pt unknown | __key__ stringlengths 12 34 | __url__ stringclasses 2
values |
|---|---|---|
"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" | ./matbench_mp_gap/mb-mp-gap-079679 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-064639 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-058638 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-020501 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-091129 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA2MjQ5Ni9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHAAAAAAAAAABHAAAAAAAAAABHQA4cODIgjpZlXXENKEdAKnEo9ZecPkcAAAAAAAAAAEcAAAAAAAAAAGVdcQ4oR4AAAAAAAAAAR0Av6+MrXfy1RwAAAAAAAAAAZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdADhw4MiCOllgBAAAAYnESR0AqcSj1l5w+WAEAAABjcRNHQC/r4ytd/LVYBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAVoAAAAAAAFgGAAAAdm9sdW1lcRdHQIjRxI4SUJ51WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABIb3EhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHAAAAAAAAAABHP+GYxkUeQjVHP9H0891c5+JlaBh9cSVYBgAAAG1hZ21vbXEmRz+dsi0OVgQZc1gFAAAAbGFiZWxxJ1gCAAAASG9xKFgDAAAAeHl6cSldcSooR0AdFLY0oxe9R0AR6aqXS3KaRwAAAAAAAAAAZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEcAAAAAAAAAAEc/3M5zdcN7lUc/5wWGEVGMD2VoGH1xL2gmRz+dsi0OVgQZc2gnWAIAAABIb3EwaCldcTEoR0AXzZu2jCC/R0Am9w3fuENoRwAAAAAAAAAAZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/4AAAAAAAAEc/7mc5uuG9y0c/6Pp57q5z8WVoGH1xNmgmRz+dsi0OVgQZc2gnWAIAAABIb3E3aCldcTgoR0ApH2JWEd5/R0Ao6sbhVLenRz/+HDgyII6WZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/4AAAAAAAAEc/qYxkUeQjVkc/zBYYRUYwO2VoGH1xPWgmRz+dsi0OVgQZc2gnWAIAAABIb3E+aCldcT8oRz/lHGn4W9v6R0AMBHEoJRQ2Rz/+HDgyII6WZXV9cUAoaB1dcUF9cUIoaCBoIWgiSwF1YWgjXXFDKEeAAAAAAAAAAEc/6B8OTaCcw0c/uP3sKYlmRmVoGH1xRGgmRz+OuFHrhR64c2gnWAIAAABIb3FFaCldcUYoR0Aj7ogpho1lRz/47jbxsAdtRwAAAAAAAAAAZXV9cUcoaB1dcUh9cUkoaCBoIWgiSwF1YWgjXXFKKEeAAAAAAAAAAEc/z4PGyX2M9Ec/7OBCes7TN2VoGH1xS2gmRz+OuFHrhR64c2gnWAIAAABIb3FMaCldcU0oR0AKCoMwRDtlR0AszhxNJ/vHRwAAAAAAAAAAZXV9cU4oaB1dcU99cVAoaCBoIWgiSwF1YWgjXXFRKEc/4AAAAAAAAEc/5+Dxsl9jPUc/4x+9hTEsyWVoGH1xUmgmRz+OuFHrhR64c2gnWAIAAABIb3FTaCldcVQoR0AjuzVG3Nz4R0AjE7hz5P9IRz/+HDgyII6WZXV9cVUoaB1dcVZ9cVcoaCBoIWgiSwF1YWgjXXFYKEc/4AAAAAAAAEc/0D4cm0E5hkc/2cCE9Z2mb2VoGH1xWWgmRz+OuFHrhR64c2gnWAIAAABIb3FaaCldcVsoR0AK18666v0XR0AZsFVu8fraRz/+HDgyII6WZXV9cVwoaB1dcV19cV4oaCBoIWgiSwF1YWgjXXFfKEcAAAAAAAAAAEc/1HZDfi8E+0c/wwRujynUD2VoGH1xYGgmRz+Kn752yLQ5c2gnWAIAAABIb3FhaCldcWIoR0AQ6HKluo6FR0AC+Hqn0ffNRwAAAAAAAAAAZXV9cWMoaB1dcWR9cWUoaCBoIWgiSwF1YWgjXXFmKEeAAAAAAAAAAEc/5cTeQOh9gkc/6z7kXDWK/GVoGH1xZ2gmRz+Kn752yLQ5c2gnWAIAAABIb3FoaCldcWkoR0Ah/O+iulT7R0ArLcSBaX7CRwAAAAAAAAAAZXV9cWooaB1dcWt9cWwoaCBoIWgiSwF1YWgjXXFtKEc/4AAAAAAAAEc/xxN5A6H2Ckc/5MEbo8p1BGVoGH1xbmgmRz+Kn752yLQ5c2gnWAIAAABIb3FvaCldcXAoR0ADEWyfuhtyR0AktBA/o3xORz/+HDgyII6WZXV9cXEoaB1dcXJ9cXMoaCBoIWgiSwF1YWgjXXF0KEc/4AAAAAAAAEc/6jshvxeCfkc/1n3IuGsV+WVoGH1xdWgmRz+Kn752yLQ5c2gnWAIAAABIb3F2aCldcXcoR0AlrM3NqRViR0AWb6XXdQDPRz/+HDgyII6WZXV9cXgoaB1dcXl9cXooaCBYAgAAAENycXtoIksBdWFoI11xfChHgAAAAAAAAABHgAAAAAAAAABHP+AAAAAAAABlaBh9cX1oJkdABxBiTdLxqnNoJ1gCAAAAQ3JxfmgpXXF/KEcAAAAAAAAAAEdAH+vjK138tUcAAAAAAAAAAGV1fXGAKGgdXXGBfXGCKGggaHtoIksBdWFoI11xgyhHP+AAAAAAAABHP+AAAAAAAABHAAAAAAAAAABlaBh9cYRoJkdABxBiTdLxqnNoJ1gCAAAAQ3JxhWgpXXGGKEdAGnEo9ZecPkcAAAAAAAAAAEc//hw4MiCOlmV1fXGHKGgdXXGIfXGJKGggaHtoIksBdWFoI11xiihHAAAAAAAAAABHgAAAAAAAAABHgAAAAAAAAABlaBh9cYtoJkdABsKPXCj1w3NoJ1gCAAAAQ3JxjGgpXXGNKEcAAAAAAAAAAEcAAAAAAAAAAEcAAAAAAAAAAGV1fXGOKGgdXXGPfXGQKGggaHtoIksBdWFoI11xkShHP+AAAAAAAABHP+AAAAAAAABHP+AAAAAAAABlaBh9cZJoJkdABsKPXCj1w3NoJ1gCAAAAQ3Jxk2gpXXGUKEdAGnEo9ZecPkdAH+vjK138tUc//hw4MiCOlmV1fXGVKGgdXXGWfXGXKGggWAEAAABTcZhoIksBdWFoI11xmShHAAAAAAAAAABHP77riCPQabpHP7um0TqasJtlaBh9cZpoJke/km6XjU/fO3NoJ1gBAAAAU3GbaCldcZwoRz/5jLXpj8NWRz/7lXAOIdMlRwAAAAAAAAAAZXV9cZ0oaB1dcZ59cZ8oaCBomGgiSwF1YWgjXXGgKEeAAAAAAAAAAEc/7CKO+4XyyUc/7Isl2Kyp7WVoGH1xoWgmR7+SbpeNT987c2gnaJtoKV1xoihHQCc/kjhlo9NHQCx5NSmZwlFHAAAAAAAAAABldX1xoyhoHV1xpH1xpShoIGiYaCJLAXVhaCNdcaYoRz/gAAAAAAAARz/YRR33C+WRRz/jdNonU1YTZWgYfXGnaCZHv5Jul41P3ztzaCdom2gpXXGoKEdAFA37ezOraEdAI2ifl3M4v0c//hw4MiCOlmV1fXGpKGgdXXGqfXGrKGggaJhoIksBdWFoI11xrChHP+AAAAAAAABHP+PdcQR6DTdHP9kWS7FZU9llaBh9ca1oJke/km6XjU/fO3NoJ2ibaCldca4oR0Agais3/caKR0AZBocn1YfrRz/+HDgyII6WZXV9ca8oaB1dcbB9cbEoaCBomGgiSwF1YWgjXXGyKEeAAAAAAAAAAEc/yAT3i5JE50c/0oUGGXSbMmVoGH1xs2gmR79wYk3S8an8c2gnaJtoKV1xtChHQAPY+WoY9vFHQBJ5YkYwUExHAAAAAAAAAABldX1xtShoHV1xtn1xtyhoIGiYaCJLAXVhaCNdcbgoR4AAAAAAAAAARz/p/sIdG27GRz/mvXzzRbJnZWgYfXG5aCZHv3BiTdLxqfxzaCdom2gpXXG6KEdAJXrqmxFegUdAJq8yCEXUj0cAAAAAAAAAAGV1fXG7KGgdXXG8fXG9KGggaJhoIksBdWFoI11xvihHP+AAAAAAAABHP9P9hDo23Y1HP+lCgwy6TZllaBh9cb9oJke/cGJN0vGp/HNoJ2ibaCldccAoR0AQhKxAiyDGR0ApMqK4xyaARz/+HDgyII6WZXV9ccEoaB1dccJ9ccMoaCBomGgiSwF1YWgjXXHEKEc/4AAAAAAAAEc/5gE94uSROkc/yvXzzRbJm2VoGH1xxWgmR79wYk3S8an8c2gnaJtoKV1xxihHQCIu0tVSC9xHQArlAcpbWNJHP/4cODIgjpZldX1xxyhoHV1xyH1xyShoIGiYaCJLAXVhaCNdccooRwAAAAAAAAAARz/HFOpy0AE1Rz/gsaCm1BTAZWgYfXHLaCZHv5iTdLxqfvpzaCdom2gpXXHMKEdAAxKd5Hj9Z0dAIKcimBHw80cAAAAAAAAAAGV1fXHNKGgdXXHOfXHPKGggaJhoIksBdWFoI11x0ChHgAAAAAAAAABHP+o6xWNL/7NHP96cvrJX1oFlaBh9cdFoJke/mJN0vGp++nNoJ2ibaCldcdIoR0AlrIF8eVzkR0AeiYEmmBeFRwAAAAAAAAAAZXV9cdMoaB1dcdR9cdUoaCBomGgiSwF1YWgjXXHWKEc/4AAAAAAAAEc/1HWKxpf/Zkc/ljQU2oKX9WVoGH1x12gmR7+Yk3S8an76c2gnaJtoKV1x2ChHQBDn2gNbHYtHP9YmIExeUwpHP/4cODIgjpZldX1x2ShoHV1x2n1x2yhoIGiYaCJLAXVhaCNdcdwoRz/gAAAAAAAARz/lxTqctABNRz/vTl9ZK+tAZWgYfXHdaCZHv5iTdLxqfvpzaCdom2gpXXHeKEdAIf078+oNeUdALzqyKPsKHEc//hw4MiCOlmV1fXHfKGgdXXHgfXHhKGggaJhoIksBdWFoI11x4ihHgAAAAAAAAABHP+DCrVQLmulHP7jy5I6Kcd5laBh9ceNoJke/q6XjU/fO2XNoJ2ibaCldceQoR0AbsuN4qY7TRz/44zZFYeQ3RwAAAAAAAAAAZXV9ceUoaB1dceZ9cecoaCBomGgiSwF1YWgjXXHoKEcAAAAAAAAAAEc/3nqlV+jKLkc/7OGjbi6xxGVoGH1x6WgmR7+rpeNT987Zc2gnaJtoKV1x6ihHQBkvbnKFqalHQCzPfGKxwC5HAAAAAAAAAABldX1x6yhoHV1x7H1x7ShoIGiYaCJLAXVhaCNdce4oRz/gAAAAAAAARz/vPVKr9GUXRz/jHlyR0U48ZWgYfXHvaCZHv6ul41P3ztlzaCdom2gpXXHwKEdAKdBLtA6i80dAIxJYXls64kc//hw4MiCOlmV1fXHxKGgdXXHyfXHzKGggaJhoIksBdWFoI11x9ChHP+AAAAAAAABHP5hVqoFzXRpHP9nDRtxdY4hlaBh9cfVoJke/q6XjU/fO2XNoJ2ibaCldcfYoRz/UG6gxHylTR0AZsxWaBYOnRz/+HDgyII6WZXV9cfcoaB1dcfh9cfkoaCBomGgiSwF1YWgjXXH6KEeAAAAAAAAAAEc/uoVVPva11Ec/6CM0mDgapGVoGH1x+2gmR790euFHrhR7c2gnaJtoKV1x/ChHP/XqHgpj1PRHQCgUCNgngTxHAAAAAAAAAABldX1x/ShoHV1x/n1x/yhoIGiYaCJLAXVhaCNdcgABAAAoRwAAAAAAAAAARz/sr1VYISlFRz/Pcy2fH5VyZWgYfXIBAQAAaCZHv3R64UeuFHtzaCdom2gpXXICAQAAKEdAJ7PlNEshn0dAD19pTNnt50cAAAAAAAAAAGV1fXIDAQAAKGgdXXIEAQAAfXIFAQAAKGggaJhoIksBdWFoI11yBgEAAChHP+AAAAAAAABHP9leqrBCUotHP9BGaTBwNUdlaBh9cgcBAABoJke/dHrhR64Ue3NoJ2ibaCldcggBAAAoR0AU9qFy/qcBR0AQPC6E8QXBRz/+HDgyII6WZXV9cgkBAAAoaB1dcgoBAAB9cgsBAAAoaCBomGgiSwF1YWgjXXIMAQAAKEc/4AAAAAAAAEc/41Cqp97Wu0c/59zLZ8flXGVoGH1yDQEAAGgmR790euFHrhR7c2gnaJtoKV1yDgEAAChHQB/rsHgwkXxHQCfNy+jledRHP/4cODIgjpZldX1yDwEAAChoHV1yEAEAAH1yEQEAAChoIGiYaCJLAXVhaCNdchIBAAAoR4AAAAAAAAAARz/arUnlJl/mRz/bMZ/KthwxZWgYfXITAQAAaCZHv6kWhysCDEpzaCdom2gpXXIUAQAAKEdAFgsiHHndlUdAGyCIRrkoXEcAAAAAAAAAAGV1fXIVAQAAKGgdXXIWAQAAfXIXAQAAKGggaJhoIksBdWFoI11yGAEAAChHAAAAAAAAAABHP+KpWw1s0A1HP+JnMBqk8edlaBh9chkBAABoJke/qRaHKwIMSnNoJ2ibaCldchoBAAAoR0Ae1y/OtVrnR0AiW58IAWiHRwAAAAAAAAAAZXV9chsBAAAoaB1dchwBAAB9ch0BAAAoaCBomGgiSwF1YWgjXXIeAQAAKEc/4AAAAAAAAEc/tUrYa2aAaEc/7ZjP5VsOGWVoGH1yHwEAAGgmR7+pFocrAgxKc2gnaJtoKV1yIAEAAChHP/GYG2R2+qRHQC2GNbkLkolHP/4cODIgjpZldX1yIQEAAChoHV1yIgEAAH1yIwEAAChoIGiYaCJLAXVhaCNdciQBAAAoRz/gAAAAAAAARz/tVqTyky/zRz+zOYDVJ487ZWgYfXIlAQAAaCZHv6kWhysCDEpzaCdom2gpXXImAQAAKEdAKD4liQi86kc/8y1rkpNRZEc//hw4MiCOlmV1ZXVYBgAAAHRhcmdldHInAQAARz/SV6eGwiaAdS5QSwcIklKtAcUUAADFFAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAaADMAbWItbXAtZ2FwLTA2MjQ5Ni9ieXRlb3JkZXJGQi8AWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpsaXR0bGVQSwcIhT3jGQYAAAAGAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAYADQAbWItbXAtZ2FwLTA2MjQ5Ni92ZXJzaW9uRkIwAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjMKUEsHCNGeZ1UCAAAAAgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAJwApAG1iLW1wLWdhcC0wNjI0OTYvLmRhdGEvc2VyaWFsaXphdGlvbl9pZEZCJQBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMDYzNjQ1NzczNzk0NjQwMTA1MTMwMDAwMDAxMTIyMjQwNDY4MDQ0M1BLBwg42DbSKAAAACgAAABQSwECAAAAAAgIAAAAAAAAklKtAcUUAADFFAAAGQAAAAAAAAAAAAAAAAAAAAAAbWItbXAtZ2FwLTA2MjQ5Ni9kYXRhLnBrbFBLAQIAAAAACAgAAAAAAACFPeMZBgAAAAYAAAAaAAAAAAAAAAAAAAAAABUVAABtYi1tcC1nYXAtMDYyNDk2L2J5dGVvcmRlclBLAQIAAAAACAgAAAAAAADRnmdVAgAAAAIAAAAYAAAAAAAAAAAAAAAAAJYVAABtYi1tcC1nYXAtMDYyNDk2L3ZlcnNpb25QSwECAAAAAAgIAAAAAAAAONg20igAAAAoAAAAJwAAAAAAAAAAAAAAAAASFgAAbWItbXAtZ2FwLTA2MjQ5Ni8uZGF0YS9zZXJpYWxpemF0aW9uX2lkUEsGBiwAAAAAAAAAHgMtAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAACoBAAAAAAAAuBYAAAAAAABQSwYHAAAAAOIXAAAAAAAAAQAAAFBLBQYAAAAABAAEACoBAAC4FgAAAAA=" | ./matbench_mp_gap/mb-mp-gap-062496 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-062000 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-105523 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-085458 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-004369 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-014127 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-047999 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-060325 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-085489 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA2MjUzNy9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHwAFeyepEVvJHwA4Vfo9SF/tHAAAAAAAAAABlXXENKEfAAV8K5+WB+kdADhWkE/D4pkcAAAAAAAAAAGVdcQ4oRwAAAAAAAAAARwAAAAAAAAAAR8AS1JqSEhDPZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAEV6KxUY5dFgBAAAAYnESR0ARXqtDzD7LWAEAAABjcRNHQBLUmpISEM9YBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAXf+0ZhzaTlgGAAAAdm9sdW1lcRdHQFM4RvkZsqd1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABTcnEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP+//3PTjFmVHPuHuPw1cCRVHgAAAAAAAAABlaBh9cSVYBgAAAG1hZ21vbXEmRwAAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAAU3JxKFgDAAAAeHl6cSldcSooR8ABXsCgYh49R8AOFUzB4bM0RwAAAAAAAAAAZXV9cSsoaB1dcSx9cS0oaCBYAgAAAEdhcS5oIksBdWFoI11xLyhHP9VU2eGIRbRHP+VVRJAn1d1HP+AAAAAAAABlaBh9cTBoJkeAAAAAAAAAAHNoJ1gCAAAAR2FxMWgpXXEyKEfAAV7KodvTdEc/9A7a7M2k9EfAAtSakhIQz2V1fXEzKGgdXXE0fXE1KGggWAIAAABHZXE2aCJLAXVhaCNdcTcoRz/lVORon9GXRz/VVVMDMjmORz/gAAAAAAAAZWgYfXE4aCZHAAAAAAAAAABzaCdYAgAAAEdlcTloKV1xOihHwAFeoaagySpHv/QNaTeB8NNHwALUmpISEM9ldWV1WAYAAAB0YXJnZXRxO0cAAAAAAAAAAHUuUEsHCPlD9aGYAwAAmAMAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgAgAG1iLW1wLWdhcC0wNjI1MzcvYnl0ZW9yZGVyRkIcAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpsaXR0bGVQSwcIhT3jGQYAAAAGAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAYADQAbWItbXAtZ2FwLTA2MjUzNy92ZXJzaW9uRkIwAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjMKUEsHCNGeZ1UCAAAAAgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAJwApAG1iLW1wLWdhcC0wNjI1MzcvLmRhdGEvc2VyaWFsaXphdGlvbl9pZEZCJQBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMDYzNjQ1NzczNzk0NjQwMTA1MTMwMDAwMDAyMjUxMjk2ODcxNzQ4MFBLBwjcDUBgKAAAACgAAABQSwECAAAAAAgIAAAAAAAA+UP1oZgDAACYAwAAGQAAAAAAAAAAAAAAAAAAAAAAbWItbXAtZ2FwLTA2MjUzNy9kYXRhLnBrbFBLAQIAAAAACAgAAAAAAACFPeMZBgAAAAYAAAAaAAAAAAAAAAAAAAAAAOgDAABtYi1tcC1nYXAtMDYyNTM3L2J5dGVvcmRlclBLAQIAAAAACAgAAAAAAADRnmdVAgAAAAIAAAAYAAAAAAAAAAAAAAAAAFYEAABtYi1tcC1nYXAtMDYyNTM3L3ZlcnNpb25QSwECAAAAAAgIAAAAAAAA3A1AYCgAAAAoAAAAJwAAAAAAAAAAAAAAAADSBAAAbWItbXAtZ2FwLTA2MjUzNy8uZGF0YS9zZXJpYWxpemF0aW9uX2lkUEsGBiwAAAAAAAAAHgMtAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAACoBAAAAAAAAeAUAAAAAAABQSwYHAAAAAKIGAAAAAAAAAQAAAFBLBQYAAAAABAAEACoBAAB4BQAAAAA=" | ./matbench_mp_gap/mb-mp-gap-062537 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTAwMjQ4MS9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQB342Nsi+9hHAAAAAAAAAABHAAAAAAAAAABlXXENKEcAAAAAAAAAAEdAIBhLrFDWXEc/llV7MaSSx2VdcQ4oRwAAAAAAAAAARz+kIqRvtnFBR0ArxLwmC4JqZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAHfjY2yL72FgBAAAAYnESR0AgGE+MCeVwWAEAAABjcRNHQCvEw3LkfX5YBQAAAGFscGhhcRRHQFZrrOKHPH5YBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAVoAAAAAAAFgGAAAAdm9sdW1lcRdHQIoprJTJLlh1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABCZXEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP+rOFyS0wDxHP+2huHGhAhlHP+iWNPsJdiBlaBh9cSVYBgAAAG1hZ21vbXEmRz94k3S8an76c1gFAAAAbGFiZWxxJ1gCAAAAQmVxKFgDAAAAeHl6cSldcSooR0AZGzfTTDseR0Ad7agpledbR0AlYDxzPd/3ZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/5RvTu1N9q0c/7fDM/HKB00c/2cGZUnbwTGVoGH1xL2gmRz90euFHrhR7c2gnWAIAAABCZXEwaCldcTEoR0ATxV6XEiYgR0AeLnitAnvJR0AWbpggg3U6ZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