf2QORz/p4xwvCq+GRz/HZtl94CqjZWgYfXGYaCZHv6P3ztkWhytzaCdYAgAAAFRhcZloKV1xmihHQA7lEhTCqitHQBnl+zqXtxVHQAlOCRBXzulldX1xmyhoHV1xnH1xnShoIGhQaCJLAXVhaCNdcZ4oRz/GvMy6Am/HRz/vkk9di0t4Rz/l2bZfeAqpZWgYfXGfaCZHv6P3ztkWhytzaCdYAgAAAFRhcaBoKV1xoShHwAdWmDly5uxHQB+Vz9BYqM9HQCegmjTNgVpldX1xoihoHV1xo31xpChoIFgCAAAAQ2xxpWgiSwF1YWgjXXGmKEc/7avn2po/3Uc/4P4iwElbv0c/2JKyqmG94GVoGH1xp2gmR79gYk3S8an8c2gnWAIAAABDbHGoaCldcakoR0AYdifyg7cfR0ARAAU+84sMR0AakkSVbwRmZXV9caooaB1dcat9cawoaCBopWgiSwF1YWgjXXGtKEc/4P4iwElbv0c/7avn2po/3Uc/7ElZVTDe8GVoGH1xrmgmR79ok3S8an76c2gnWAIAAABDbHGvaCldcbAoRz/j7w6Y0GagR0AdrzJaVoudR0Auljo7bw/TZXV9cbEoaB1dcbJ9cbMoaCBopWgiSwF1YWgjXXG0KEc/4P4iwElbv0c/41I65a8b4kc/47amqs8hEGVoGH1xtWgmR79ok3S8an76c2gnWAIAAABDbHG2aCldcbcoR0AA8KvsXuRiR0ATVF+B+ccaR0AlUQ2Wt5kNZXV9cbgoaB1dcbl9cbooaCBopWgiSwF1YWgjXXG7KEc/2VuKNKHIPEc/3gO6f21Ig0c/7ElZVTDe8GVoGH1xvGgmR79gYk3S8an8c2gnWAIAAABDbHG9aCldcb4oRz/36dCNZdvYR0AOBw680nlCR0Auljo7bw/TZXV9cb8oaB1dccB9ccEoaCBopWgiSwF1YWgjXXHCKEc/yj+IwYUbB0c/74OMkfQzxEc/2n3OAVU/o2VoGH1xw2gmR79ok3S8an76c2gnWAIAAABDbHHEaCldccUoR8AFPm70Ddw+R0Afhwthoam5R0AcpU/0OBtAZXV9ccYoaB1dccd9ccgoaCBopWgiSwF1YWgjXXHJKEc/sqDBKy4BGkc/3gO6f21Ig0c/47amqs8hEGVoGH1xymgmR79gYk3S8an8c2gnWAIAAABDbHHLaCldccwoR7/36dCMI5RuR0AOBw680nlCR0AlUQ2Wt5kNZXV9cc0oaB1dcc59cc8oaCBopWgiSwF1YWgjXXHQKEc/6POqYZLtAkc/74OMkfQzxEc/tgjH+qsBdmVoGH1x0WgmR79wYk3S8an8c2gnWAIAAABDbHHSaCldcdMoR0AFPm71YDziR0Afhwthoam5Rz/303+03AADZXV9cdQoaB1dcdV9cdYoaCBopWgiSwF1YWgjXXHXKEc/74OMkfQzxEc/yj+IwYUbB0c/7T7nAKqf0WVoGH1x2GgmR79ok3S8an76c2gnWAIAAABDbHHZaCldcdooR0AgTqs2UrGORz/6QnINYV+PR0Avn7/q05s/ZXV9cdsoaB1dcdx9cd0oaCBopWgiSwF1YWgjXXHeKEc/yj+IwYUbB0c/zDFWebRL90c/tgjH+qsBdmVoGH1x32gmR79ok3S8an76c2gnWAIAAABDbHHgaCldceEoRz/sE1kZMfjgRz/8NHb8TddbRz/303+03AADZXV9ceIoaB1dceN9ceQoaCBopWgiSwF1YWgjXXHlKEc/74OMkfQzxEc/6POqYZLtAkc/4sEY/1VgL2VoGH1x5mgmR79ok3S8an76c2gnWAIAAABDbHHnaCldcegoR0AV/h7yezouR0AY9m7eSVHVR0AkR4fnUw2hZXV9cekoaB1dcep9cesoaCBopWgiSwF1YWgjXXHsKEc/zDFWebRL90c/yj+IwYUbB0c/4sEY/1VgL2VoGH1x7WgmR79wYk3S8an8c2gnWAIAAABDbHHuaCldce8oRz/xaETHHr0SRz/6QnINYV+PR0AkR4fnUw2hZXV9cfAoaB1dcfF9cfIoaCBopWgiSwF1YWgjXXHzKEc/jxzbgvMPAUc/6XAdz565Pkc/tgjH+qsBdmVoGH1x9GgmR79ok3S8an76c2gnWAIAAABDbHH1aCldcfYoR8AMQ0U6VSIsR0AZcvAaBG/IRz/303+03AADZXV9cfcoaB1dcfh9cfkoaCBopWgiSwF1YWgjXXH6KEc/yzQKXifThEc/2zQKXifThEc/0AAAAAAAAGVoGH1x+2gmR79ok3S8an76c2gnWAIAAABDbHH8aCldcf0oRz4iQX0gAAAAR0ALNw7IlDVoR0ARTRfwt42gZXV9cf4oaB1dcf99cgABAAAoaCBopWgiSwF1YWgjXXIBAQAAKEc/41I65a8b4kc/4P4iwElbv0c/vbU1VnkIgGVoGH1yAgEAAGgmR79gYk3S8an8c2gnWAIAAABDbHIDAQAAaCldcgQBAAAoR0AJAn9YQrYcR0ARAAU+84sMR0AAD9aYAC20ZXV9cgUBAAAoaB1dcgYBAAB9cgcBAAAoaCBopWgiSwF1YWgjXXIIAQAAKEc/zDFWebRL90c/jxzbgvMPAUc/7T7nAKqf0WVoGH1yCQEAAGgmR79wYk3S8an8c2gnWAIAAABDbHIKAQAAaCldcgsBAAAoRz//cfFTKs5IRz+/IE7ux3zGR0Avn7/q05s/ZXV9cgwBAAAoaB1dcg0BAAB9cg4BAAAoaCBopWgiSwF1YWgjXXIPAQAAKEc/41I65a8b4kc/sqDBKy4BGkc/2JKyqmG94GVoGH1yEAEAAGgmR79gYk3S8an8c2gnWAIAAABDbHIRAQAAaCldchIBAAAoR0AU+ZWh9ZKhRz/iotIYMeB2R0AakkSVbwRmZXV9chMBAAAoaB1dchQBAAB9chUBAAAoaCBopWgiSwF1YWgjXXIWAQAAKEc/4mX60OwWPkc/6TL9aHYLH0c/0AAAAAAAAGVoGH1yFwEAAGgmR79ok3S8an76c2gnWAIAAABDbHIYAQAAaCldchkBAAAoRz/6y4MVm0O6R0AZNcjrN7pSR0ARTRfwt42gZXV9choBAAAoaB1dchsBAAB9chwBAAAoaCBopWgiSwF1YWgjXXIdAQAAKEc/2VuKNKHIPEc/7avn2po/3Uc/47amqs8hEGVoGH1yHgEAAGgmR79gYk3S8an8c2gnWAIAAABDbHIfAQAAaCldciABAAAoR7/j7w6T1gToR0AdrzJaVoudR0AlUQ2Wt5kNZXV9ciEBAAAoaB1dciIBAAB9ciMBAAAoaCBopWgiSwF1YWgjXXIkAQAAKEc/6POqYZLtAkc/6XAdz565Pkc/2n3OAVU/o2VoGH1yJQEAAGgmR79wYk3S8an8c2gnWAIAAABDbHImAQAAaCldcicBAAAoR0AMQ0U7ZkV+R0AZcvAaBG/IR0AcpU/0OBtAZXV9cigBAAAoaB1dcikBAAB9cioBAAAoaCBopWgiSwF1YWgjXXIrAQAAKEc/6XAdz565Pkc/jxzbgvMPAUc/4sEY/1VgL2VoGH1yLAEAAGgmR79ok3S8an76c2gnWAIAAABDbHItAQAAaCldci4BAAAoR0AdGutJgcAiRz+/IE7ux3zGR0AkR4fnUw2hZXV9ci8BAAAoaB1dcjABAAB9cjEBAAAoaCBopWgiSwF1YWgjXXIyAQAAKEc/sqDBKy4BGkc/41I65a8b4kc/7ElZVTDe8GVoGH1yMwEAAGgmR79gYk3S8an8c2gnWAIAAABDbHI0AQAAaCldcjUBAAAoR8AA8Kvrj26jR0ATVF+B+ccaR0Auljo7bw/TZXV9cjYBAAAoaB1dcjcBAAB9cjgBAAAoaCBopWgiSwF1YWgjXXI5AQAAKEc/3gO6f21Ig0c/sqDBKy4BGkc/vbU1VnkIgGVoGH1yOgEAAGgmR79ok3S8an76c2gnWAIAAABDbHI7AQAAaCldcjwBAAAoR0AP+6P4wYpiRz/iotIYMeB2R0AAD9aYAC20ZXV9cj0BAAAoaB1dcj4BAAB9cj8BAAAoaCBopWgiSwF1YWgjXXJAAQAAKEc/2zQKXifThEc/yzQKXifThEc/6AAAAAAAAGVoGH1yQQEAAGgmR79ok3S8an76c2gnWAIAAABDbHJCAQAAaCldckMBAAAoR0AHkaYUKAIrRz/7Nw7IlDVoR0Ap86PpE1RwZXV9ckQBAAAoaB1dckUBAAB9ckYBAAAoaCBopWgiSwF1YWgjXXJHAQAAKEc/jxzbgvMPAUc/zDFWebRL90c/2n3OAVU/o2VoGH1ySAEAAGgmR79ok3S8an76c2gnWAIAAABDbHJJAQAAaCldckoBAAAoR7/sE1kYA0FKRz/8NHb8TddbR0AcpU/0OBtAZXV9cksBAAAoaB1dckwBAAB9ck0BAAAoaCBopWgiSwF1YWgjXXJOAQAAKEc/6TL9aHYLH0c/4mX60OwWPkc/6AAAAAAAAGVoGH1yTwEAAGgmR79ok3S8an76c2gnWAIAAABDbHJQAQAAaCldclEBAAAoR0ASe7PPVk8KR0ASaAU5Eqz4R0Ap86PpE1RwZXV9clIBAAAoaB1dclMBAAB9clQBAAAoaCBopWgiSwF1YWgjXXJVAQAAKEc/7avn2po/3Uc/2VuKNKHIPEc/vbU1VnkIgGVoGH1yVgEAAGgmR79gYk3S8an8c2gnWAIAAABDbHJXAQAAaCldclgBAAAoR0Aa9AnFQolVR0AJXlo2xgEkR0AAD9aYAC20ZXV9clkBAAAoaB1dcloBAAB9clsBAAAoaCBopWgiSwF1YWgjXXJcAQAAKEc/yzQKXifThEc/6TL9aHYLH0c/0AAAAAAAAGVoGH1yXQEAAGgmR79ok3S8an76c2gnWAIAAABDbHJeAQAAaCldcl8BAAAoR7/6y4MTfh3ER0AZNcjrN7pSR0ARTRfwt42gZXV9cmABAAAoaB1dcmEBAAB9cmIBAAAoaCBopWgiSwF1YWgjXXJjAQAAKEc/6TL9aHYLH0c/yzQKXifThEc/6AAAAAAAAGVoGH1yZAEAAGgmR79ok3S8an76c2gnWAIAAABDbHJlAQAAaCldcmYBAAAoR0AZLpSUWll1Rz/7Nw7IlDVoR0Ap86PpE1RwZXV9cmcBAAAoaB1dcmgBAAB9cmkBAAAoaCBopWgiSwF1YWgjXXJqAQAAKEc/6XAdz565Pkc/6POqYZLtAkc/7T7nAKqf0WVoGH1yawEAAGgmR79ok3S8an76c2gnWAIAAABDbHJsAQAAaCldcm0BAAAoR0AN8pFYqSXPR0AY9m7eSVHVR0Avn7/q05s/ZXV9cm4BAAAoaB1dcm8BAAB9cnABAAAoaCBopWgiSwF1YWgjXXJxAQAAKEc/3gO6f21Ig0c/2VuKNKHIPEc/2JKyqmG94GVoGH1ycgEAAGgmR79ok3S8an76c2gnWAIAAABDbHJzAQAAaCldcnQBAAAoR0AEBruylr+oR0AJXlo2xgEkR0AakkSVbwRmZXV9cnUBAAAoaB1dcnYBAAB9cncBAAAoaCBYAQAAAE9yeAEAAGgiSwF1YWgjXXJ5AQAAKEc/6ftQ4/MvDEc/yBK8cDNDz0c/0AAAAAAAAGVoGH1yegEAAGgmR79wYk3S8an8c2gnangBAABoKV1yewEAAChHQBqJtKhOoSNHP/gVZ/o37BhHQBFNF/C3jaBldX1yfAEAAChoHV1yfQEAAH1yfgEAAChoIGp4AQAAaCJLAXVhaCNdcn8BAAAoRz/YErx68AtARz/IErxwM0PPRz/QAAAAAAAAZWgYfXKAAQAAaCZHv4BiTdLxqfxzaCdqeAEAAGgpXXKBAQAAKEdABNtl+J5wGkc/+BVn+jfsGEdAEU0X8LeNoGV1fXKCAQAAKGgdXXKDAQAAfXKEAQAAKGggangBAABoIksBdWFoI11yhQEAAChHP8gSvHAzQ89HP9gSvHrwC0BHP+gAAAAAAABlaBh9coYBAABoJke/cGJN0vGp/HNoJ2p4AQAAaCldcocBAAAoR75nzEyuAAAAR0AIFWgE9eRqR0Ap86PpE1RwZXV9cogBAAAoaB1dcokBAAB9cooBAAAoaCBqeAEAAGgiSwF1YWgjXXKLAQAAKEc/6ftQ4/MvDEc/4/ahwof6YEc/0AAAAAAAAGVoGH1yjAEAAGgmR79wYk3S8an8c2gnangBAABoKV1yjQEAAChHQBJ7s9J0W5pHQBP42Jrh1XdHQBFNF/C3jaBldX1yjgEAAChoHV1yjwEAAH1ykAEAAChoIGp4AQAAaCJLAXVhaCNdcpEBAAAoRz/j9qHCh/pgRz/p+1Dj8y8MRz/oAAAAAAAAZWgYfXKSAQAAaCZHv4BiTdLxqfxzaCdqeAEAAGgpXXKTAQAAKEdAABwBplcz70dAGf4yns7MpkdAKfOj6RNUcGV1fXKUAQAAKGgdXXKVAQAAfXKWAQAAKGggangBAABoIksBdWFoI11ylwEAAChHP8gSvHAzQ89HP+n7UOPzLwxHP+gAAAAAAABlaBh9cpgBAABoJke/cGJN0vGp/HNoJ2p4AQAAaCldcpkBAAAoR8AAHAGxp54+R0AZ/jKezsymR0Ap86PpE1RwZXVldVgGAAAAdGFyZ2V0cpoBAABHAAAAAAAAAAB1LlBLBwiT6tuNRh0AAEYdAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABoAMgBtYi1tcC1nYXAtMDUxOTg1L2J5dGVvcmRlckZCLgBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpabGl0dGxlUEsHCIU94xkGAAAABgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGAA0AG1iLW1wLWdhcC0wNTE5ODUvdmVyc2lvbkZCMABaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlozClBLBwjRnmdVAgAAAAIAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAACcAKQBtYi1tcC1nYXAtMDUxOTg1Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRGQiUAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjA2MzY0NTc3Mzc5NDY0MDEwNTEzMDAwMDAwMjA5NjgzMzg2MjYxODhQSwcIb3CR2igAAAAoAAAAUEsBAgAAAAAICAAAAAAAAJPq241GHQAARh0AABkAAAAAAAAAAAAAAAAAAAAAAG1iLW1wLWdhcC0wNTE5ODUvZGF0YS5wa2xQSwECAAAAAAgIAAAAAAAAhT3jGQYAAAAGAAAAGgAAAAAAAAAAAAAAAACWHQAAbWItbXAtZ2FwLTA1MTk4NS9ieXRlb3JkZXJQSwECAAAAAAgIAAAAAAAA0Z5nVQIAAAACAAAAGAAAAAAAAAAAAAAAAAAWHgAAbWItbXAtZ2FwLTA1MTk4NS92ZXJzaW9uUEsBAgAAAAAICAAAAAAAAG9wkdooAAAAKAAAACcAAAAAAAAAAAAAAAAAkh4AAG1iLW1wLWdhcC0wNTE5ODUvLmRhdGEvc2VyaWFsaXphdGlvbl9pZFBLBgYsAAAAAAAAAB4DLQAAAAAAAAAAAAQAAAAAAAAABAAAAAAAAAAqAQAAAAAAADgfAAAAAAAAUEsGBwAAAABiIAAAAAAAAAEAAABQSwUGAAAAAAQABAAqAQAAOB8AAAAA" | ./matbench_mp_gap/mb-mp-gap-051985 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-000086 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-081091 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-097485 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTAzMTk3OC9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQCKBU4ttW/lHwBIAcAek5PxHAAAAAAAAAABlXXENKEdAEwUDKdYSRkdAEwf1vARSoEcAAAAAAAAAAGVdcQ4oRwAAAAAAAAAARwAAAAAAAAAAR0AI/sOCIFY3ZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAJJP8oM5Q/FgBAAAAYnESR0Aa5+hpG3BFWAEAAABjcRNHQAj+w4IgVjdYBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAUb0mSj32wlgGAAAAdm9sdW1lcRdHQGmM0KSB5gl1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABDb3EhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHAAAAAAAAAABHAAAAAAAAAABHAAAAAAAAAABlaBh9cSVYBgAAAG1hZ21vbXEmR0AGVgQYk3S8c1gFAAAAbGFiZWxxJ1gCAAAAQ29xKFgDAAAAeHl6cSldcSooRwAAAAAAAAAARwAAAAAAAAAARwAAAAAAAAAAZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEcAAAAAAAAAAEc/4AAAAAAAAEc/4AAAAAAAAGVoGH1xL2gmRz/+UeuFHrhSc2gnWAIAAABDb3EwaCldcTEoR0ADBQMp1hJGR0ADB/W8BFKgRz/4/sOCIFY3ZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/03y4LKyxTkc/1j9N/mWhGkcAAAAAAAAAAGVoGH1xNmgmR0AFN0vGp++ec2gnWAIAAABDb3E3aCldcTgoR0AR4XJzG/RORz/SJZlplNFURwAAAAAAAAAAZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/5QDI7Zoh1Uc/xgDTuny+F0c/4AAAAAAAAGVoGH1xPWgmR0AGZmZmZmZmc2gnWAIAAABDb3E+aCldcT8oR0Abj6ILi5TCR8ABFnmsgNNuRz/4/sOCIFY3ZXV9cUAoaB1dcUF9cUIoaCBoIWgiSwF1YWgjXXFDKEc/1f5uJMu8V0c/6n/LEWDQekc/4AAAAAAAAGVoGH1xRGgmR0AGZmZmZmZmc2gnWAIAAABDb3FFaCldcUYoR0AceAg1JTV2R0ADJYUVP660Rz/4/sOCIFY3ZXV9cUcoaB1dcUh9cUkoaCBoIWgiSwF1YWgjXXFKKEc/5kGj6amnWUc/5OBZAM0vc0cAAAAAAAAAAGVoGH1xS2gmR0AFN0vGp++ec2gnWAIAAABDb3FMaCldcU0oR0AjExvmymr2R7+a0+I533GARwAAAAAAAAAAZXV9cU4oaB1dcU99cVAoaCBYAQAAAE9xUWgiSwF1YWgjXXFSKEc/x8ohYU6kfkc/2ggmwAhDRUc/4AAAAAAAAGVoGH1xU2gmRz+wYk3S8an8c2gnaFFoKV1xVChHQA06wpQZhhZHP/GUm1PWIThHP/j+w4IgVjdldX1xVShoHV1xVn1xVyhoIGhRaCJLAXVhaCNdcVgoRz/qDXenrFbhRz/i++yf+95dRz/gAAAAAAAAZWgYfXFZaCZHP7BiTdLxqfxzaCdoUWgpXXFaKEdAJLUke1IDlke/6u0JBLDVWEc/+P7DgiBWN2V1fXFbKGgdXXFcfXFdKGggWAEAAABGcV5oIksBdWFoI11xXyhHP+/+b5ybAM1HP9OTgRE3itxHAAAAAAAAAABlaBh9cWBoJkc/rCj1wo9cKXNoJ2heaCldcWEoR0AlaRVo0njgR8AIWqpZto4mRwAAAAAAAAAAZXV9cWIoaB1dcWN9cWQoaCBoXmgiSwF1YWgjXXFlKEc/KQY2T/MyZ0c/5jZBkEMuqUcAAAAAAAAAAGVoGH1xZmgmRz+sKPXCj1wpc2gnaF5oKV1xZyhHQAprAVxIop9HQAppuEEJQk9HAAAAAAAAAABldX1xaChoHV1xaX1xaihoIGheaCJLAXVhaCNdcWsoRz/VfK8y3fjERz+eR0tDH2R0RwAAAAAAAAAAZWgYfXFsaCZHP7cKPXCj1wpzaCdoXmgpXXFtKEdACfnjvOzdrke/9eyf8sYKZkcAAAAAAAAAAGV1fXFuKGgdXXFvfXFwKGggaF5oIksBdWFoI11xcShHP9yaTqBMEE9HP9G4kk10/dlHP+AAAAAAAABlaBh9cXJoJkc/rjU/fO2RaHNoJ2heaCldcXMoR0AVzpOuphkBR7/mNMQnV1TYRz/4/sOCIFY3ZXV9cXQoaB1dcXV9cXYoaCBoXmgiSwF1YWgjXXF3KEc/wRaBNktrjkc/7d+ceBtEqkc/4AAAAAAAAGVoGH1xeGgmRz+0/fO2RaHLc2gnaF5oKV1xeShHQBayTs3oRW1HQA659DF6ixRHP/j+w4IgVjdldX1xeihoHV1xe31xfChoIGheaCJLAXVhaCNdcX0oRz/Vci7cC4QYRz/kUTC6ByJeRwAAAAAAAAAAZWgYfXF+aCZHP7cKPXCj1wpzaCdoXmgpXXF/KEdAGHpKRoYpi0c/+DP/91L5wUcAAAAAAAAAAGV1fXGAKGgdXXGBfXGCKGggaF5oIksBdWFoI11xgyhHP+VG6JH6PfRHP9ddnovxu0RHAAAAAAAAAABlaBh9cYRoJkc/two9cKPXCnNoJ2heaCldcYUoR0AfjV/6KqCtR7/0Fekl1UMwRwAAAAAAAAAAZXV9cYYoaB1dcYd9cYgoaCBoXmgiSwF1YWgjXXGJKEc/67pfsm0lHEc/sQMcPyXasEc/4AAAAAAAAGVoGH1ximgmRz+0/fO2RaHLc2gnaF5oKV1xiyhHQCCqrblkQmVHwAyq6Mi7r8xHP/j+w4IgVjdldX1xjChoHV1xjX1xjihoIGheaCJLAXVhaCNdcY8oRz/hstiv2ffZRz/nI7bZRYEURz/gAAAAAAAAZWgYfXGQaCZHP641P3ztkWhzaCdoXmgpXXGRKEdAIRyLSQVYnEc/7nDxylLB/Ec/+P7DgiBWN2V1fXGSKGgdXXGTfXGUKGggaF5oIksBdWFoI11xlShHP+VBqGaRA55HP+8NxaXnBNxHAAAAAAAAAABlaBh9cZZoJkc/two9cKPXCnNoJ2heaCldcZcoR0AlhVwxHS2wRz/6CrbEQ8D0RwAAAAAAAAAAZXVldVgGAAAAdGFyZ2V0cZhHAAAAAAAAAAB1LlBLBwhGAWJaSgoAAEoKAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABoALgBtYi1tcC1nYXAtMDMxOTc4L2J5dGVvcmRlckZCKgBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpsaXR0bGVQSwcIhT3jGQYAAAAGAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAYADQAbWItbXAtZ2FwLTAzMTk3OC92ZXJzaW9uRkIwAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjMKUEsHCNGeZ1UCAAAAAgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAJwApAG1iLW1wLWdhcC0wMzE5NzgvLmRhdGEvc2VyaWFsaXphdGlvbl9pZEZCJQBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMDYzNjQ1NzczNzk0NjQwMTA1MTMwMDAwMDAxNzgyNDI4NjkxNTQ4MFBLBwj10r5cKAAAACgAAABQSwECAAAAAAgIAAAAAAAARgFiWkoKAABKCgAAGQAAAAAAAAAAAAAAAAAAAAAAbWItbXAtZ2FwLTAzMTk3OC9kYXRhLnBrbFBLAQIAAAAACAgAAAAAAACFPeMZBgAAAAYAAAAaAAAAAAAAAAAAAAAAAJoKAABtYi1tcC1nYXAtMDMxOTc4L2J5dGVvcmRlclBLAQIAAAAACAgAAAAAAADRnmdVAgAAAAIAAAAYAAAAAAAAAAAAAAAAABYLAABtYi1tcC1nYXAtMDMxOTc4L3ZlcnNpb25QSwECAAAAAAgIAAAAAAAA9dK+XCgAAAAoAAAAJwAAAAAAAAAAAAAAAACSCwAAbWItbXAtZ2FwLTAzMTk3OC8uZGF0YS9zZXJpYWxpemF0aW9uX2lkUEsGBiwAAAAAAAAAHgMtAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAACoBAAAAAAAAOAwAAAAAAABQSwYHAAAAAGINAAAAAAAAAQAAAFBLBQYAAAAABAAEACoBAAA4DAAAAAA=" | ./matbench_mp_gap/mb-mp-gap-031978 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-007374 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-045336 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-075541 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-104727 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-035214 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-093735 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-070630 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-057430 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-041015 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTAyMzgxNi9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQA+G+gS+VbxHAAAAAAAAAABHAAAAAAAAAABlXXENKEcAAAAAAAAAAEdAMF5g+sGnq0cAAAAAAAAAAGVdcQ4oRwAAAAAAAAAARwAAAAAAAAAAR0A09rlcAbOJZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAD4b6BL5VvFgBAAAAYnESR0AwXmD6waerWAEAAABjcRNHQDT2uVwBs4lYBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAVoAAAAAAAFgGAAAAdm9sdW1lcRdHQJUhRWlTLsZ1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABZYnEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP+gAAAAAAABHP+z3uAfuttdHP89xQIoI1+tlaBh9cSVYBgAAAG1hZ21vbXEmRwAAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAAWWJxKFgDAAAAeHl6cSldcSooR0AHpTuDjsBNR0Atopb1argIR0AUmTUXjw5xZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/6AAAAAAAAEc/rJS+k3kZHEc/schmCsvg6mVoGH1xL2gmRwAAAAAAAAAAc2gnWAIAAABZYnEwaCldcTEoR0AHpTuDjsBNRz/tPVWvgQTjRz/3TLaxwuNrZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/0AAAAAAAAEc/3G1oLZDc3Uc/4jkMwVl8HWVoGH1xNmgmRwAAAAAAAAAAc2gnWAIAAABZYnE3aCldcTgoRz/vhvoEvlW8R0AdFRc/ky66R0An4FAyOg/2ZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/0AAAAAAAAEc/7ja0Fshubkc/7cbzPqaD42VoGH1xPWgmRwAAAAAAAAAAc2gnWAIAAABZYnE+aCldcT8oRz/vhvoEvlW8R0Au6Oyaiz8IR0Azge3w5YVTZXV9cUAoaB1dcUF9cUIoaCBoIWgiSwF1YWgjXXFDKEc/0AAAAAAAAEc/uEI/wIpJRUc/6COv3X3KBWVoGH1xRGgmRwAAAAAAAAAAc2gnWAIAAABZYnFFaCldcUYoRz/vhvoEvlW8Rz/40VgAxLppR0AvoNgsO9/ZZXV9cUcoaB1dcUh9cUkoaCBoIWgiSwF1YWgjXXFKKEc/6AAAAAAAAEc/2e9wD91tr0c/0EdfuvuUC2VoGH1xS2gmRwAAAAAAAAAAc2gnWAIAAABZYnFMaCldcU0oR0AHpTuDjsBNR0AaiGv1UiC8R0AVVD2gdFiiZXV9cU4oaB1dcU99cVAoaCBoIWgiSwF1YWgjXXFRKEc/0AAAAAAAAEc/4hZjbrpH5Uc/tIw0rC8demVoGH1xUmgmRwAAAAAAAAAAc2gnWAIAAABZYnFTaCldcVQoRz/vhvoEvlW8R0AigRSYsiPmRz/67BuMW55QZXV9cVUoaB1dcVZ9cVcoaCBoIWgiSwF1YWgjXXFYKEc/0AAAAAAAAEc/sLMbddI/KEc/2tzy1PQ4omVoGH1xWWgmRwAAAAAAAAAAc2gnWAIAAABZYnFaaCldcVsoRz/vhvoEvlW8Rz/xFZzvg+HVR0AhmTXqdj+/ZXV9cVwoaB1dcV19cV4oaCBoIWgiSwF1YWgjXXFfKEc/0AAAAAAAAEc/4whH+BFJKUc/59xQIoI1+2VoGH1xYGgmRwAAAAAAAAAAc2gnWAIAAABZYnFhaCldcWIoRz/vhvoEvlW8R0AjeIv62j75R0AvQ1PnyTrCZXV9cWMoaB1dcWR9cWUoaCBoIWgiSwF1YWgjXXFmKEc/6AAAAAAAAEc/7emckUW4G0c/4pGGlYXjr2VoGH1xZ2gmRwAAAAAAAAAAc2gnWAIAAABZYnFoaCldcWkoR0AHpTuDjsBNR0Aumg5XktMbR0AoVDzNjSdTZXV9cWooaB1dcWt9cWwoaCBoIWgiSwF1YWgjXXFtKEc/6AAAAAAAAEc/4clL6TeRkkc/243mfU0HxmVoGH1xbmgmRwAAAAAAAAAAc2gnWAIAAABZYnFvaCldcXAoR0AHpTuDjsBNR0AiMjZVubf5R0AiDSKFyVccZXV9cXEoaB1dcXJ9cXMoaCBoIWgiSwF1YWgjXXF0KEc/6AAAAAAAAEc/29M5IotwNkc/7W55anocUWVoGH1xdWgmRwAAAAAAAAAAc2gnWAIAAABZYnF2aCldcXcoR0AHpTuDjsBNR0Acd1q5olbhR0AzR/ejO/mkZXV9cXgoaB1dcXl9cXooaCBYAgAAAENlcXtoIksBdWFoI11xfChHP9AAAAAAAABHP8TOzOytPOVHP8/OgCszinFlaBh9cX1oJkcAAAAAAAAAAHNoJ1gCAAAAQ2VxfmgpXXF/KEc/74b6BL5VvEdABUmJ/4RdQUdAFNZL0ZSt5GV1fXGAKGgdXXGBfXGCKGggaHtoIksBdWFoI11xgyhHP+gAAAAAAABHP+rMTMTUsMdHP+gMX/UzHWRlaBh9cYRoJkcAAAAAAAAAAHNoJ1gCAAAAQ2VxhWgpXXGGKEdAB6U7g47ATUdAK2pfdaI4BkdAL4JMzzkQIGV1fXGHKGgdXXGIfXGJKGggaHtoIksBdWFoI11xiihHP+gAAAAAAABHP9WYmYmpYY5HP+fzoArM4pxlaBh9cYtoJkcAAAAAAAAAAHNoJ1gCAAAAQ2VxjGgpXXGNKEdAB6U7g47ATUdAFhf89cEgtkdAL2HfRMwKe2V1fXGOKGgdXXGPfXGQKGggaHtoIksBdWFoI11xkShHP9AAAAAAAABHP9U6Gs43hf5HP7cyxaUQRUhlaBh9cZJoJkcAAAAAAAAAAHNoJ1gCAAAAQ2Vxk2gpXXGUKEc/74b6BL5VvEdAFbdQ1QCvqUc//mUwbZHdP2V1fXGVKGgdXXGWfXGXKGggaHtoIksBdWFoI11xmChHP9AAAAAAAABHP8j7E4cbZ7pHP+2PMqhI3uxlaBh9cZloJkcAAAAAAAAAAHNoJ1gCAAAAQ2VxmmgpXXGbKEc/74b6BL5VvEdACY5uA8u+4kdAM11nt3VcX2V1fXGcKGgdXXGdfXGeKGggaHtoIksBdWFoI11xnyhHP9AAAAAAAABHP+qdDWcbwv9HP9ozTpa77q5laBh9caBoJkcAAAAAAAAAAHNoJ1gCAAAAQ2VxoWgpXXGiKEc/74b6BL5VvEdAKzoJZUH/gEdAISoTTk934WV1fXGjKGgdXXGkfXGlKGggaHtoIksBdWFoI11xpihHP+gAAAAAAABHP+Vi8pjkPQFHP+0Zp0td91dlaBh9cadoJkcAAAAAAAAAAHNoJ1gCAAAAQ2VxqGgpXXGpKEdAB6U7g47ATUdAJeEZiwL3gUdAMxBmVSiVtWV1fXGqKGgdXXGrfXGsKGggaHtoIksBdWFoI11xrShHP+gAAAAAAABHP+nBOx45JhFHP7OGar25CKBlaBh9ca5oJkcAAAAAAAAAAHNoJ1gCAAAAQ2Vxr2gpXXGwKEdAB6U7g47ATUdAKlkmdJBfnUc/+ZUaSMVymWV1fXGxKGgdXXGyfXGzKGggaHtoIksBdWFoI11xtChHP9AAAAAAAABHP+Y+xOHG2e9HP+JwzVe3IRRlaBh9cbVoJkcAAAAAAAAAAHNoJ1gCAAAAQ2VxtmgpXXG3KEc/74b6BL5VvEdAJsH8e7SXZEdAKClcpRph3GV1fXG4KGgdXXG5fXG6KGggaHtoIksBdWFoI11xuyhHP+gAAAAAAABHP9OCdjxyTCNHP9seZVCRvdhlaBh9cbxoJkcAAAAAAAAAAHNoJ1gCAAAAQ2VxvWgpXXG+KEdAB6U7g47ATUdAE/WK851v5UdAIcQWEukFNmV1fXG/KGgdXXHAfXHBKGggaHtoIksBdWFoI11xwihHP+gAAAAAAABHP8WLymOQ9ARHP+LmWLSiCKllaBh9ccNoJkcAAAAAAAAAAHNoJ1gCAAAAQ2VxxGgpXXHFKEdAB6U7g47ATUdABgriQQU/WkdAKMNfabPvMWV1fXHGKGgdXXHHfXHIKGggaHtoIksBdWFoI11xyShHP9AAAAAAAABHP+UzszsrTzlHP9AYv+pmOsdlaBh9ccpoJkcAAAAAAAAAAHNoJ1gCAAAAQ2Vxy2gpXXHMKEc/74b6BL5VvEdAJbDDeqK++0dAFRcm5m65LWV1fXHNKGgdXXHOfXHPKGggWAEAAABTcdBoIksBdWFoI11x0ShHP9AAAAAAAABHP+3xfaZz8pZHP+mbzgGrJd5laBh9cdJoJkcAAAAAAAAAAHNoJ1gBAAAAU3HTaCldcdQoRz/vhvoEvlW8R0Auoh3m33iMR0AwxtLXGBHUZXV9cdUoaB1dcdZ9cdcoaCBo0GgiSwF1YWgjXXHYKEc/6AAAAAAAAEc/3ISK/yIJlUc/q79VP/hoh2VoGH1x2WgmRwAAAAAAAAAAc2gnaNNoKV1x2ihHQAelO4OOwE1HQB0swonvEdFHP/IthOFDb4xldX1x2yhoHV1x3H1x3ShoIGjQaCJLAXVhaCNdcd4oRz/oAAAAAAAARz/DbPzYgzlbRz/WJucfiV02ZWgYfXHfaCZHAAAAAAAAAABzaCdo02gpXXHgKEdAB6U7g47ATUdAA9+S5FpcUUdAHQY3qiL9FmV1fXHhKGgdXXHifXHjKGggaNBoIksBdWFoI11x5ChHP+gAAAAAAABHP+YEscXgSYFHP+W586bWQxhlaBh9ceVoJkcAAAAAAAAAAHNoJ2jTaCldceYoR0AHpTuDjsBNR0AmhpLPiUuDR0Asd3dFsbOcZXV9cecoaB1dceh9cekoaCBo0GgiSwF1YWgjXXHqKEc/6AAAAAAAAEc/0kUxQkJEyUc/73S1ToDsemVoGH1x62gmRwAAAAAAAAAAc2gnaNNoKV1x7ChHQAelO4OOwE1HQBKw9oElW25HQDSbeLgFdiJldX1x7ShoHV1x7n1x7yhoIGjQaCJLAXVhaCNdcfAoRz/QAAAAAAAARz/WSYGTvmNTRz/rE3OPxK6bZWgYfXHxaCZHAAAAAAAAAABzaCdo02gpXXHyKEc/74b6BL5VvEdAFsz4g1YhLkdAMbzqmImZCmV1fXHzKGgdXXH0fXH1KGggaNBoIksBdWFoI11x9ihHP9AAAAAAAABHP+bdZ17e3ZtHP5FpVi/icM5laBh9cfdoJkcAAAAAAAAAAHNoJ2jTaCldcfgoRz/vhvoEvlW8R0AnZEa08KGfRz/W0Cj/D1m6ZXV9cfkoaB1dcfp9cfsoaCBo0GgiSwF1YWgjXXH8KEc/6AAAAAAAAEc/sZSyfxi54Ec/7gGNHeA6vmVoGH1x/WgmRwAAAAAAAAAAc2gnaNNoKV1x/ihHQAelO4OOwE1HP/H8Zqd6lJ9HQDOoUe6/s05ldX1x/yhoHV1yAAEAAH1yAQEAAChoIGjQaCJLAXVhaCNdcgIBAAAoRz/oAAAAAAAARz/uQkV/kQTLRz/ciBVYAPLvZWgYfXIDAQAAaCZHAAAAAAAAAABzaCdo02gpXXIEAQAAKEdAB6U7g47ATUdALvTCP7kwlEdAIrEIv9lFl2V1fXIFAQAAKGgdXXIGAQAAfXIHAQAAKGggaNBoIksBdWFoI11yCAEAAChHP+gAAAAAAABHP+FYzoMFWIRHP+pDo5jL6U1laBh9cgkBAABoJkcAAAAAAAAAAHNoJ2jTaCldcgoBAAAoR0AHpTuDjsBNR0AhvyFk+7nPR0AxNMZbs7iMZXV9cgsBAAAoaB1dcgwBAAB9cg0BAAAoaCBo0GgiSwF1YWgjXXIOAQAAKEc/0AAAAAAAAEc/5WEGpbaIaEc/3Bi3/Qb8SWVoGH1yDwEAAGgmRwAAAAAAAAAAc2gnaNNoKV1yEAEAAChHP++G+gS+VbxHQCXfIkH6xVdHQCJoE8Q9wZFldX1yEQEAAChoHV1yEgEAAH1yEwEAAChoIGjQaCJLAXVhaCNdchQBAAAoRz/QAAAAAAAARz/nbudpWzhgRz/qVbaV07xVZWgYfXIVAQAAaCZHAAAAAAAAAABzaCdo02gpXXIWAQAAKEc/74b6BL5VvEdAJ/khAZMnlEdAMUCdlIOG+mV1fXIXAQAAKGgdXXIYAQAAfXIZAQAAKGggaNBoIksBdWFoI11yGgEAAChHP+gAAAAAAABHP7B0Esxga1BHP8mQx/lTaIhlaBh9chsBAABoJkcAAAAAAAAAAHNoJ2jTaCldchwBAAAoR0AHpTuDjsBNRz/w1SB1HrZQR0AQv5oTpobVZXV9ch0BAAAoaB1dch4BAAB9ch8BAAAoaCBo0GgiSwF1YWgjXXIgAQAAKEc/0AAAAAAAAEc/zbudpWzhgEc/5apJaixDq2VoGH1yIQEAAGgmRwAAAAAAAAAAc2gnaNNoKV1yIgEAAChHP++G+gS+VbxHQA5rABtF/6RHQCxi8Or+DKhldX1yIwEAAChoHV1yJAEAAH1yJQEAAChoIGjQaCJLAXVhaCNdciYBAAAoRz/oAAAAAAAARz/iMpZP4xc8Rz/h/nLiH8VCZWgYfXInAQAAaCZHAAAAAAAAAABzaCdo02gpXXIoAQAAKEdAB6U7g47ATUdAIp3tz7D6P0dAJ5OINoWz/2V1fXIpAQAAKGgdXXIqAQAAfXIrAQAAKGggaNBoIksBdWFoI11yLAEAAChHP+gAAAAAAABHP9U98rSS7zBHP+HzpAF8gdxlaBh9ci0BAABoJkcAAAAAAAAAAHNoJ2jTaCldci4BAAAoR0AHpTuDjsBNR0AVuz9nERP+R0AnhV7zxaWBZXV9ci8BAAAoaB1dcjABAAB9cjEBAAAoaCBo0GgiSwF1YWgjXXIyAQAAKEc/0AAAAAAAAEc/6yTAyd8xqUc/5OyMcDtRZWVoGH1yMwEAAGgmRwAAAAAAAAAAc2gnaNNoKV1yNAEAAChHP++G+gS+VbxHQCvE3TxsuEFHQCtqVuLx6IdldX1yNQEAAChoHV1yNgEAAH1yNwEAAChoIGjQaCJLAXVhaCNdcjgBAAAoRz/QAAAAAAAARz/upzF8+qd8Rz/Uh0cxl9KaZWgYfXI5AQAAaCZHAAAAAAAAAABzaCdo02gpXXI6AQAAKEc/74b6BL5VvEdAL1wBi0k9