/xG9XUMnHCUc/4g8zA41+LUc/uPmatiQ+z2VoGH1xNmgmRz90euFHrhR7c2gnWAIAAABCZXE3aCldcTgoRz/zI9CBZq4qR0ASLoz8X728Rz/13pD5ShAvZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/1chUV5scfEc/sHmHVXRQtUc/4x8zVsSH2mVoGH1xPWgmRz90euFHrhR7c2gnWAIAAABCZXE+aCldcT8oR0AEZvCab6TERz/hUw7Dg4ENR0AgmJrSp0BgZXV9cUAoaB1dcUF9cUIoaCBoIWgiSwF1YWgjXXFDKEc/6uQqK82OPkc/2+GZ+OUDpUc/7ODMqTt4JmVoGH1xRGgmRz90euFHrhR7c2gnWAIAAABCZXFFaCldcUYoR0AZL+S6yVBOR0AMVJ9KQre8R0ApFBTEexKuZXV9cUcoaB1dcUh9cUkoaCBoIWgiSwF1YWgjXXFKKEc/xET/+crcs0c/44awGAs5mkc/2rSxN5r252VoGH1xS2gmRz94k3S8an76c2gnWAIAAABCZXFMaCldcU0oRz/y/CgWvfL1R0ATtSRRzZpnR0AXOkYLsPCqZXV9cU4oaB1dcU99cVAoaCBoIWgiSwF1YWgjXXFRKEc/5RE//nK3LUc/7HlP5/TGZkc/tS07IZQkZWVoGH1xUmgmRz94k3S8an76c2gnWAIAAABCZXFTaCldcVQoR0ATu3ZzQPqqR0Acp+FXlJ8eRz/yr9lMlCJwZXV9cVUoaB1dcVZ9cVcoaCBoIWgiSwF1YWgjXXFYKEc/6u7AAY1I00c/2PKbniukn0c/4qWnZDKEjWVoGH1xWWgmRz94k3S8an76c2gnWAIAAABCZXFaaCldcVsoR0AZOc7Vc38aR0AJR2xnSqMIR0AgMsPdEIKpZXV9cVwoaB1dcV19cV4oaCBoIWgiSwF1YWgjXXFfKEc/1d170VypeUc/vDWAwFnM0Ec/7VpYm817c2VoGH1xYGgmRz94k3S8an76c2gnWAIAAABCZXFhaCldcWIoR0AEesDiEfuyRz/th9pPY9PeR0Apeeu6EdBlZXV9cWMoaB1dcWR9cWUoaCBoIWgiSwF1YWgjXXFmKEc/5THo20s/xEc/20Nw40IEMUc/0Sxp9hLsQWVoGH1xZ2gmRz94k3S8an76c2gnWAIAAABCZXFoaCldcWkoR0AT2g11aD6mR0ALgnOxqrUbR0AN4SQFrtZ1ZXV9cWooaB1dcWt9cWwoaCBoIWgiSwF1YWgjXXFtKEc/xMejbSz/Ekc/svIrrABOhEc/zacsE9onfmVoGH1xbmgmRz94k3S8an76c2gnWAIAAABCZXFvaCldcXAoRz/zdoQfWwLsRz/jWZLe6CR+R0AJvqm+rGwcZXV9cXEoaB1dcXJ9cXMoaCBoIWgiSwF1YWgjXXF0KEc/1ZwyeydopUc/4l5Hjl7950c/52nLBPaJ4GVoGH1xdWgmRz94k3S8an76c2gnWAIAAABCZXF2aCldcXcoR0AEPZq5J4EOR0ASl6LIq78NR0AkV53iOJ8XZXV9cXgoaB1dcXl9cXooaCBYAgAAAEZlcXtoIksBdWFoI11xfChHP93iiEAq6GFHP9ApXC9V2PtHP7gNMWvdyZ9laBh9cX1oJkdAEWdsi0OVgXNoJ1gCAAAARmVxfmgpXXF/KEdAC/2xn9bgnUdAAEl3zcr+pkc/9PWPIr1mm2V1fXGAKGgdXXGBfXGCKGggaHtoIksBdWFoI11xgyhHP6Drvf6ovPhHP+gUsDCJ4JRHP+MBpi17uTRlaBh9cYRoJkdAEWdsi0OVgXNoJ1gCAAAARmVxhWgpXXGGKEc/z7JztMGzsUdAGFEsU7Q50EdAIIalVuUw42V1fXGHKGgdXXGIfXGJKGggaHtoIksBdWFoI11xiihHP+EOvfjJf+ZHP+frUehVE4NHP+z+WdKERsxlaBh9cYtoJkdAEWdsi0OVgXNoJ1gCAAAARmVxjGgpXXGNKEdAD/QEBCEdvkdAGDQgupuaSEdAKTE0/0yn4GV1fXGOKGgdXXGPfXGQKGggaHtoIksBdWFoI11xkShHP+7xRCAVdDBHP8+tPz3YfbBHP9n8s6UIjZhlaBh9cZJoJkdAEWdsi0OVgXNoJ1gCAAAARmVxk2gpXXGUKEdAHPtFPXzuOkdAAA9gm5m/lUdAFpKDGX5HoWV1fXGVKGgdXXGWfXGXKGggaHtoIksBdWFoI11xmChHP+GMPBNWnvNHP9BWdNbBmDtHP9u2+Dm4B5llaBh9cZloJkdAEWJN0vGp/HNoJ1gCAAAARmVxmmgpXXGbKEdAEG+MLdzMI0dAAJIkgyfu2kdAGBJ4n2oz1WV1fXGcKGgdXXGdfXGeKGggaHtoIksBdWFoI11xnyhHP6jD4sNZMJ5HP89TDe8A/y5HP7EkHxkf4Z1laBh9caBoJkdAEWJN0vGp/HNoJ1gCAAAARmVxoWgpXXGiKEc/1zIbckUY00c//41nzHmewUc/7etyFhtromV1fXGjKGgdXXGkfXGlKGggaHtoIksBdWFoI11xpihHP9znh9lSwhpHP+fUxZSfM+JHP+Ikg+Mj/DRlaBh9cadoJkdAEWJN0vGp/HNoJ1gCAAAARmVxqGgpXXGpKEdACxKZWoxfaUdAGA/KX+0iLkdAH41VJ951k2V1fXGqKGgdXXGrfXGsKGggaHtoIksBdWFoI11xrShHP+5zwdPKbPZHP+grPIQ/wDRHP+3bfBzcA8xlaBh9ca5oJkdAEWJN0vGp/HNoJ1gCAAAARmVxr2gpXXGwKEdAHIW3I/6qS0dAGHWCrmKx6kdAKfEvwkKd+GV1fXGxKGgdXXGyfXGzKGggWAIAAABTaXG0aCJLAXVhaCNdcbUoRz/MhgG3Oj5qRz/tmOGNzwsWRz/ohczo0WU4ZWgYfXG2aCZHP4Jul41P3ztzaCdYAgAAAFNpcbdoKV1xuChHP/q3QWc4q1hHQB3krzQDLK9HQCVR/LBLUy1ldX1xuShoHV1xun1xuyhoIGi0aCJLAXVhaCNdcbwoRz/nIYBtzo+bRz/iZx5yMPTqRz/nejMXLprIZWgYfXG9aCZHP4Jul41P3ztzaCdYAgAAAFNpcb5oKV1xvyhHQBWqPMdfqMNHQBKgm74+eblHQCRl3aUrK+BldX1xwChoHV1xwX1xwihoIGi0aCJLAXVhaCNdccMoRz/o3n+SMXBlRz+zOOLKkAaeRz/N6MxcumsgZWgYfXHEaCZHP4Jul41P3ztzaCdYAgAAAFNpccVoKV1xxihHQBdLCIFU0QFHP+OhWot9+d5HQAn3qMp2n0VldX1xxyhoHV1xyH1xyShoIGi0aCJLAXVhaCNdccooRz/RvQNWIMj4Rz/bMcMbnhYrRz/RC5nRospwZWgYfXHLaCZHP4Jul41P3ztzaCdYAgAAAFNpccxoKV1xzShHQACdPBU4rNdHQAtwgcaFP8NHQA2oJPnko0xldX1xzihoHV1xz31x0ChoIGi0aCJLAXVhaCNdcdEoRz/nWlkiBTh5Rz+81wuVCZH6Rz/td8z153hKZWgYfXHSaCZHP4Jul41P3ztzaCdYAgAAAFNpcdNoKV1x1ChHQBXfezth4xBHP+4rgvoN2/BHQCmTggfdwWNldX1x1ShoHV1x1n1x1yhoIGi0aCJLAXVhaCNdcdgoRz/NaWSIFOHkRz/YykFMe4OvRz/iiDMKGIe2ZWgYfXHZaCZHP4Jul41P3ztzaCdYAgAAAFNpcdpoKV1x2yhHP/uMOzdBlJJHQAkeiqzY18RHQCAZLZC7RRZldX1x3ChoHV1x3X1x3ihoIGi0aCJLAXVhaCNdcd8oRz/RS0279Y8ORz/sZR6NXs3BRz+0QZhQxD2yZWgYfXHgaCZHP4Jul41P3ztzaCdYAgAAAFNpceFoKV1x4ihHQAAyuz+CMY9HQByTbEI/Xh1HP/HjJt40moNldX1x4yhoHV1x5H1x5ShoIGi0aCJLAXVhaCNdceYoRz/opaTFG9NwRz/jmuFyoTI/Rz/a75nrzvCTZWgYfXHnaCZHP4Jul41P3ztzaCdYAgAAAFNpcehoKV1x6ShHQBcVyBZ5k15HQBPJmWci22lHQBdtcqdI0qVldX1x6ihoHV1x631x7ChoIGi0aCJLAXVhaCNdce0oRz/Nr17oQsn/Rz/b9S1+k1jjRz/s6HwVT0eRZWgYfXHuaCZHP4Jul41P3ztzaCdYAgAAAFNpce9oKV1x8ChHP/vNxk0N0epHQAxoY+GlnjRHQCkaw3G/SSVldX1x8ShoHV1x8n1x8yhoIGi0aCJLAXVhaCNdcfQoRz/na9nS76aXRz+wKzk+uvu/Rz/jF4PqsLhvZWgYfXH1aCZHP4Jul41P3ztzaCdYAgAAAFNpcfZoKV1x9yhHQBXv3/et9b1HP+ED/GX35zFHQCCR7CVjCelldX1x+ChoHV1x+X1x+ihoIGi0aCJLAXVhaCNdcfsoRz/olChF702ARz/iBWlAtlOPRz+4vB9VhcN5ZWgYfXH8aCZHP4Jul41P3ztzaCdYAgAAAFNpcf1oKV1x/ihHQBcFZ0ffh11HQBIkqrCuSoFHP/WpG48oXHRldX1x/yhoHV1yAAEAAH1yAQEAAChoIGi0aCJLAXVhaCNdcgIBAAAoRz/RKExaILLTRz/t+pa/SaxxRz/Z0Pgqno8iZWgYfXIDAQAAaCZHP4Jul41P3ztzaCdYAgAAAFNpcgQBAABoKV1yBQEAAChHQAAR8cbqDDhHQB44Wviz7wRHQBZ79XsL4illdX1yBgEAAChoHV1yBwEAAH1yCAEAAChoIFgBAAAAT3IJAQAAaCJLAXVhaCNdcgoBAAAoRz/ApWNRXhaMRz/n1ZWY2P9gRz+jSwVh6an9ZWgYfXILAQAAaCZHP7jU/fO2RaJzaCdqCQEAAGgpXXIMAQAAKEc/7y6pI6CqkUdAF/tLK+LMvUc/4UL9isejTmV1fXINAQAAKGgdXXIOAQAAfXIPAQAAKGggagkBAABoIksBdWFoI11yEAEAAChHP6AGGJ3bnaBHP+yt9UucCrhHP+pkdRTU+UFlaBh9chEBAABoJkc/u+dsi0OVgXNoJ2oJAQAAaCldchIBAAAoRz/OBERJb6bvR0Ac+riW6waVR0Am8Qde1Ea1ZXV9chMBAAAoaB1dchQBAAB9chUBAAAoaCBqCQEAAGgiSwF1YWgjXXIWAQAAKEc/4QBhid252kc/41IKtGP1SEc/5ZuK6ysGv2VoGH1yFwEAAGgmRz+752yLQ5WBc2gnagkBAABoKV1yGAEAAChHQA/ZHR+59kdHQBOKkltWn9JHQCLG0vaiOFhldX1yGQEAAChoHV1yGgEAAH1yGwEAAChoIGoJAQAAaCJLAXVhaCNdchwBAAAoRz/u/552IkYmRz+6kFWjH6o/Rz/GbiusrBr8ZWgYfXIdAQAAaCZHP7vnbItDlYFzaCdqCQEAAGgpXXIeAQAAKEdAHQi2uNd+oUc/6vEgVLCYJUdAA3t+E0A3+mV1fXIfAQAAKGgdXXIgAQAAfXIhAQAAKGggagkBAABoIksBdWFoI11yIgEAAChHP93/OLqGpB9HP9lb5mV6LUNHP9TI6imp8oJlaBh9ciMBAABoJkc/u+dsi0OVgXNoJ2oJAQAAaCldciQBAAAoR0AMGJCo2fq+R0AJnJBUOJgxR0ASEifYjYVMZXV9ciUBAAAoaB1dciYBAAB9cicBAAAoaCBqCQEAAGgiSwF1YWgjXXIoAQAAKEc/4Q+NnGBIakc/xm/nQ5uLNkc/7tPCFDcZnWVoGH1yKQEAAGgmRz+6n752yLQ5c2gnagkBAABoKV1yKgEAAChHQA/1iPoIRppHP/ctJwJPGoxHQCrCJyJYyYhldX1yKwEAAChoHV1yLAEAAH1yLQEAAChoIGoJAQAAaCJLAXVhaCNdci4BAAAoRz+g+NnGBIaiRz/UyAxeMjplRz/hLEAEp9p6ZWgYfXIvAQAAaCZHP7qfvnbItDlzaCdqCQEAAGgpXXIwAQAAKEc/z8sB7lSsJEdABRLTt1+oS0dAHdUUjstWxWV1fXIxAQAAKGgdXXIyAQAAfXIzAQAAKGggagkBAABoIksBdWFoI11yNAEAAChHP93g5Mc/byxHP+pkBi8ZHTJHP6LD3ryOZjVlaBh9cjUBAABoJkc/up++dsi0OXNoJ2oJAQAAaCldcjYBAAAoR0AL/Ci8PbEWR0AajZLg7VL3Rz/g2/wUuLK6ZXV9cjcBAAAoaB1dcjgBAAB9cjkBAAAoaCBqCQEAAGgiSwF1YWgjXXI6AQAAKEc/7vBwSsDDf0c/5Zv50Obizkc/3ad/9rBLDGVoGH1yOwEAAGgmRz+6n752yLQ5c2gnagkBAABoKV1yPAEAAChHQBz6ftTXUyFHQBXPcsXRRXZHQBnKuTh9UqJldX1yPQEAAChoHV1yPgEAAH1yPwEAAChoIGoJAQAAaCJLAXVhaCNdckABAAAoRz+h26iyvCpoRz/g94vH9MvERz/sk1jixTGjZWgYfXJBAQAAaCZHP7lYEGJN0vJzaCdqCQEAAGgpXXJCAQAAKEc/0LnwQmE/o0dAETVFZqD3dkdAKNHtROIaJWV1fXJDAQAAKGgdXXJEAQAAfXJFAQAAKGggagkBAABoIksBdWFoI11yRgEAAChHP+EduosrwqdHP+8IdDgLNDxHP+Nspx06zl1laBh9ckcBAABoJkc/uVgQYk3S8nNoJ2oJAQAAaCldckgBAAAoR0AQCAtxt5HnR0AfUAWLoK7xR0Ag5e0QlGToZXV9ckkBAAAoaB1dckoBAAB9cksBAAAoaCBqCQEAAGgiSwF1YWgjXXJMAQAAKEc/7uJFdNQ9WUc/3hDsodRQpUc/u2U46dZy6WVoGH1yTQEAAGgmRz+5WBBiTdLyc2gnagkBAABoKV1yTgEAAChHQBztOdb8591HQA5HMq3cn6dHP/fvzPvsoiFldX1yTwEAAChoHV1yUAEAAH1yUQEAAChoIGoJAQAAaCJLAXVhaCNdclIBAAAoRz/ARIndOQCoRz+zIkV6MqESRz/WmFQfPAVqZWgYfXJTAQAAaCZHP7peNT987ZFzaCdqCQEAAGgpXXJUAQAAKEc/7nk8te8f9Ec/47EQtWRosUdAE50cLPPvNmV1fXJVAQAAKGgdXXJWAQAAfXJXAQAAKGggagkBAABoIksBdWFoI11yWAEAAChHP+QRIF5vTBNHP9s3ctMxP+lHP8LPV8GH9SxlaBh9clkBAABoJkc/ul41P3ztkXNoJ2oJAQAAaCldcloBAAAoR0ASy5INdl6VR0ALbJysRFrOR0AAZZVwTjHRZXV9clsBAAAoaB1dclwBAAB9cl0BAAAoaCBqCQEAAGgiSwF1YWgjXXJeAQAAKEc/6+7foZCz7Uc/7Zu3ULmr3kc/5LPV8GH9S2VoGH1yXwEAAGgmRz+6XjU/fO2Rc2gnagkBAABoKV1yYAEAAChHQBopszs+Gy9HQB3iuorUjIRHQCIBWM0qXRlldX1yYQEAAChoHV1yYgEAAH1yYwEAAChoIGoJAQAAaCJLAXVhaCNdcmQBAAAoRz/X3b9DIWfaRz/iZEivRlQiRz/rTCoPngK1ZWgYfXJlAQAAaCZHP7peNT987ZFzaCdqCQEAAGgpXXJmAQAAKEdABlqNm1k6h0dAEqKQZ20Z5EdAJ7aBiEwh9GV1fXJnAQAAKGgdXXJoAQAAfXJpAQAAKGggagkBAABoIksBdWFoI11yagEAAChHP+QpWu02ebpHP+gqamcnAKBHP92Wn1PCysBlaBh9cmsBAABoJkc/uNT987ZFonNoJ2oJAQAAaCldcmwBAAAoR0AS4kOI3paUR0AYYbp9f2zIR0AZvdytfQTcZXV9cm0BAAAoaB1dcm4BAAB9cm8BAAAoaCBqCQEAAGgiSwF1YWgjXXJwAQAAKEc/3cSPG2Zi4Ec/nvF4/pl4jUc/2SaxxYpjRmVoGH1ycQEAAGgmRz+5WBBiTdLyc2gnagkBAABoKV1ycgEAAChHQAvhnsCI2o9HP9CNcV4GqptHQBXT86Yf35ZldX1ycwEAAChoHV1ydAEAAH1ydQEAAChoIGoJAQAAaCJLAXVhaCNdcnYBAAAoRz/XrU5XUPS6Rz/PVlZjY/2ARz/hNLBWHpqgZWgYfXJ3AQAAaCZHP7jU/fO2RaJzaCdqCQEAAGgpXXJ4AQAAKEdABi0ukjrRNEc//9yIkAazSkdAHeHxGcuki2V1fXJ5AQAAKGgdXXJ6AQAAfXJ7AQAAKGggagkBAABoIksBdWFoI11yfAEAAChHP+vWpyuoel1HP9BU0JyQGRJHP+7LT6nhZWBlaBh9cn0BAABoJkc/uNT987ZFonNoJ2oJAQAAaCldcn4BAAAoR0AaEwO2ruaGR0AAux6zID5aR0Aqu7cKPIDJZXV9cn8BAAAoaB1dcoABAAB9coEBAAAoaCBqCQEAAGgiSwF1YWgjXXKCAQAAKEc/6IN+VJm1SEc/tIj/w28rBkc/3m4j34My0GVoGH1ygwEAAGgmRz+9LxqfvnbJc2gnagkBAABoKV1yhAEAAChHQBb1y68uY8pHP+VBXKDvymxHQBppzmzpudVldX1yhQEAAChoHV1yhgEAAH1yhwEAAChoIGoJAQAAaCJLAXVhaCNdcogBAAAoRz/kFKJJFZ2hRz+yAF92XSl8Rz/CjBiSHSN8ZWgYfXKJAQAAaCZHP7lYEGJN0vJzaCdqCQEAAGgpXXKKAQAAKEdAEs7bELyWS0c/4kpjtz3RqEdAABtf9N//ZGV1fXKLAQAAKGgdXXKMAQAAfXKNAQAAKGggagkBAABoIksBdWFoI11yjgEAAChHP+vrXbbqYl9HP+JACdXssRlHP+SjBiSHSN9laBh9co8BAABoJkc/uVgQYk3S8nNoJ2oJAQAAaCldcpABAAAoR0AaJmo39+N5R0ASdbirmhlSR0Ah7stuTtB9ZXV9cpEBAAAoaB1dcpIBAAB9cpMBAAAoaCBqCQEAAGgiSwF1YWgjXXKUAQAAKEc/19a3PBbckEc/7b/0ETRa0Uc/61z523i3IWVoGH1ylQEAAGgmRz+5WBBiTdLyc2gnagkBAABoKV1ylgEAAChHQAZT96caxG1HQB4PkCqZX2ZHQCfJDuZsVNtldX1ylwEAAChoHV1ymAEAAH1ymQEAAChoIGoJAQAAaCJLAXVhaCNdcpoBAAAoRz/ndRYnM8uKRz/bRfL+ZMpaRz/p3zmWpJytZWgYfXKbAQAAaCZHP5Jul41P3ztzaCdqCQEAAGgpXXKcAQAAKEdAFfiGdi8/HUdAC7B7APXo60dAJngqMoEtomV1fXKdAQAAKGgdXXKeAQAAfXKfAQAAKGggagkBAABoIksBdWFoI11yoAEAAChHP83UWJzPLiZHP7LoIz91NeJHP+YgxmlbY1NlaBh9cqEBAABoJkc/km6XjU/fO3NoJ2oJAQAAaCldcqIBAAAoRz/78GgidwTBRz/j45/otrxSR0AjNIVkoSVsZXV9cqMBAAAoaB1dcqQBAAB9cqUBAAAoaCBqCQEAAGgiSwF1YWgjXXKmAQAAKEc/0RXTsZho7Uc/4l0GgM2a00c/yIMZpW2NTGVoGH1ypwEAAGgmRz+SbpeNT987c2gnagkBAABoKV1yqAEAAChHQAAApMnneXhHQBKAnyEGJSVHQAVe8sSMnEVldX1yqQEAAChoHV1yqgEAAH1yqwEAAChoIGoJAQAAaCJLAXVhaCNdcqwBAAAoRz/oiue/7UBgRz/tovl/MmUtRz/TvnMtSTlaZWgYfXKtAQAAaCZHP5Jul41P3ztzaCdqCQEAAGgpXXKuAQAAKEdAFvy826w3UkdAHdxmiFwUYEdAETbC/I+rJGV1fXKvAQAAKGgdXXKwAQAAfXKxAQAAKGggagkBAABoIksBdWFoI11ysgEAAChHP+d2qzJzRMZHP7K/EEunnj9HP+nk32LRhnBlaBh9crMBAABoJkc/k3S8an7523NoJ2oJAQAAaCldcrQBAAAoR0AV+gHWMNKTRz/j4DjLQcdJR0AmeR/p9bdMZXV9crUBAAAoaB1dcrYBAAB9crcBAAAoaCBqCQEAAGgiSwF1YWgjXXK4AQAAKEc/zdqsyc0TGUc/21BAHtQAnkc/5hsgnS55kGVoGH1yuQEAAGgmRz+TdLxqfvnbc2gnagkBAABoKV1yugEAAChHP/v2VaJ9UpxHQAuxXTiL3O1HQCMzj66jTy1ldX1yuwEAAChoHV1yvAEAAH1yvQEAAChoIGoJAQAAaCJLAXVhaCNdcr4BAAAoRz/REqVpW45GRz/tqB32iww4Rz/IbIJ0ueZAZWgYfXK/AQAAaCZHP5N0vGp++dtzaCdqCQEAAGgpXXLAAQAAKEc///tUOGSXvUdAHdzViBjgsUdABVsb5rp1oGV1fXLBAQAAKGgdXXLCAQAAfXLDAQAAKGggagkBAABoIksBdWFoI11yxAEAAChHP+iJVM2MuzpHP+JX4gl088hHP9PJvsWjDOBlaBh9csUBAABoJkc/k3S8an7523NoJ2oJAQAAaCldcsYBAAAoR0AW+0Nyg6cxR0ASgDAhSVjUR0AROK5reL52ZXV9cscBAAAoaB1dcsgBAAB9cskBAAAoaCBqCQEAAGgiSwF1YWgjXXLKAQAAKEc/zo00MIk0yEc/0BdMTN+so0c/67oz/glayGVoGH1yywEAAGgmRz+XjU/fO2Rac2gnagkBAABoKV1yzAEAAChHP/ydjKrMinJHQAB1hO0YzZJHQCgSYiPG64hldX1yzQEAAChoHV1yzgEAAH1yzwEAAChoIGoJAQAAaCJLAXVhaCNdctABAAAoRz/no0rzQ1kbRz/P0WdmQKa5Rz/kRc4a1ZlPZWgYfXLRAQAAaCZHP5eNT987ZFpzaCdqCQEAAGgpXXLSAQAAKEdAFiPNoWudMkdAADPiS25n/UdAIZpPRfeJY2V1fXLTAQAAKGgdXXLUAQAAfXLVAQAAKGggagkBAABoIksBdWFoI11y1gEAAChHP+hctQy8puVHP+f0V8CxNZhHP8EXMAfalOFlaBh9ctcBAABoJkc/l41P3ztkWnNoJ2oJAQAAaCldctgBAAAoR0AW0XenSNySR0AYHhgO5oUhRz/97CX5EHu4ZXV9ctkBAAAoaB1dctoBAAB9ctsBAAAoaCBqCQEAAGgiSwF1YWgjXXLcAQAAKEc/0LlqGXlNykc/6AuoP07KaEc/13RjylTNYmVoGH1y3QEAAGgmRz+XjU/fO2Rac2gnagkBAABoKV1y3gEAAChHP/9ULObdepZHQBg+7ZfYE0xHQBRrLzzQSgtldX1y3wEAAChoHV1y4AEAAH1y4QEAAChoIGoJAQAAaCJLAXVhaCNdcuIBAAAoRz/nePPHN4yJRz/n9mFgmBs/Rz/pskzZTIz2ZWgYfXLjAQAAaCZHP7wo9cKPXClzaCdqCQEAAGgpXXLkAQAAKEdAFfwlXv00LkdAGDsayq0HDEdAJlTItu6jsWV1fXLlAQAAKGgdXXLmAQAAfXLnAQAAKGggagkBAABoIksBdWFoI11y6AEAAChHP83jxrliYcpHP+gJnp9n5MFHP+ZNsyazcwplaBh9cukBAABoJkc/vCj1wo9cKXNoJ2oJAQAAaCldcuoBAAAoRz/7/tvqSsuxR0AYSjAnlJ9bR0AjYxGeh9tcZXV9cusBAAAoaB1dcuwBAAB9cu0BAAAoaCBqCQEAAGgiSwF1YWgjXXLuAQAAKEc/0Q4YcZDm7kc/0BM5DRHhVEc/yTbMms3MJmVoGH1y7wEAAGgmRz+8KPXCj1wpc2gnagkBAABoKV1y8AEAAChHP//yzfCXHqlHQAA7f3WLybtHQAXseK/pXTRldX1y8QEAAChoHV1y8gEAAH1y8wEAAChoIGoJAQAAaCJLAXVhaCNdcvQBAAAoRz/ohw5Rp2eORz/P2Y3l3D1YRz/TZJmymRntZWgYfXL1AQAAaCZHP7wo9cKPXClzaCdqCQEAAGgpXXL2AQAAKEdAFvkh4JBI7EdAAB1dK/VP30dAENmqi6+mGWV1fXL3AQAAKGgdXXL4AQAAfXL5AQAAKGggagkBAABoIksBdWFoI11y+gEAAChHP+i4BaWGYdlHP+3Hty5/8CVHP+9NthDzmD5laBh9cvsBAABoJkc/uyLQ5WBBiXNoJ2oJAQAAaCldcvwBAAAoR0AXJv7NMSQjR0AeHFSEmO+JR0ArNGoUxL3UZXV9cv0BAAAoaB1dcv4BAAB9cv8BAAAoaCBqCQEAAGgiSwF1YWgjXXIAAgAAKEc