MkdAGuWmtst7HWV1fXI7AQAAKGgdXXI8AQAAfXI9AQAAKGggaNBoIksBdWFoI11yPgEAAChHP9AAAAAAAABHP9P2nHQ/bP1HP9SMGLJTedBlaBh9cj8BAABoJkcAAAAAAAAAAHNoJ2jTaCldckABAAAoRz/vhvoEvlW8R0AUbF5L9AelR0Aa6/bko2bsZXV9ckEBAAAoaB1dckIBAAB9ckMBAAAoaCBo0GgiSwF1YWgjXXJEAQAAKEc/6AAAAAAAAEc/0SIxLUmPQEc/xqklqLEOq2VoGH1yRQEAAGgmRwAAAAAAAAAAc2gnaNNoKV1yRgEAAChHQAelO4OOwE1HQBGHQefgT4RHQA2w3jvxZHlldX1yRwEAAChoHV1ySAEAAH1ySQEAAChoIGjQaCJLAXVhaCNdckoBAAAoRz/oAAAAAAAARz/okRiWpMegRz/Uq20rp3iqZWgYfXJLAQAAaCZHAAAAAAAAAABzaCdo02gpXXJMAQAAKEdAB6U7g47ATUdAKSIB7rHPbUdAGxUDmgq01WV1fXJNAQAAKGgdXXJOAQAAfXJPAQAAKGggaNBoIksBdWFoI11yUAEAAChHP9AAAAAAAABHP6vbqAbvs1dHP+G79VP/hohlaBh9clEBAABoJkcAAAAAAAAAAHNoJ2jTaCldclIBAAAoRz/vhvoEvlW8Rz/sf/tcoewoR0AnPGn4KiF6ZXV9clMBAAAoaB1dclQBAAB9clUBAAAoaCBo0GgiSwF1YWgjXXJWAQAAKEc/6AAAAAAAAEc/6SKYoSEiZUc/4ItKsX8ThmVoGH1yVwEAAGgmRwAAAAAAAAAAc2gnaNNoKV1yWAEAAChHQAelO4OOwE1HQCm23DtUVWJHQCWtOqP6LlZldX1yWQEAAChoHV1yWgEAAH1yWwEAAChoIGjQaCJLAXVhaCNdclwBAAAoRz/QAAAAAAAARz/p+046H7Z/Rz/G586bWQxhZWgYfXJdAQAAaCZHAAAAAAAAAABzaCdo02gpXXJeAQAAKEc/74b6BL5VvEdAKpSQILurfkdADgL3psAATWV1fXJfAQAAKGgdXXJgAQAAfXJhAQAAKGggaNBoIksBdWFoI11yYgEAAChHP+gAAAAAAABHP6WM6DBViEhHP+W8XGc0FrNlaBh9cmMBAABoJkcAAAAAAAAAAHNoJ2jTaCldcmQBAAAoR0AHpTuDjsBNRz/mDAajoSJDR0Asep9cnamEZXV9cmUBAAAoaB1dcmYBAAB9cmcBAAAoaCBo0GgiSwF1YWgjXXJoAQAAKEc/0AAAAAAAAEc/7c1psBzoxEc/r+cuIfxUJGVoGH1yaQEAAGgmRwAAAAAAAAAAc2gnaNNoKV1yagEAAChHP++G+gS+VbxHQC59NSCT/MJHP/TmdtQgA7FldX1yawEAAChoHV1ybAEAAH1ybQEAAChoIGjQaCJLAXVhaCNdcm4BAAAoRz/QAAAAAAAARz/FhBqW2iGfRz+vOkAXyB27ZWgYfXJvAQAAaCZHAAAAAAAAAABzaCdo02gpXXJwAQAAKEc/74b6BL5VvEdABgMFHOR2sEc/9HUsvh+PwGV1fXJxAQAAKGgdXXJyAQAAfXJzAQAAKGggaNBoIksBdWFoI11ydAEAAChHP+gAAAAAAABHP+TbPzYgzldHP8OyMcDtRZNlaBh9cnUBAABoJkcAAAAAAAAAAHNoJ2jTaCldcnYBAAAoR0AHpTuDjsBNR0AlVkWz2D7AR0AJznYbwNP4ZXV9cncBAAAoaB1dcngBAAB9cnkBAAAoaCBo0GgiSwF1YWgjXXJ6AQAAKEc/6AAAAAAAAEc/yBLHF4EmBUc/6kYMWSm86GVoGH1yewEAAGgmRwAAAAAAAAAAc2gnaNNoKV1yfAEAAChHQAelO4OOwE1HQAigx1Mej2FHQDE2Wmcps4BldX1yfQEAAChoHV1yfgEAAH1yfwEAAChoIGjQaCJLAXVhaCNdcoABAAAoRz/QAAAAAAAARz/LdZ17e3ZuRz/e6WqdAdjzZWgYfXKBAQAAaCZHAAAAAAAAAABzaCdo02gpXXKCAQAAKEc/74b6BL5VvEdADBeW6Lvn0UdAJEA4FAk4u2V1fXKDAQAAKGgdXXKEAQAAfXKFAQAAKGggaNBoIksBdWFoI11yhgEAAChHP9AAAAAAAABHP91OYvn1TvdHP8bxcZzQWsxlaBh9cocBAABoJkcAAAAAAAAAAHNoJ2jTaCldcogBAAAoRz/vhvoEvlW8R0Ad+0EhDysOR0AOD5gCb9fqZXV9cokBAAAoaB1dcooBAAB9cosBAAAoaCBo0GgiSwF1YWgjXXKMAQAAKEc/0AAAAAAAAEc/25rTYDnRiEc/3AMaO8B1fGVoGH1yjQEAAGgmRwAAAAAAAAAAc2gnaNNoKV1yjgEAAChHP++G+gS+VbxHQBw9qEukqi5HQCJZ6oF9sxNldX1yjwEAAChoHV1ykAEAAH1ykQEAAChoIGjQaCJLAXVhaCNdcpIBAAAoRz/QAAAAAAAARz/b4vtM5+UsRz/mZDH+VNoiZWgYfXKTAQAAaCZHAAAAAAAAAABzaCdo02gpXXKUAQAAKEc/74b6BL5VvEdAHId52DuhwkdALVaGZdT29GV1fXKVAQAAKGgdXXKWAQAAfXKXAQAAKGggaNBoIksBdWFoI11ymAEAAChHP+gAAAAAAABHP+IOglmMDWpHP9M3nANWS7xlaBh9cpkBAABoJkcAAAAAAAAAAHNoJ2jTaCldcpoBAAAoR0AHpTuDjsBNR0AieQUJZX51R0AZLdikXOA9ZXV9cpsBAAAoaB1dcpwBAAB9cp0BAAAoaCBo0GgiSwF1YWgjXXKeAQAAKEc/0AAAAAAAAEc/4b26gG77NUc/7kQKrAB5eGVoGH1ynwEAAGgmRwAAAAAAAAAAc2gnaNNoKV1yoAEAAChHP++G+gS+VbxHQCImYLCLxm1HQDPT4Q3tfJFldX1yoQEAAChoHV1yogEAAH1yowEAAChoIGjQaCJLAXVhaCNdcqQBAAAoRz/oAAAAAAAARz/qnvlaSXeYRz/uDFv+g34kZWgYfXKlAQAAaCZHAAAAAAAAAABzaCdo02gpXXKmAQAAKEdAB6U7g47ATUdAKzwArkoxqkdAM69mkB+6jWV1ZXVYBgAAAHRhcmdldHKnAQAARz/RCWu5jH4wdS5QSwcI4TIEf1EfAABRHwAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAaACcAbWItbXAtZ2FwLTAyMzgxNi9ieXRlb3JkZXJGQiMAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpsaXR0bGVQSwcIhT3jGQYAAAAGAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAYADQAbWItbXAtZ2FwLTAyMzgxNi92ZXJzaW9uRkIwAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjMKUEsHCNGeZ1UCAAAAAgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAJwApAG1iLW1wLWdhcC0wMjM4MTYvLmRhdGEvc2VyaWFsaXphdGlvbl9pZEZCJQBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMDYzNjQ1NzczNzk0NjQwMTA1MTMwMDAwMDAxOTkzNDk0MzYwNjEwM1BLBwgNxCnyKAAAACgAAABQSwECAAAAAAgIAAAAAAAA4TIEf1EfAABRHwAAGQAAAAAAAAAAAAAAAAAAAAAAbWItbXAtZ2FwLTAyMzgxNi9kYXRhLnBrbFBLAQIAAAAACAgAAAAAAACFPeMZBgAAAAYAAAAaAAAAAAAAAAAAAAAAAKEfAABtYi1tcC1nYXAtMDIzODE2L2J5dGVvcmRlclBLAQIAAAAACAgAAAAAAADRnmdVAgAAAAIAAAAYAAAAAAAAAAAAAAAAABYgAABtYi1tcC1nYXAtMDIzODE2L3ZlcnNpb25QSwECAAAAAAgIAAAAAAAADcQp8igAAAAoAAAAJwAAAAAAAAAAAAAAAACSIAAAbWItbXAtZ2FwLTAyMzgxNi8uZGF0YS9zZXJpYWxpemF0aW9uX2lkUEsGBiwAAAAAAAAAHgMtAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAACoBAAAAAAAAOCEAAAAAAABQSwYHAAAAAGIiAAAAAAAAAQAAAFBLBQYAAAAABAAEACoBAAA4IQAAAAA=" | ./matbench_mp_gap/mb-mp-gap-023816 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-067216 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-037435 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-049289 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-032266 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-039135 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-042981 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-044069 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-053984 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-052141 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-073241 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-091395 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-039178 