/0XAHGU7bhUc/4jhI0YAP20c/4LJJ7wxnwmVoGH1yAQIAAGgmRz+7ItDlYEGJc2gnagkBAABoKV1yAgIAAChHQABVINGNRcNHQBJo9m2ott5HQB0G4IFjgnJldX1yAwIAAChoHV1yBAIAAH1yBQIAAChoIGoJAQAAaCJLAXVhaCNdcgYCAAAoRz/NH+lp5niaRz+xwkaMAH7WRz+WST3hjPhMZWgYfXIHAgAAaCZHP7si0OVgQYlzaCdqCQEAAGgpXXIIAgAAKEc/+0doN8de0kc/4eRA50FQhkc/02+Z2/Lb8mV1fXIJAgAAKGgdXXIKAgAAfXILAgAAKGggagkBAABoIksBdWFoI11yDAIAAChHP+dH/HNYkj1HP9uPaitB+B1HP96bbCHnMHtlaBh9cg0CAABoJkc/uyLQ5WBBiXNoJ2oJAQAAaCldcg4CAAAoR0AVzkhyXFj2R0AL38gvlGoZR0AamO1EbnOJZXV9cg8CAAAoaB1dchACAAB9chECAAAoaCBqCQEAAGgiSwF1YWgjXXISAgAAKEc/53yDxEU+zkc/4pEd347xSkc/7zcR78GZaGVoGH1yEwIAAGgmRz+9LxqfvnbJc2gnagkBAABoKV1yFAIAAChHQBX/e5BfGU9HQBLUl8jQWGpHQCsc2qeLrY9ldX1yFQIAAChoHV1yFgIAAH1yFwIAAChoIGoJAQAAaCJLAXVhaCNdchgCAAAoRz/N8g8RFPs6Rz/tbuAHkhqfRz/gyO4QPmaYZWgYfXIZAgAAaCZHP70vGp++dslzaCdqCQEAAGgpXXIaAgAAKEc//Aw8izZtj0dAHbCxDWMgTUdAHTX/Wl7vkmV1fXIbAgAAKGgdXXIcAgAAfXIdAgAAKGggagkBAABoIksBdWFoI11yHgIAAChHP9EG+Hd1gmNHP9rdxEDiHWxHP5kdwgfM0wJlaBh9ch8CAABoJkc/vS8an752yXNoJ2oJAQAAaCldciACAAAoRz//5XUrD4ohR0ALCImxYYJfRz/WYYeDFOSeZXV9ciECAAAoaB1dciICAAB9ciMCAAAoaCBqCQEAAGgiSwF1YWgjXXIkAgAAKEc/wFKJJFZ2hEc/23/oImi1oUc/1rnztvFuQmVoGH1yJQIAAGgmRz+5WBBiTdLyc2gnagkBAABoKV1yJgIAAChHP+6TdRlYwvtHQAvGQ7OxpTFHQBPCNuk0VQFldWV1WAYAAAB0YXJnZXRyJwIAAEc/98ImgJ1JUnUuUEsHCCCxHD77KgAA+yoAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgA9AG1iLW1wLWdhcC0wMDI0ODEvYnl0ZW9yZGVyRkI5AFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWmxpdHRsZVBLBwiFPeMZBgAAAAYAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABgANABtYi1tcC1nYXAtMDAyNDgxL3ZlcnNpb25GQjAAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMwpQSwcI0Z5nVQIAAAACAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAnACkAbWItbXAtZ2FwLTAwMjQ4MS8uZGF0YS9zZXJpYWxpemF0aW9uX2lkRkIlAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlowNjM2NDU3NzM3OTQ2NDAxMDUxMzAwMDAwMDE1OTMyNjY5OTAxNDE2UEsHCBoXWl8oAAAAKAAAAFBLAQIAAAAACAgAAAAAAAAgsRw++yoAAPsqAAAZAAAAAAAAAAAAAAAAAAAAAABtYi1tcC1nYXAtMDAyNDgxL2RhdGEucGtsUEsBAgAAAAAICAAAAAAAAIU94xkGAAAABgAAABoAAAAAAAAAAAAAAAAASysAAG1iLW1wLWdhcC0wMDI0ODEvYnl0ZW9yZGVyUEsBAgAAAAAICAAAAAAAANGeZ1UCAAAAAgAAABgAAAAAAAAAAAAAAAAA1isAAG1iLW1wLWdhcC0wMDI0ODEvdmVyc2lvblBLAQIAAAAACAgAAAAAAAAaF1pfKAAAACgAAAAnAAAAAAAAAAAAAAAAAFIsAABtYi1tcC1nYXAtMDAyNDgxLy5kYXRhL3NlcmlhbGl6YXRpb25faWRQSwYGLAAAAAAAAAAeAy0AAAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAKgEAAAAAAAD4LAAAAAAAAFBLBgcAAAAAIi4AAAAAAAABAAAAUEsFBgAAAAAEAAQAKgEAAPgsAAAAAA==" | ./matbench_mp_gap/mb-mp-gap-002481 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-030934 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-025976 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-063447 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-007562 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-063768 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-033246 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-040547 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-069495 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-059174 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-048711 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-070106 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-095068 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-084652 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-037578 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA3NDU4Mi9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHgAAAAAAAAABHAAAAAAAAAABHQCUIcPiQn/ZlXXENKEdAJNMRFqi48UcAAAAAAAAAAEeAAAAAAAAAAGVdcQ4oRwAAAAAAAAAAR0AorhWG+tt+RwAAAAAAAAAAZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAJQhw+JCf9lgBAAAAYnESR0Ak0xEWqLjxWAEAAABjcRNHQCiuFYb6235YBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAVoAAAAAAAFgGAAAAdm9sdW1lcRdHQJUc7ro5wF11WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABDc3EhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP7dRDrtZss9HP+Spe3QUpNNHP9AAAAAAAABlaBh9cSVYBgAAAG1hZ21vbXEmRwAAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAAQ3NxKFgDAAAAeHl6cSldcSooR0Aa5GtuerW/R0AIrhWG+tt+Rz/uprB+5a32ZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/2iu8USmTTEc/wqXt0FKTS0c/0AAAAAAAAGVoGH1xL2gmRwAAAAAAAAAAc2gnWAIAAABDc3EwaCldcTEoRz/4RWlfR/M4R0AIrhWG+tt+R0ARM5ros+o3ZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/7RXeKJTJpkc/1q0JF9a2W0c/6AAAAAAAAGVoGH1xNmgmRwAAAAAAAAAAc2gnWAIAAABDc3E3aCldcTgoR0ANg219rXhGR0AigpAlPCSeR0AjHgXwokUXZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/4uoh12s2Wkc/61aEi+tbLUc/6AAAAAAAAGVoGH1xPWgmRwAAAAAAAAAAc2gnWAIAAABDc3E+aCldcT8oR0AhymPqv7qKR0AigpAlPCSeR0AY3UcIbVW1ZXV9cUAoaB1dcUF9cUIoaCBoIWgiSwF1YWgjXXFDKEc/0o7KXbG28kc/4WqUbguhSUc/7pvGajIi6GVoGH1xRGgmR4AAAAAAAAAAc2gnWAIAAABDc3FFaCldcUYoR0AWqvmo4axkR0Anm1ht3YJKR0AIZTQH/agnZXV9cUcoaB1dcUh9cUkoaCBoIWgiSwF1YWgjXXFKKEc/yuJrRJySHEc/pqlG4LoUjkc/4WQ5lc3dGGVoGH1xS2gmR4AAAAAAAAAAc2gnWAIAAABDc3FMaCldcU0oRz/dfokjjzc0R0Aa04+5NY3mR0ABq63pI5fFZXV9cU4oaB1dcU99cVAoaCBoIWgiSwF1YWgjXXFRKEc/5ria0Sckh0c/3SrXI+i9bkc/3TeM1GRF0GVoGH1xUmgmR4AAAAAAAAAAc2gnWAIAAABDc3FTaCldcVQoR0AS+yiEb8V+R0AWiJtUwCkWR0Ad3kftImvZZXV9cVUoaB1dcVZ9cVcoaCBoIWgiSwF1YWgjXXFYKEc/6UdlLtjbeUc/7pVrkfRet0c/pkOZXN3RgmVoGH1xWWgmR4AAAAAAAAAAc2gnWAIAAABDc3FaaCldcVsoR0Aj5xzNjD83Rz/hK9GR1ZNAR0AgnYV+R7oFZXV9cVwoaB1dcV19cV4oaCBoIWgiSwF1YWgjXXFfKEc/5ria0Sckh0c/3SrXI+i9bkc/pkOZXN3RgmVoGH1xYGgmR4AAAAAAAAAAc2gnWAIAAABDc3FhaCldcWIoR0AS+yiEb8V+Rz/hK9GR1ZNAR0Ad3kftImvZZXV9cWMoaB1dcWR9cWUoaCBoIWgiSwF1YWgjXXFmKEc/6UdlLtjbeUc/7pVrkfRet0c/3TeM1GRF0GVoGH1xZ2gmR4AAAAAAAAAAc2gnWAIAAABDc3FoaCldcWkoR0Aj5xzNjD83R0AWiJtUwCkWR0AgnYV+R7oFZXV9cWooaB1dcWt9cWwoaCBoIWgiSwF1YWgjXXFtKEc/0o7KXbG28kc/4WqUbguhSUc/4WQ5lc3dGGVoGH1xbmgmR4AAAAAAAAAAc2gnWAIAAABDc3FvaCldcXAoR0AWqvmo4axkR0Aa04+5NY3mR0AIZTQH/agnZXV9cXEoaB1dcXJ9cXMoaCBoIWgiSwF1YWgjXXF0KEc/yuJrRJySHEc/pqlG4LoUjkc/7pvGajIi6GVoGH1xdWgmR4AAAAAAAAAAc2gnWAIAAABDc3F2aCldcXcoRz/dfokjjzc0R0Anm1ht3YJKR0ABq63pI5fFZXV9cXgoaB1dcXl9cXooaCBYAgAAAFRhcXtoIksBdWFoI11xfChHP+CXd7C7nyhHP+cUtSONzrVHP9AAAAAAAABlaBh9cX1oJkeAAAAAAAAAAHNoJ1gCAAAAVGFxfmgpXXF/KEdAHgpcJ+ZziEdACK4VhvrbfkdAFc+N+dYsHmV1fXGAKGgdXXGBfXGCKGggaHtoIksBdWFoI11xgyhHP+9oiE9EYNhHP8xS1I43OtVHP9AAAAAAAABlaBh9cYRoJkeAAAAAAAAAAHNoJ1gCAAAAVGFxhWgpXXGGKEdAAm6WInt1LkdACK4VhvrbfkdAJKTid+3Z4mV1fXGHKGgdXXGIfXGJKGggaHtoIksBdWFoI11xiihHP97REJ6IwbBHP9HWlbjkYpZHP+gAAAAAAABlaBh9cYtoJkeAAAAAAAAAAHNoJ1gCAAAAVGFxjGgpXXGNKEdABzeMCtX8tUdAIoKQJTwknkdAFEFT90sTzmV1fXGOKGgdXXGPfXGQKGggaHtoIksBdWFoI11xkShHP5Lu9hdz5P9HP+jrStxyMUtHP+gAAAAAAABlaBh9cZJoJkeAAAAAAAAAAHNoJ1gCAAAAVGFxk2gpXXGUKEdAIDdrjgnbpkdAIoKQJTwknkc/yOOgKLGFCWV1fXGVKGgdXXGWfXGXKGggWAIAAABTZXGYaCJLAXVhaCNdcZkoRz/baZPNJuTGRz/gObIS4i/gRz/QAAAAAAAAZWgYfXGaaCZHAAAAAAAAAABzaCdYAgAAAFNlcZtoKV1xnChHQBUeKMg7ZPNHQAiuFYb6235HQBIEhCoIO3pldX1xnShoHV1xnn1xnyhoIGiYaCJLAXVhaCNdcaAoRz+yWbDLZGznRz982QlxF/A3Rz/QAAAAAAAAZWgYfXGhaCZHAAAAAAAAAABzaCdYAgAAAFNlcaJoKV1xoyhHP7LF7GSrALhHQAiuFYb6235HP+gfZnRDI+JldX1xpChoHV1xpX1xpihoIGiYaCJLAXVhaCNdcacoRz/iSzYZbI2dRz/fjJvaO6A/Rz/oAAAAAAAAZWgYfXGoaCZHAAAAAAAAAABzaCdYAgAAAFNlcaloKV1xqihHQBSH+WUWDO5HQCKCkCU8JJ5HQBgMXccZBHJldX1xqyhoHV1xrH1xrShoIGiYaCJLAXVhaCNdca4oRz/ttMnmk3JjRz/vxk3tHdAgRz/oAAAAAAAAZWgYfXGvaCZHAAAAAAAAAABzaCdYAgAAAFNlcbBoKV1xsShHQCSthT3fYvBHQCKCkCU8JJ5HQCOGepFMbbhldX1xsihoHV1xs31xtChoIGiYaCJLAXVhaCNdcbUoRz/n6hkN7f9MRz/mlLMaygXIRz/QAAAAAAAAZWgYfXG2aCZHAAAAAAAAAABzaCdYAgAAAFNlcbdoKV1xuChHQB1jwPlmsHxHQAiuFYb6235HQB9v3skDZeVldX1xuShoHV1xun1xuyhoIGiYaCJLAXVhaCNdcbwoRz/oFebyEgC0Rz/KUsxrKBcgRz/QAAAAAAAAZWgYfXG9aCZHAAAAAAAAAABzaCdYAgAAAFNlcb5oKV1xvyhHQAEhX8V77xdHQAiuFYb6235HQB+pdCCuef1ldX1xwChoHV1xwX1xwihoIGiYaCJLAXVhaCNdccMoRz/QK83kJAFnRz/S1pnKa/RwRz/oAAAAAAAAZWgYfXHEaCZHAAAAAAAAAABzaCdYAgAAAFNlccVoKV1xxihHQAiEwmfVgstHQCKCkCU8JJ5HQAVCBlA7tA1ldX1xxyhoHV1xyH1xyShoIGiYaCJLAXVhaCNdccooRz/PqGQ3t/0yRz/pa0zlNfo4Rz/oAAAAAAAAZWgYfXHLaCZHAAAAAAAAAABzaCdYAgAAAFNlccxoKV1xzShHQCCKuSVJvStHQCKCkCU8JJ5HQATO26Dli99ldX1xzihoHV1xz31x0ChoIGiYaCJLAXVhaCNdcdEoRz/c685ExwRhRz/qoAvesHoGRz+2Z+GQqTAQZWgYfXHSaCZHAAAAAAAAAABzaCdYAgAAAFNlcdNoKV1x1ChHQCFTpPFTYH5HP/FHzRmwKMBHQBMCYGqr8aFldX1x1ShoHV1x1n1x1yhoIGiYaCJLAXVhaCNdcdgoRz+ooY3Zx9z5Rz/VQBe9YPQMRz/aZgeb1bP8ZWgYfXHZaCZHAAAAAAAAAABzaCdYAgAAAFNlcdpoKV1x2yhHQAuocZf8EBdHQBRcIkCO0U5HP+AwhG8lcqxldX1x3ChoHV1x3X1x3ihoIGiYaCJLAXVhaCNdcd8oRz/hihjdnH3QRz/Ff9CFPhfpRz/izPwyFSYCZWgYfXHgaCZHAAAAAAAAAABzaCdYAgAAAFNlceFoKV1x4ihHP/v7YSqqw5dHQB0ACM1m5a5HQBcOgYZ1TkxldX1x4yhoHV1x5H1x5ShoIGiYaCJLAXVhaCNdceYoRz/udeciY4IwRz/lX/QhT4X6Rz/tMwPN6tn+ZWgYfXHnaCZHAAAAAAAAAABzaCdYAgAAAFNlcehoKV1x6ShHQBvR6WFTadZHQCaFG+PE1mZHQCQFaLGeSMtldX1x6ihoHV1x631x7ChoIGiYaCJLAXVhaCNdce0oRz/hihjdnH3QRz/Ff9CFPhfpRz/tMwPN6tn+ZWgYfXHuaCZHAAAAAAAAAABzaCdYAgAAAFNlce9oKV1x8ChHP/v7YSqqw5dHQCaFG+PE1mZHQBcOgYZ1TkxldX1x8ShoHV1x8n1x8yhoIGiYaCJLAXVhaCNdcfQoRz/udeciY4IwRz/lX/QhT4X6Rz/izPwyFSYCZWgYfXH1aCZHAAAAAAAAAABzaCdYAgAAAFNlcfZoKV1x9yhHQBvR6WFTadZHQB0ACM1m5a5HQCQFaLGeSMtldX1x+ChoHV1x+X1x+ihoIGiYaCJLAXVhaCNdcfsoRz/c685ExwRhRz/qoAvesHoGRz/aZgeb1bP8ZWgYfXH8aCZHAAAAAAAAAABzaCdYAgAAAFNlcf1oKV1x/ihHQCFTpPFTYH5HQBRcIkCO0U5HQBMCYGqr8aFldX1x/yhoHV1yAAEAAH1yAQEAAChoIGiYaCJLAXVhaCNdcgIBAAAoRz+ooY3Zx9z5Rz/VQBe9YPQMRz+2Z+GQqTAQZWgYfXIDAQAAaCZHAAAAAAAAAABzaCdYAgAAAFNlcgQBAABoKV1yBQEAAChHQAuocZf8EBdHP/FHzRmwKMBHP+AwhG8lcqxldWV1WAYAAAB0YXJnZXRyBgEAAEdAA2/SH/Lkj3UuUEsHCAMhoCNFEQAARREAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgAzAG1iLW1wLWdhcC0wNzQ1ODIvYnl0ZW9yZGVyRkIvAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpabGl0dGxlUEsHCIU94xkGAAAABgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGAA0AG1iLW1wLWdhcC0wNzQ1ODIvdmVyc2lvbkZCMABaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlozClBLBwjRnmdVAgAAAAIAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAACcAKQBtYi1tcC1nYXAtMDc0NTgyLy5kYXRhL3NlcmlhbGl6YXRpb25faWRGQiUAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjA2MzY0NTc3Mzc5NDY0MDEwNTEzMDAwMDAwMTM0ODk4OTAxNDUyOTVQSwcIjS1H/SgAAAAoAAAAUEsBAgAAAAAICAAAAAAAAAMhoCNFEQAARREAABkAAAAAAAAAAAAAAAAAAAAAAG1iLW1wLWdhcC0wNzQ1ODIvZGF0YS5wa2xQSwECAAAAAAgIAAAAAAAAhT3jGQYAAAAGAAAAGgAAAAAAAAAAAAAAAACVEQAAbWItbXAtZ2FwLTA3NDU4Mi9ieXRlb3JkZXJQSwECAAAAAAgIAAAAAAAA0Z5nVQIAAAACAAAAGAAAAAAAAAAAAAAAAAAWEgAAbWItbXAtZ2FwLTA3NDU4Mi92ZXJzaW9uUEsBAgAAAAAICAAAAAAAAI0tR/0oAAAAKAAAACcAAAAAAAAAAAAAAAAAkhIAAG1iLW1wLWdhcC0wNzQ1ODIvLmRhdGEvc2VyaWFsaXphdGlvbl9pZFBLBgYsAAAAAAAAAB4DLQAAAAAAAAAAAAQAAAAAAAAABAAAAAAAAAAqAQAAAAAAADgTAAAAAAAAUEsGBwAAAABiFAAAAAAAAAEAAABQSwUGAAAAAAQABAAqAQAAOBMAAAAA" | ./matbench_mp_gap/mb-mp-gap-074582 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-053780 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-045841 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-005534 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTAyNTAyNi9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQBsHeVF6m/1HAAAAAAAAAABHAAAAAAAAAABlXXENKEcAAAAAAAAAAEdAGnd5F8Pr/kcAAAAAAAAAAGVdcQ4oRwAAAAAAAAAARwAAAAAAAAAAR0ASKk3fsdbSZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAGwd5UXqb/VgBAAAAYnESR0Aad3kXw+v+WAEAAABjcRNHQBIqTd+x1tJYBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAVoAAAAAAAFgGAAAAdm9sdW1lcRdHQGlhd+AFpZ91WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABMaXEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP6qe6GMAVWVHP4Jp/nZoETZHP+fzZDs97qNlaBh9cSVYBgAAAG1hZ21vbXEmR79QYk3S8an8c1gFAAAAbGFiZWxxJ1gCAAAATGlxKFgDAAAAeHl6cSldcSooRz/WfEvDBOJORz+udb0x5/qbR0ALMSQ77gc0ZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/qp7oYwBVZUc/32ywDEy/dkc/5/NkOz3uo2VoGH1xL2gmR79QYk3S8an8c2gnWAIAAABMaXEwaCldcTEoRz/WfEvDBOJOR0AJ/aIi/EwTR0ALMSQ77gc0ZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/0AAAAAAAAEc/6AAAAAAAAEc/yQ1dIEGT9GVoGH1xNmgmRz+AYk3S8an8c2gnWAIAAABMaXE3aCldcTgoRz/7B3lRepv9R0AT2ZrR0vD+Rz/scUXHT1P2ZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/3Kwi85/1U0c/gmn+dmgRNkc/5/NkOz3uo2VoGH1xPWgmR79QYk3S8an8c2gnWAIAAABMaXE+aCldcT8oR0AIN+/ZGf+zRz+udb0x5/qbR0ALMSQ77gc0ZXV9cUAoaB1dcUF9cUIoaCBoIWgiSwF1YWgjXXFDKEc/3Kwi85/1U0c/32ywDEy/dkc/5/NkOz3uo2VoGH1xRGgmR79QYk3S8an8c2gnWAIAAABMaXFFaCldcUYoR0AIN+/ZGf+zR0AJ/aIi/EwTR0ALMSQ77gc0ZXV9cUcoaB1dcUh9cUkoaCBoIWgiSwF1YWgjXXFKKEc/4anuhjAFVkc/77ZYBiZfu0c/0Bk3iYQiumVoGH1xS2gmR79QYk3S8an8c2gnWAIAAABMaXFMaCldcU0oR0AN1wLJ2zhGR0AaOo2dYBwJRz/yRu8G60zgZXV9cU4oaB1dcU99cVAoaCBoIWgiSwF1YWgjXXFRKEc/4anuhjAFVkc/4Emn+dmgRUc/0Bk3iYQiumVoGH1xUmgmR79QYk3S8an8c2gnWAIAAABMaXFTaCldcVQoR0AN1wLJ2zhGR0AK8VAMi4vpRz/yRu8G60zgZXV9cVUoaB1dcVZ9cVcoaCBoIWgiSwF1YWgjXXFYKEc/6AAAAAAAAEc/0AAAAAAAAEc/6byot++bA2VoGH1xWWgmRz+AYk3S8an8c2gnWAIAAABMaXFaaCldcVsoR0AURZr9G/T+Rz/6d3kXw+v+R0ANOEpNj9inZXV9cVwoaB1dcV