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-035799 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-071243 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-066772 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-033395 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-022328 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTAzMzYzOS9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHwAZg3EY8elpHwBNhVw6vmzlHvmV5juIwjDplXXENKEdAFmDciq/xy0eAAAAAAAAAAEe+RXmO4jCMOmVdcQ4oR75FeY7iMIw6R8AJ1x4Cyl+1R0AWQBF0G7C2ZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAFmDclOnpxlgBAAAAYnESR0AWYNyKr/HLWAEAAABjcRNHQBm6vU0UOjJYBQAAAGFscGhhcRRHQFaAAAC+vO1YBAAAAGJldGFxFUdAUA48opWiD1gFAAAAZ2FtbWFxFkdAXf//4uy5slgGAAAAdm9sdW1lcRdHQGLY8prmc6d1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAEAAABWcSFYBAAAAG9jY3VxIksBdWFYAwAAAGFiY3EjXXEkKEc/5TEUX4h7ukc/1TEUX4h7ukc/ezC4WaM0eGVoGH1xJVgGAAAAbWFnbW9tcSZHv9Y1P3ztkWhzWAUAAABsYWJlbHEnaCFYAwAAAHh5enEoXXEpKEc+lqk9bpY7aUfACdcevQDpNkc/oufuAuDJRWV1fXEqKGgdXXErfXEsKGggaCFoIksBdWFoI11xLShHP9Wd10DvCIxHP+VnddA7wiNHP+/Jno9MuZdlaBh9cS5oJke/1jU/fO2RaHNoJ2ghaChdcS8oR0AGYNygeVVwR8ATYVaxlFZ4R0AWGkGUuvDQZXV9cTAoaB1dcTF9cTIoaCBoIWgiSwF1YWgjXXEzKEeAAAAAAAAAAEeAAAAAAAAAAEcAAAAAAAAAAGVoGH1xNGgmRz/kGJN0vGp/c2gnaCFoKF1xNShHAAAAAAAAAABHAAAAAAAAAABHAAAAAAAAAABldX1xNihoHV1xN31xOChoIFgCAAAARmVxOWgiSwF1YWgjXXE6KEeAAAAAAAAAAEc/4AAAAAAAAEc/4AAAAAAAAGVoGH1xO2gmRz/idsi0OVgQc2gnWAIAAABGZXE8aChdcT0oR0AGYNyKBCVUR7/51x4Cyl+1R0AGQBFzb+Q/ZXV9cT4oaB1dcT99cUAoaCBYAQAAAFNxQWgiSwF1YWgjXXFCKEc/xCAmkQ5at0c/z6Ubw1T+4Ec/0LuOtueIOmVoGH1xQ2gmRz+GhysCDEm6c2gnWAEAAABTcURoKF1xRShHP+4vk4GoxM5Hv/mzUnK6sn5HP/dE5LS0Ra1ldX1xRihoHV1xR31xSChoIGhBaCJLAXVhaCNdcUkoRz/qg3Xrv4E1Rz/imi8ASKU1Rz/Qu46254g6ZWgYfXFKaCZHP4iTdLxqfvpzaCdoRGgoXXFLKEc/7efwtfSC4kfAE291eMM0Y0c/90TkrJliOGV1fXFMKGgdXXFNfXFOKGggaEFoIksBdWFoI11xTyhHP99x42dt+FZHP+0ewrjMuq5HP9C7jrbniDplaBh9cVBoJkc/iJN0vGp++nNoJ2hEaChdcVEoR0ANu9h2yn9lR8AJzMd2UgMORz/3ROSvVnXtZXV9cVIoaB1dcVN9cVQoaCBoQWgiSwF1YWgjXXFVKEc/6vf2W7xpUkc/6Ba5DyrASEc/56I4pIw742VoGH1xVmgmRz+GhysCDEm6c2gnaERoKF1xVyhHP/2p79rDPjdHwBngEXNmHnRHQBBu2EOToPdldX1xWChoHV1xWX1xWihoIGhBaCJLAXVhaCNdcVsoRz/F8ihRAfstRz/ay6H/brWVRz/nojikjDvjZWgYfXFcaCZHP4iTdLxqfvpzaCdoRGgoXXFdKEc//c3BQJ1fKUfACbrhLqMtYUdAEG7YRZpZ1GV1fXFeKGgdXXFffXFgKGggaEFoIksBdWFoI11xYShHP+BHDkxJA9VHP7cJ6jmaKo5HP+eiOKSMO+NlaBh9cWJoJkc/iJN0vGp++nNoJ2hEaChdcWMoR7/ta+6j+rxlR8ATZoJU68mMR0AQbthE6xTnZXVldVgGAAAAdGFyZ2V0cWRHAAAAAAAAAAB1LlBLBwilWNBfpQYAAKUGAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABoAEwBtYi1tcC1nYXAtMDMzNjM5L2J5dGVvcmRlckZCDwBaWlpaWlpaWlpaWlpaWlpsaXR0bGVQSwcIhT3jGQYAAAAGAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAYADQAbWItbXAtZ2FwLTAzMzYzOS92ZXJzaW9uRkIwAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjMKUEsHCNGeZ1UCAAAAAgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAJwApAG1iLW1wLWdhcC0wMzM2MzkvLmRhdGEvc2VyaWFsaXphdGlvbl9pZEZCJQBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMDYzNjQ1NzczNzk0NjQwMTA1MTMwMDAwMDAxODA4MzkwNTE3MTA3OVBLBwgbQdUIKAAAACgAAABQSwECAAAAAAgIAAAAAAAApVjQX6UGAAClBgAAGQAAAAAAAAAAAAAAAAAAAAAAbWItbXAtZ2FwLTAzMzYzOS9kYXRhLnBrbFBLAQIAAAAACAgAAAAAAACFPeMZBgAAAAYAAAAaAAAAAAAAAAAAAAAAAPUGAABtYi1tcC1nYXAtMDMzNjM5L2J5dGVvcmRlclBLAQIAAAAACAgAAAAAAADRnmdVAgAAAAIAAAAYAAAAAAAAAAAAAAAAAFYHAABtYi1tcC1nYXAtMDMzNjM5L3ZlcnNpb25QSwECAAAAAAgIAAAAAAAAG0HVCCgAAAAoAAAAJwAAAAAAAAAAAAAAAADSBwAAbWItbXAtZ2FwLTAzMzYzOS8uZGF0YS9zZXJpYWxpemF0aW9uX2lkUEsGBiwAAAAAAAAAHgMtAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAACoBAAAAAAAAeAgAAAAAAABQSwYHAAAAAKIJAAAAAAAAAQAAAFBLBQYAAAAABAAEACoBAAB4CAAAAAA=" | ./matbench_mp_gap/mb-mp-gap-033639 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTAyMzkwNy9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQBvk2u9PWK5HAAAAAAAAAABHAAAAAAAAAABlXXENKEcAAAAAAAAAAEdAHDEeCH6pqUcAAAAAAAAAAGVdcQ4oRwAAAAAAAAAARwAAAAAAAAAAR0AkZYxM1O/cZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAG+Ta709YrlgBAAAAYnESR0AcMR4IfqmpWAEAAABjcRNHQCRljEzU79xYBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAVoAAAAAAAFgGAAAAdm9sdW1lcRdHQH9TzA00RMZ1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABMaXEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP8C+aYeuCb5HP9AAAAAAAABHP+f3NPWAH0plaBh9cSVYBgAAAG1hZ21vbXEmRwAAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAATGlxKFgDAAAAeHl6cSldcSooRz/tMNCRkEpwRz/8MR4IfqmpR0AejRzXUnJVZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/xaWRigCfYkc/6AAAAAAAAEc/SdeXgRCLvmVoGH1xL2gmRwAAAAAAAAAAc2gnWAIAAABMaXEwaCldcTEoRz/y3oKTOYrKR0AVJNaGXv8/Rz+AeMB0HIYKZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/1S03Ov+wT0c/0AAAAAAAAEc/4AZ15eBEI2VoGH1xNmgmRwAAAAAAAAAAc2gnWAIAAABMaXE3aCldcTgoR0ACdZmlspNJRz/8MR4IfqmpR0AUbcitDv4fZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/16DLPCj7IUc/6AAAAAAAAEc/z9zT1gB9KGVoGH1xPWgmRwAAAAAAAAAAc2gnWAIAAABMaXE+aCldcT8oR0AEmKbK60YSR0AVJNaGXv8/R0AETyEU+wTyZXV9cUAoaB1dcUF9cUIoaCBoIWgiSwF1YWgjXXFDKEc/5C+aYeuCcEc/0AAAAAAAAEc/6AjLCn/gtmVoGH1xRGgmRwAAAAAAAAAAc2gnWAIAAABMaXFFaCldcUYoR0ARmIeJ2bWlRz/8MR4IfqmpR0Aeo4gPLF0/ZXV9cUcoaB1dcUh9cUkoaCBoIWgiSwF1YWgjXXFKKEc/5WlkYoAn2Uc/6AAAAAAAAEc/3/MUND93umVoGH1xS2gmRwAAAAAAAAAAc2gnWAIAAABMaXFMaCldcU0oR0ASqg4cdg8KR0AVJNaGXv8/R0AUXU/smuGZZXV9cU4oaB1dcU99cVAoaCBoIWgiSwF1YWgjXXFRKEc/6pabnX/YJ0c/0AAAAAAAAEc/7/mKGh+73WVoGH1xUmgmRwAAAAAAAAAAc2gnWAIAAABMaXFTaCldcVQoR0AXLTpKgPX7Rz/8MR4IfqmpR0AkYW4ct+i6ZXV9cVUoaB1dcVZ9cVcoaCBoIWgiSwF1YWgjXXFYKEc/69BlnhR9kEc/6AAAAAAAAEc/0BGWFP/BbGVoGH1xWWgmRwAAAAAAAAAAc2gnWAIAAABMaXFaaCldcVsoR0AYPsDdHU9gR0AVJNaGXv8/R0AEe/eErtrGZXV9cVwoaB1dcV19cV4oaCBYAQAAAFZxX2giSwF1YWgjXXFgKEc/yO22kczxi0c/6AAAAAAAAEc/4eBpnNGyZWVoGH1xYWgmRwAAAAAAAAAAc2gnaF9oKV1xYihHP/W62k2svMtHQBUk1oZe/z9HQBbJ+WAoBf1ldX1xYyhoHV1xZH1xZShoIGhfaCJLAXVhaCNdcWYoRz/TiSS3GYc7Rz/QAAAAAAAARz+uBpnNGyZMZWgYfXFnaCZHAAAAAAAAAABzaCdoX2gpXXFoKEdAAQdtyHj6SUc//DEeCH6pqUc/4yNompixCWV1fXFpKGgdXXFqfXFrKGggaF9oIksBdWFoI11xbChHP+Y7baRzPGNHP+gAAAAAAABHP+4flmMuTZtlaBh9cW1oJkcAAAAAAAAAAHNoJ2hfaCldcW4oR0ATYSQLEtuKR0AVJNaGXv8/R0AjM1XDK2TLZXV9cW8oaB1dcXB9cXEoaCBoX2giSwF1YWgjXXFyKEc/6cSSW4zDnUc/0AAAAAAAAEc/3D8sxlybNmVoGH1xc2gmRwAAAAAAAAAAc2gnaF9oKV1xdChHQBZ2JFvkKXtHP/wxHgh+qalHQBIBHzmB2btldX1xdShoHV1xdn1xdyhoIFgBAAAARnF4aCJLAXVhaCNdcXkoRz+ntnb0/vALRz/QAAAAAAAARz/gclFmTxRlZWgYfXF6aCZHAAAAAAAAAABzaCdoeGgpXXF7KEc/1KuKqqiso0c//DEeCH6pqUdAFPdHmPrPzWV1fXF8KGgdXXF9fXF+KGggaHhoIksBdWFoI11xfyhHP60vMnKY+bdHP9AAAAAAAABHP70jO5leNWplaBh9cYBoJkcAAAAAAAAAAHNoJ2h4aCldcYEoRz/ZcIqD6h+FRz/8MR4IfqmpRz/yknw0EUMWZXV9cYIoaB1dcYN9cYQoaCBoeGgiSwF1YWgjXXGFKEc/ve7ts/gUpEc/6AAAAAAAAEc/xraMrvp+4mVoGH1xhmgmRwAAAAAAAAAAc2gnaHhoKV1xhyhHP+oXq7kJqy5HQBUk1oZe/z9HP/z0V10qCnJldX1xiChoHV1xiX1xiihoIGh4aCJLAXVhaCNdcYsoRz/AgPb16ykuRz/iPJcPe54GRz/li33tQLWoZWgYfXGMaCZHAAAAAAAAAABzaCdoeGgpXXGNKEc/7MWwUipEYkdAEBECEoDTGkdAG3ca33246mV1fXGOKGgdXXGPfXGQKGggaHhoIksBdWFoI11xkShHP8CA9vXrKS5HP+3DaPCEYfpHP+WLfe1AtahlaBh9cZJoJkcAAAAAAAAAAHNoJ2h4aCldcZMoRz/sxbBSKkRiR0AaOKr6PStjR0AbdxrffbjqZXV9cZQoaB1dcZV9cZYoaCBoeGgiSwF1YWgjXXGXKEc/zjdZyPQlK0c/sVA7K9ASfUc/7g/RhEGYp2VoGH1xmGgmRwAAAAAAAAAAc2gnaHhoKV1xmShHP/pWzNxRxttHP96BjcGCbLhHQCMpSK1UrMxldX1xmihoHV1xm31xnChoIGh4aCJLAXVhaCNdcZ0oRz/ON1nI9CUrRz/bq/E1C/thRz/uD9GEQZinZWgYfXGeaCZHAAAAAAAAAABzaCdoeGgpXXGfKEc/+lbM3FHG20dACGDsUE5cEkdAIylIrVSszGV1fXGgKGgdXXGhfXGiKGggaHhoIksBdWFoI11xoyhHP9DkUxuF7WpHP+IqB2V6AlBHP9wfowiDMU1laBh9caRoJkcAAAAAAAAAAHNoJ2h4aCldcaUoRz/9cukCTOqAR0AQAKfgV3ugR0AR7QUN1Gm8ZXV9caYoaB1dcad9cagoaCBoeGgiSwF1YWgjXXGpKEc/0ORTG4Xtakc/7dX4moX9sEc/3B+jCIMxTWVoGH1xqmgmRwAAAAAAAAAAc2gnaHhoKV1xqyhHP/1y6QJM6oBHQBpJBSxmgt1HQBHtBQ3UabxldX1xrChoHV1xrX1xrihoIGh4aCJLAXVhaCNdca8oRz/Xv4SFCmtpRz+x5Lh73PAwRz/GLfe1AtafZWgYfXGwaCZHAAAAAAAAAABzaCdoeGgpXXGxKEdABLNu2sTHlUc/34cw5BfkWUc//EY6SqMkOGV1fXGyKGgdXXGzfXG0KGggaHhoIksBdWFoI11xtShHP9e/hIUKa2lHP9uG0eEIw/RHP8Yt97UC1p9laBh9cbZoJkcAAAAAAAAAAHNoJ2h4aCldcbcoR0AEs27axMeVR0AIQDfr+60eRz/8RjpKoyQ4ZXV9cbgoaB1dcbl9cbooaCBoeGgiSwF1YWgjXXG7KEc/2IREkwH610c/0AAAAAAAAEc/5a2jK76fuGVoGH1xvGgmRwAAAAAAAAAAc2gnaHhoKV1xvShHQAVe8AEM7eJHP/wxHgh+qalHQBuioiQfcnhldX1xvihoHV1xv31xwChoIGh4aCJLAXVhaCNdccEoRz/cWhmxrODJRz/oAAAAAAAARz/jpGdzK8atZWgYfXHCaCZHAAAAAAAAAABzaCdoeGgpXXHDKEdACLbJntIUvUdAFSTWhl7/P0dAGQorWdlAoWV1fXHEKGgdXXHFfXHGKGggaHhoIksBdWFoI11xxyhHP90JMSFgIf9HP+gAAAAAAABHP4yUWZPFGU9laBh9cchoJkcAAAAAAAAAAHNoJ2h4aCldcckoR0AJT2mZ+kMaR0AVJNaGXv8/Rz/CN2mEu/4wZXV9ccooaB1dcct9ccwoaCBoeGgiSwF1YWgjXXHNKEc/4Xtnb0/vAUc/0AAAAAAAAEc/742umbDrm2VoGH1xzmgmRwAAAAAAAAAAc2gnaHhoKV1xzyhHQA56TESkbkNHP/wxHgh+qalHQCQcrqbB/+NldX1x0ChoHV1x0X1x0ihoIGh4aCJLAXVhaCNdcdMoRz/h0vMnKY+bRz/QAAAAAAAARz/YtzEZqHKlZWgYfXHUaCZHAAAAAAAAAABzaCdoeGgpXXHVKEdADxLsP8ycnkc//DEeCH6pqUdAD4Haf6E+LWV1fXHWKGgdXXHXfXHYKGggaHhoIksBdWFoI11x2ShHP+O93bZ/ApVHP+gAAAAAAABHP9SkuaiCwI9laBh9cdpoJkcAAAAAAAAAAHNoJ2h4aCldcdsoR0ARNWLuyOG9R0AVJNaGXv8/R0AKUOzrFNp/ZXV9cdwoaB1dcd19cd4oaCBoeGgiSwF1YWgjXXHfKEc/5CA9vXrKTEc/7cNo8IRh+kc/6nSCEr9KWGVoGH1x4GgmRwAAAAAAAAAAc2gnaHhoKV1x4ShHQBGLI4Hs9ORHQBo4qvo9K2NHQCDcxQOAi1VldX1x4ihoHV1x431x5ChoIGh4aCJLAXVhaCNdceUoRz/kID29espMRz/iPJcPe54GRz/qdIISv0pYZWgYfXHmaCZHAAAAAAAAAABzaCdoeGgpXXHnKEdAEYsjgez05EdAEBECEoDTGkdAINzFA4CLVWV1fXHoKGgdXXHpfXHqKGggaHhoIksBdWFoI11x6yhHP+eN1nI9CUtHP7FQOyvQEn1HP+HwLnu+Z1llaBh9cexoJkcAAAAAAAAAAHNoJ2h4aCldce0oR0AUiCCuvB4ORz/egY3Bgmy4R0AW3hOL1XX8ZXV9ce4oaB1dce99cfAoaCBoeGgiSwF1YWgjXXHxKEc/543Wcj0JS0c/26vxNQv7YUc/4fAue75nWWVoGH1x8mgmRwAAAAAAAAAAc2gnaHhoKV1x8yhHQBSIIK68Hg5HQAhg7FBOXBJHQBbeE4vVdfxldX1x9ChoHV1x9X1x9ihoIGh4aCJLAXVhaCNdcfcoRz/ocimNwva1Rz/t1fiahf2wRz+vAue75nWVZWgYfXH4aCZHAAAAAAAAAABzaCdoeGgpXXH5KEdAFU8nuDrm90dAGkkFLGaC3Uc/48Q5+AQxAWV1fXH6KGgdXXH7fXH8KGggaHhoIksBdWFoI11x/ShHP+hyKY3C9rVHP+IqB2V6AlBHP68C57vmdZVlaBh9cf5oJkcAAAAAAAAAAHNoJ2h4aCldcf8oR0AVTye4Oub3R0AQAKfgV3ugRz/jxDn4BDEBZXV9cgABAAAoaB1dcgEBAAB9cgIBAAAoaCBoeGgiSwF1YWgjXXIDAQAAKEc/69/CQoU1tEc/seS4e9zwMEc/1OkEJX6UsGVoGH1yBAEAAGgmRwAAAAAAAAAAc2gnaHhoKV1yBQEAAChHQBhMJOUKECFHP9+HMOQX5FlHQAqn+3RYTZtldX1yBgEAAChoHV1yBwEAAH1yCAEAAChoIGh4aCJLAXVhaCNdcgkBAAAoRz/r38JChTW0Rz/bhtHhCMP0Rz/U6QQlfpSwZWgYfXIKAQAAaCZHAAAAAAAAAABzaCdoeGgpXXILAQAAKEdAGEwk5QoQIUdACEA36/utHkdACqf7dFhNm2V1fXIMAQAAKGgdXXINAQAAfXIOAQAAKGggaHhoIksBdWFoI11yDwEAAChHP+xCIkmA/WtHP9AAAAAAAABHP+pSXNRBYEhlaBh9chABAABoJkcAAAAAAAAAAHNoJ2h4aCldchEBAAAoR0AYoeV4LiNIRz/8MR4IfqmpR0AgxwFhL66OZXV9chIBAAAoaB1dchMBAAB9chQBAAAoaCBoeGgiSwF1YWgjXXIVAQAAKEc/7i0M2NZwZUc/6AAAAAAAAEc/7FuYjNQ5U2VoGH1yFgEAAGgmRwAAAAAAAAAAc2gnaHhoKV1yFwEAAChHQBpN0kcQtrZHQBUk1oZe/z9HQCITPMZSx3lldX1yGAEAAChoHV1yGQEAAH1yGgEAAChoIGh4aCJLAXVhaCNdchsBAAAoRz/uhJiQsBD/Rz/oAAAAAAAARz/fG10zYdc2ZWgYfXIcAQAAaCZHAAAAAAAAAABzaCdoeGgpXXIdAQAAKEdAGpoiRKTN5EdAFSTWhl7/P0dAE9PRAK8P62V1ZXVYBgAAAHRhcmdldHIeAQAARz/7v7FbVz6sdS5QSwcIrfxtEmsUAABrFAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAaAA0AbWItbXAtZ2FwLTAyMzkwNy9ieXRlb3JkZXJGQgkAWlpaWlpaWlpabGl0dGxlUEsHCIU94xkGAAAABgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGAA0AG1iLW1wLWdhcC0wMjM5MDcvdmVyc2lvbkZCMABaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlozClBLBwjRnmdVAgAAAAIAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAACcAKQBtYi1tcC1nYXAtMDIzOTA3Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRGQiUAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjA2MzY0NTc3Mzc5NDY0MDEwNTEzMDAwMDAwMTI0NjQ0MTU3MzY1NTFQSwcIy57rOCgAAAAoAAAAUEsBAgAAAAAICAAAAAAAAK38bRJrFAAAaxQAABkAAAAAAAAAAAAAAAAAAAAAAG1iLW1wLWdhcC0wMjM5MDcvZGF0YS5wa2xQSwECAAAAAAgIAAAAAAAAhT3jGQYAAAAGAAAAGgAAAAAAAAAAAAAAAAC7FAAAbWItbXAtZ2FwLTAyMzkwNy9ieXRlb3JkZXJQSwECAAAAAAgIAAAAAAAA0Z5nVQIAAAACAAAAGAAAAAAAAAAAAAAAAAAWFQAAbWItbXAtZ2FwLTAyMzkwNy92ZXJzaW9uUEsBAgAAAAAICAAAAAAAAMue6zgoAAAAKAAAACcAAAAAAAAAAAAAAAAAkhUAAG1iLW1wLWdhcC0wMjM5MDcvLmRhdGEvc2VyaWFsaXphdGlvbl9pZFBLBgYsAAAAAAAAAB4DLQAAAAAAAAAAAAQAAAAAAAAABAAAAAAAAAAqAQAAAAAAADgWAAAAAAAAUEsGBwAAAABiFwAAAAAAAAEAAABQSwUGAAAAAAQABAAqAQAAOBYAAAAA" | ./matbench_mp_gap/mb-mp-gap-023907 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-069995 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-086693 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-004161 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-010776 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-051502 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-069119 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-073069 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-013240 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-068472 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-094357 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-031498 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-087393 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-067475 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-002210 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTAxMzY0Mi9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHAAAAAAAAAABHAAAAAAAAAABHwA9jfdfHJsZlXXENKEfAE57XTjAOvEe/wfGW8R25+kcAAAAAAAAAAGVdcQ4oR8ACpjSpKgViR0ARRa7QuGm+RwAAAAAAAAAAZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAD2N918cmxlgBAAAAYnESR0AToORTc5pPWAEAAABjcRNHQBOg5FkWtEhYBQAAAGFscGhhcRRHQE+jFI69PTFYBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAVoAAAAAAAFgGAAAAdm9sdW1lcRdHQFUYsD1tgVF1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABQcnEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHAAAAAAAAAABHP+//1U1O6EVHPvVZWIvdQ2hlaBh9cSVYBgAAAG1hZ21vbXEmR7+9LxqfvnbJc1gFAAAAbGFiZWxxJ1gCAAAAUHJxKFgDAAAAeHl6cSldcSooR8ATnsmRScFkR7/B7p2Cv+U0RwAAAAAAAAAAZXV9cSsoaB1dcSx9cS0oaCBYAgAAAENvcS5oIksBdWFoI11xLyhHgAAAAAAAAABHP9XbNGPfzlxHP9Xb8cNRTftlaBh9cTBoJkc/7U/fO2RaHXNoJ1gCAAAAQ29xMWgpXXEyKEfAA8VE8qYxREc/9tTM2i/Y1UcAAAAAAAAAAGV1fXEzKGgdXXE0fXE1KGggaC5oIksBdWFoI11xNihHgAAAAAAAAABHP+USBx5XWQJHP+USZc4QGNJlaBh9cTdoJkc/7U/fO2RaHXNoJ1gCAAAAQ29xOGgpXXE5KEfAEw8wsm046UdABgJHTd7xCkcAAAAAAAAAAGV1fXE6KGgdXXE7fXE8KGggaC5oIksBdWFoI11xPShHP+AAAAAAAABHP9//0BneTX5HPumV0zt71xFlaBh9cT5oJkc/62RaHKwIMXNoJ1gCAAAAQ29xP2gpXXFAKEfAA57I2POjFEe/se4IQXmNuUe//2N918cmxmV1fXFBKGgdXXFCfXFDKGggaC5oIksBdWFoI11xRChHP+AAAAAAAABHP+//5mosxIRHP+AAF/MQ2UFlaBh9cUVoJkc/6sCDEm6XjXNoJ1gCAAAAQ29xRmgpXXFHKEfAGEhbwxQiQEdAACawIcJtuEe//2N918cmxmV1fXFIKGgdXXFJfXFKKGggWAIAAABTaXFLaCJLAXVhaCNdcUwoRz/gAAAAAAAARz/f/9JobSbKRz/gABbLyWybZWgYfXFNaCZHv564UeuFHrhzaCdYAgAAAFNpcU5oKV1xTyhHwAzx4vd+r0BHQAC2O4GDOmFHv/9jfdfHJsZldWV1WAYAAAB0YXJnZXRxUEcAAAAAAAAAAHUuUEsHCMwxZnYABQAAAAUAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgA4AG1iLW1wLWdhcC0wMTM2NDIvYnl0ZW9yZGVyRkI0AFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpsaXR0bGVQSwcIhT3jGQYAAAAGAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAYADQAbWItbXAtZ2FwLTAxMzY0Mi92ZXJzaW9uRkIwAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjMKUEsHCNGeZ1UCAAAAAgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAJwApAG1iLW1wLWdhcC0wMTM2NDIvLmRhdGEvc2VyaWFsaXphdGlvbl9pZEZCJQBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMDYzNjQ1NzczNzk0NjQwMTA1MTMwMDAwMDAxOTM1MzA1MzgxMTA5OFBLBwgcMxGvKAAAACgAAABQSwECAAAAAAgIAAAAAAAAzDFmdgAFAAAABQAAGQAAAAAAAAAAAAAAAAAAAAAAbWItbXAtZ2FwLTAxMzY0Mi9kYXRhLnBrbFBLAQIAAAAACAgAAAAAAACFPeMZBgAAAAYAAAAaAAAAAAAAAAAAAAAAAFAFAABtYi1tcC1nYXAtMDEzNjQyL2J5dGVvcmRlclBLAQIAAAAACAgAAAAAAADRnmdVAgAAAAIAAAAYAAAAAAAAAAAAAAAAANYFAABtYi1tcC1nYXAtMDEzNjQyL3ZlcnNpb25QSwECAAAAAAgIAAAAAAAAHDMRrygAAAAoAAAAJwAAAAAAAAAAAAAAAABSBgAAbWItbXAtZ2FwLTAxMzY0Mi8uZGF0YS9zZXJpYWxpemF0aW9uX2lkUEsGBiwAAAAAAAAAHgMtAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAACoBAAAAAAAA+AYAAAAAAABQSwYHAAAAACIIAAAAAAAAAQAAAFBLBQYAAAAABAAEACoBAAD4BgAAAAA=" | ./matbench_mp_gap/mb-mp-gap-013642 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-069807 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-040636 | /tmp/hf-datasets-cache/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.