19cV4oaCBoIWgiSwF1YWgjXXFfKEc/7lYRec/6qkc/77ZYBiZfu0c/0Bk3iYQiumVoGH1xYGgmR79QYk3S8an8c2gnWAIAAABMaXFhaCldcWIoR0AZn7SVSk3YR0AaOo2dYBwJRz/yRu8G60zgZXV9cWMoaB1dcWR9cWUoaCBoIWgiSwF1YWgjXXFmKEc/7lYRec/6qkc/4Emn+dmgRUc/0Bk3iYQiumVoGH1xZ2gmR79QYk3S8an8c2gnWAIAAABMaXFoaCldcWkoR0AZn7SVSk3YR0AK8VAMi4vpRz/yRu8G60zgZXV9cWooaB1dcWt9cWwoaCBYAgAAAE1ucW1oIksBdWFoI11xbihHP9AAAAAAAABHP9AAAAAAAABHP83PfcGhy2xlaBh9cW9oJkdADel41P3ztnNoJ1gCAAAATW5xcGgpXXFxKEc/+wd5UXqb/Uc/+nd5F8Pr/kc/8OwfnaNg4WV1fXFyKGgdXXFzfXF0KGggaG1oIksBdWFoI11xdShHP+gAAAAAAABHP+gAAAAAAABHP+iMII+XjSVlaBh9cXZoJkdADel41P3ztnNoJ1gCAAAATW5xd2gpXXF4KEdAFEWa/Rv0/kdAE9ma0dLw/kdAC96L8JH9M2V1fXF5KGgdXXF6fXF7KGggWAEAAABPcXxoIksBdWFoI11xfShHP1CjhoJloG5HP9AAAAAAAABHP555lhkGjDZlaBh9cX5oJkc/mJN0vGp++nNoJ2h8aCldcX8oRz98G7iwSR9dRz/6d3kXw+v+Rz/BTK4srl7IZXV9cYAoaB1dcYF9cYIoaCBofGgiSwF1YWgjXXGDKEc/0AAAAAAAAEc/79uCyBvjCkc/2zyXYAN11mVoGH1xhGgmRz+SbpeNT987c2gnaHxoKV1xhShHP/sHeVF6m/1HQBpZSx6eJ2xHP/7sLenDpXtldX1xhihoHV1xh31xiChoIGh8aCJLAXVhaCNdcYkoRz/QAAAAAAAARz/gJH035Bz2Rz/bPJdgA3XWZWgYfXGKaCZHP5R64UeuFHtzaCdofGgpXXGLKEc/+wd5UXqb/UdACrPVCg91I0c//uwt6cOle2V1fXGMKGgdXXGNfXGOKGggaHxoIksBdWFoI11xjyhHP9/vXHl9mmBHP9AAAAAAAABHP555lhkGjDZlaBh9cZBoJkc/mJN0vGp++nNoJ2h8aCldcZEoR0AK+Wt1InduRz/6d3kXw+v+Rz/BTK4srl7IZXV9cZIoaB1dcZN9cZQoaCBofGgiSwF1YWgjXXGVKEc/4AhRw0Ey0Ec/6AAAAAAAAEc/7wwzTzfLnmVoGH1xlmgmRz+Yk3S8an76c2gnaHxoKV1xlyhHQAsVhy3SwIxHQBPZmtHS8P5HQBGf6G5MY9xldX1xmChoHV1xmX1xmihoIGh8aCJLAXVhaCNdcZsoRz/oAAAAAAAARz9yPpvyDnrCRz/iYbRP/kUVZWgYfXGcaCZHP5Jul41P3ztzaCdofGgpXXGdKEdAFEWa/Rv0/kc/ni35JcSSDEdABN6EyoHa5mV1fXGeKGgdXXGffXGgKGggaHxoIksBdWFoI11xoShHP+gAAAAAAABHP9+3BZA3xhVHP+JhtE/+RRVlaBh9caJoJkc/lHrhR64Ue3NoJ2h8aCldcaMoR0AURZr9G/T+R0AKOx0leGLaR0AE3oTKgdrmZXV9caQoaB1dcaV9caYoaCBofGgiSwF1YWgjXXGnKEc/7/euPL7NMEc/6AAAAAAAAEc/7wwzTzfLnmVoGH1xqGgmRz+Yk3S8an76c2gnaHxoKV1xqShHQBsAcmNOibVHQBPZmtHS8P5HQBGf6G5MY9xldWV1WAYAAAB0YXJnZXRxqkc/8IbCJoCdSXUuUEsHCO0fXqRXCwAAVwsAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgAhAG1iLW1wLWdhcC0wMjUwMjYvYnl0ZW9yZGVyRkIdAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpabGl0dGxlUEsHCIU94xkGAAAABgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGAA0AG1iLW1wLWdhcC0wMjUwMjYvdmVyc2lvbkZCMABaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlozClBLBwjRnmdVAgAAAAIAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAACcAKQBtYi1tcC1nYXAtMDI1MDI2Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRGQiUAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjA2MzY0NTc3Mzc5NDY0MDEwNTEzMDAwMDAwMjE5OTMzMDQ5MjM4ODNQSwcIrGu7eygAAAAoAAAAUEsBAgAAAAAICAAAAAAAAO0fXqRXCwAAVwsAABkAAAAAAAAAAAAAAAAAAAAAAG1iLW1wLWdhcC0wMjUwMjYvZGF0YS5wa2xQSwECAAAAAAgIAAAAAAAAhT3jGQYAAAAGAAAAGgAAAAAAAAAAAAAAAACnCwAAbWItbXAtZ2FwLTAyNTAyNi9ieXRlb3JkZXJQSwECAAAAAAgIAAAAAAAA0Z5nVQIAAAACAAAAGAAAAAAAAAAAAAAAAAAWDAAAbWItbXAtZ2FwLTAyNTAyNi92ZXJzaW9uUEsBAgAAAAAICAAAAAAAAKxru3soAAAAKAAAACcAAAAAAAAAAAAAAAAAkgwAAG1iLW1wLWdhcC0wMjUwMjYvLmRhdGEvc2VyaWFsaXphdGlvbl9pZFBLBgYsAAAAAAAAAB4DLQAAAAAAAAAAAAQAAAAAAAAABAAAAAAAAAAqAQAAAAAAADgNAAAAAAAAUEsGBwAAAABiDgAAAAAAAAEAAABQSwUGAAAAAAQABAAqAQAAOA0AAAAA" | ./matbench_mp_gap/mb-mp-gap-025026 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-089619 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-072086 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-104115 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-067945 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-084683 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-081519 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA5OTI2OC9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQBqqwrl4hyVHAAAAAAAAAABHAAAAAAAAAABlXXENKEcAAAAAAAAAAEdAG8elUbOm4UcAAAAAAAAAAGVdcQ4oRwAAAAAAAAAARwAAAAAAAAAAR0ApxC40RdfRZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAGqrCuXiHJVgBAAAAYnESR0Abx6VRs6bhWAEAAABjcRNHQCnELjRF19FYBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAVoAAAAAAAFgGAAAAdm9sdW1lcRdHQIKj95BgHnZ1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAEAAABLcSFYBAAAAG9jY3VxIksBdWFYAwAAAGFiY3EjXXEkKEc/4dzYjfYiXEc/0AAAAAAAAEc/0AAAAAAAAGVoGH1xJVgGAAAAbWFnbW9tcSZHAAAAAAAAAABzWAUAAABsYWJlbHEnaCFYAwAAAHh5enEoXXEpKEdADcWDyGYfbUc/+8elUbOm4UdACcQuNEXX0WV1fXEqKGgdXXErfXEsKGggaCFoIksBdWFoI11xLShHP9xGTuQTu0lHP+gAAAAAAABHP+gAAAAAAABlaBh9cS5oJkcAAAAAAAAAAHNoJ2ghaChdcS8oR0AHkAGqiu7eR0AU1bv9Rr0pR0AjUyKnNGHdZXV9cTAoaB1dcTF9cTIoaCBoIWgiSwF1YWgjXXEzKEc/6n8cSo5umEc/6AAAAAAAAEc/7+Y1aRhyaGVoGH1xNGgmRwAAAAAAAAAAc2gnaCFoKF1xNShHQBYUq38N+qdHQBTVu/1GvSlHQCmvadBHTIJldX1xNihoHV1xN31xOChoIGghaCJLAXVhaCNdcTkoRz/qfxxKjm6YRz/oAAAAAAAARz/gGcqW542YZWgYfXE6aCZHAAAAAAAAAABzaCdoIWgoXXE7KEdAFhSrfw36p0dAFNW7/Ua9KUdAGe22/ELub2V1fXE8KGgdXXE9fXE+KGggaCFoIksBdWFoI11xPyhHP8YDjtXGRZ9HP9AAAAAAAABHP2nKlueNmFllaBh9cUBoJkcAAAAAAAAAAHNoJ2ghaChdcUEoRz/yWFzpqjH5Rz/7x6VRs6bhRz+kxGP+i08lZXV9cUIoaB1dcUN9cUQoaCBoIWgiSwF1YWgjXXFFKEc/xgOO1cZFn0c/0AAAAAAAAEc/38xq0jDkz2VoGH1xRmgmRwAAAAAAAAAAc2gnaCFoKF1xRyhHP/JYXOmqMflHP/vHpVGzpuFHQBmapWxIwTJldX1xSChoHV1xSX1xSihoIFgCAAAAU25xS2giSwF1YWgjXXFMKEc/1UxtAIlnyEc/6AAAAAAAAEc/wGQsDvydH2VoGH1xTWgmRwAAAAAAAAAAc2gnWAIAAABTbnFOaChdcU8oR0ABv8AuSWBCR0AU1bv9Rr0pRz/6ZX9IrhNiZXV9cVAoaB1dcVF9cVIoaCBoS2giSwF1YWgjXXFTKEc/1UxtAIlnyEc/6AAAAAAAAEc/183p+IGxcGVoGH1xVGgmRwAAAAAAAAAAc2gnWAIAAABTbnFVaChdcVYoR0ABv8AuSWBCR0AU1bv9Rr0pR0ATKs5iGlL4ZXV9cVcoaB1dcVh9cVkoaCBoS2giSwF1YWgjXXFaKEc/pILwisIQW0c/4JXm51U5Qkc/0AAAAAAAAGVoGH1xW2gmRwAAAAAAAAAAc2gnWAIAAABTbnFcaChdcV0oRz/RF9ffU13CR0AMy+lsy1EtR0AJxC40RdfRZXV9cV4oaB1dcV99cWAoaCBoS2giSwF1YWgjXXFhKEc/pILwisIQW0c/72oZGKrGvkc/0AAAAAAAAGVoGH1xYmgmRwAAAAAAAAAAc2gnWAIAAABTbnFjaChdcWQoRz/RF9ffU13CR0AbRYNEJ9G7R0AJxC40RdfRZXV9cWUoaB1dcWZ9cWcoaCBoS2giSwF1YWgjXXFoKEc/7rfQ91Pe+kc/krzc6qcoTUc/6AAAAAAAAGVoGH1xaWgmRwAAAAAAAAAAc2gnWAIAAABTbnFqaChdcWsoR0AZmUU7g1FJRz/AREGxeqTPR0AjUyKnNGHdZXV9cWwoaB1dcW19cW4oaCBoS2giSwF1YWgjXXFvKEc/7rfQ91Pe+kc/3tQyMVWNe0c/6AAAAAAAAGVoGH1xcGgmRwAAAAAAAAAAc2gnWAIAAABTbnFxaChdcXIoR0AZmUU7g1FJR0AKw2E2m/yUR0AjUyKnNGHdZXV9cXMoaB1dcXR9cXUoaCBoS2giSwF1YWgjXXF2KEc/5VnJf7tMHEc/0AAAAAAAAEc/5BkLA78nSGVoGH1xd2gmRwAAAAAAAAAAc2gnWAIAAABTbnF4aChdcXkoR0ARyuKiU9cERz/7x6VRs6bhR0AgLscDOK5VZXV9cXooaB1dcXt9cXwoaCBoS2giSwF1YWgjXXF9KEc/5VnJf7tMHEc/0AAAAAAAAEc/6+b0/EDYuGVoGH1xfmgmRwAAAAAAAAAAc2gnWAIAAABTbnF/aChdcYAoR0ARyuKiU9cERz/7x6VRs6bhR0Amd35LMBVlZXV9cYEoaB1dcYJ9cYMoaCBYAgAAAEF1cYRoIksBdWFoI11xhShHP+X+NwfUCdhHP+gAAAAAAABHP9AAAAAAAABlaBh9cYZoJkcAAAAAAAAAAHNoJ1gCAAAAQXVxh2goXXGIKEdAElPpD1wCP0dAFNW7/Ua9KUdACcQuNEXX0WV1fXGJKGgdXXGKfXGLKGggaIRoIksBdWFoI11xjChHP9QDkfBX7FBHP9AAAAAAAABHP+gAAAAAAABlaBh9cY1oJkcAAAAAAAAAAHNoJ1gCAAAAQXVxjmgoXXGPKEdAAK2zVDkJzEc/+8elUbOm4UdAI1MipzRh3WV1ZXVYBgAAAHRhcmdldHGQRz/ZoCdSVGCwdS5QSwcIfCJ6xYUJAACFCQAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAaADMAbWItbXAtZ2FwLTA5OTI2OC9ieXRlb3JkZXJGQi8AWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpsaXR0bGVQSwcIhT3jGQYAAAAGAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAYADQAbWItbXAtZ2FwLTA5OTI2OC92ZXJzaW9uRkIwAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjMKUEsHCNGeZ1UCAAAAAgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAJwApAG1iLW1wLWdhcC0wOTkyNjgvLmRhdGEvc2VyaWFsaXphdGlvbl9pZEZCJQBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMDYzNjQ1NzczNzk0NjQwMTA1MTMwMDAwMDAyNDYyODY0NDQ5NTk0M1BLBwjgKE5CKAAAACgAAABQSwECAAAAAAgIAAAAAAAAfCJ6xYUJAACFCQAAGQAAAAAAAAAAAAAAAAAAAAAAbWItbXAtZ2FwLTA5OTI2OC9kYXRhLnBrbFBLAQIAAAAACAgAAAAAAACFPeMZBgAAAAYAAAAaAAAAAAAAAAAAAAAAANUJAABtYi1tcC1nYXAtMDk5MjY4L2J5dGVvcmRlclBLAQIAAAAACAgAAAAAAADRnmdVAgAAAAIAAAAYAAAAAAAAAAAAAAAAAFYKAABtYi1tcC1nYXAtMDk5MjY4L3ZlcnNpb25QSwECAAAAAAgIAAAAAAAA4ChOQigAAAAoAAAAJwAAAAAAAAAAAAAAAADSCgAAbWItbXAtZ2FwLTA5OTI2OC8uZGF0YS9zZXJpYWxpemF0aW9uX2lkUEsGBiwAAAAAAAAAHgMtAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAACoBAAAAAAAAeAsAAAAAAABQSwYHAAAAAKIMAAAAAAAAAQAAAFBLBQYAAAAABAAEACoBAAB4CwAAAAA=" | ./matbench_mp_gap/mb-mp-gap-099268 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-038901 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-003074 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-029048 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-050490 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-015822 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-061079 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-050274 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-053510 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-020236 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-026419 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-040138 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-029780 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-077037 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-049059 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-037556 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-000477 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-000188 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTAxNTE4My9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQBK0/yW6eblHP7Id0c0RwR5HP5o96htnOaBlXXENKEc/tCpbHV0IGUdAFvwPpmYwt0e/VnhyLJg5cmVdcQ4oRz+1Id3LTMUAR7930YA6zdxBR0AvWK5ed6+PZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAErWd5kv8HFgBAAAAYnESR0AW/J05DCDyWAEAAABjcRNHQC9YywDF38BYBQAAAGFscGhhcRRHQFaB+IMLP+FYBAAAAGJldGFxFUdAVlieeasLtFgFAAAAZ2FtbWFxFkdAVhZCK1Jw/lgGAAAAdm9sdW1lcRdHQHpReJYpICl1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABNbnEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP45xO1aYPSNHP8aSKztCIGFHP9rXAMLIkgBlaBh9cSVYBgAAAG1hZ21vbXEmR0ARG6XjU/fPc1gFAAAAbGFiZWxxJ1gCAAAATW5xKFgDAAAAeHl6cSldcSooRz++Nu/xOvfyRz/wMJm6zNfvR0AaSs6065c0ZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/lHYbOkMc4Ec/6wplU+y8K0c/zxuld/QtZGVoGH1xL2gmR0ARztkWhysCc2gnWAIAAABNbnEwaCldcTEoRz/HDLHh3PrgR0ATbCT4sQSJR0AOd6qwkvE4ZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/oY1eos2f20c/xVkmTG/wKEc/tNKAleeIZWVoGH1xNmgmR0AQRJul41P4c2gnWAIAAABNbnE3aCldcTgoRz/HEBraPBvARz/uuuV/FE8dRz/0aEpDTVjKZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/ck0kdgEOHUc/wysoYknMJ0c/57SbUqxKS2VoGH1xPWgmR0AQdLxqfvnbc2gnWAIAAABNbnE+aCldcT8oRz+4BibH7TKARz/raJ8bK/hHR0AnOJxltJd1ZXV9cUAoaB1dcUF9cUIoaCBoIWgiSwF1YWgjXXFDKEc/mL73dxpot0c/622QjFS3kkc/4nZNKSiYUGVoGH1xRGgmR0AQGZmZmZmac2gnWAIAAABNbnFFaCldcUYoRz/NNF0ddcqTR0ATsbBykQgIR0AiFXvFfFLGZXV9cUcoaB1dcUh9cUkoaCBoIWgiSwF1YWgjXXFKKEc/lUD2wDtD+Uc/64n8aEXkkUc/7Skhlyl80WVoGH1xS2gmR0ARXS8an753c2gnWAIAAABNbnFMaCldcU0oRz/OuwebfJyaR0ATw92P/0IGR0AskFOQAcpxZXV9cU4oaB1dcU99cVAoaCBoIWgiSwF1YWgjXXFRKEc/3wVA3JQVIEc/1bdpOFLXvkc/4tbnEh1j6WVoGH1xUmgmR0AQDEm6XjU/c2gnWAIAAABNbnFTaCldcVQoR0ACvK6fV019Rz//sMe8THxUR0AieoSQN/t0ZXV9cVUoaB1dcVZ9cVcoaCBoIWgiSwF1YWgjXXFYKEc/4B2CRuyjgkc/1OvCEDBO0kc/7bVmM5CmK2VoGH1xWWgmR0AQ3jU/fO2Rc2gnWAIAAABNbnFaaCldcVsoR0ADqS+PRG4sRz/+iZ129ZLUR0AtIHCNwMfJZXV9cVwoaB1dcV19cV4oaCBoIWgiSwF1YWgjXXFfKEc/4Ff62KPFl0c/1owiLPuLp0c/0C4WqTnKp2VoGH1xYGgmR0AQocrAgxJvc2gnWAIAAABNbnFhaCldcWIoR0ADf2/Kk/UYR0AAePUPWZHhR0APzMqcGO8rZXV9cWMoaB1dcWR9cWUoaCBoIWgiSwF1YWgjXXFmKEc/31s8nGiA80c/5IGKxJSaAEc/tcSou/ZlzWVoGH1xZ2gmR0AQVgQYk3S8c2gnWAIAAABNbnFoaCldcWkoR0ACym5CeTM7R0ANuyoSOYUZRz/1gqrtPxMlZXV9cWooaB1dcWt9cWwoaCBoIWgiSwF1YWgjXXFtKEc/37/1mR7KcEc/5IU8f+MPLkc/2wiWh0B7m2VoGH1xbmgmR0AQbZFocrAhc2gnWAIAAABNbnFvaCldcXAoR0ADPmuHr1hSR0ANvVgx+Q4uR0Aah1rk89rKZXV9cXEoaB1dcXJ9cXMoaCBoIWgiSwF1YWgjXXF0KEc/39SIeDQZN0c/5LYkmhM8HUc/6BHd6NPpd2VoGH1xdWgmR0AQ0euFHrhSc2gnWAIAAABNbnF2aCldcXcoR0ADgymswj7LR0AN/9r4aMcgR0AnmhV7yruvZXV9cXgoaB1dcXl9cXooaCBYAQAAAE9xe2giSwF1YWgjXXF8KEc/y0EHXD/G6kc/u1Xlj7xLH0c/5EkoR8e/yGVoGH1xfWgmR7/CTdLxqfvnc2gnaHtoKV1xfihHP/Dnhp9kqbJHP+P/nKb8LPVHQCPhzr41tlVldX1xfyhoHV1xgH1xgShoIGh7aCJLAXVhaCNdcYIoRz/MLXRs5FncRz+92dUd/xl7Rz/vHjsOntRBZWgYfXGDaCZHv8ul41P3ztlzaCdoe2gpXXGEKEc/8eddgZe4f0c/5cIwPnXfAEdALn5UYR7ay2V1fXGFKGgdXXGGfXGHKGggaHtoIksBdWFoI11xiChHP84lAe0VFr5HP+xhyrskrrZHP8EoYrUr8UtlaBh9cYloJke/yp++dsi0OXNoJ2h7aCldcYooRz/y6s89+K7eR0AUcw/xImzSR0AA2IqdmxT1ZXV9cYsoaB1dcYx9cY0oaCBoe2giSwF1YWgjXXGOKEc/zLxtWR7VLUc/7INImfe4Xkc/3hlzxHLhHmVoGH1xj2gmR7/FgQYk3S8bc2gnaHtoKV1xkChHP/KLB61KI6RHQBSIUZDPKgBHQB2Atfs91vFldX1xkShoHV1xkn1xkyhoIGh7aCJLAXVhaCNdcZQoRz/NE7338sBRRz/sZSZwAUTPRz/pjMVwYhLFZWgYfXGVaCZHv8kWhysCDEpzaCdoe2gpXXGWKEc/8yvVVwXtzkdAFHDp9Tol/EdAKQmJIvDpTGV1fXGXKGgdXXGYfXGZKGggaHtoIksBdWFoI11xmihHP9J5PgRygHtHP9k8YIN4b/5HP8L2vri37OxlaBh9cZtoJke/yZmZmZmZmnNoJ2h7aCldcZwoRz/2SrFuJlyGR0ACSFwhZPSLR0ACoaFd0kVSZXV9cZ0oaB1dcZ59cZ8oaCBoe2giSwF1YWgjXXGgKEc/0hf3rfbzvUc/2aq4sIsis0c/3uoBpnNGymVoGH1xoWgmR7/IMSbpeNT+c2gnaHtoKV1xoihHP/ZMXHjKcoFHQAKSxK6cfvJHQB5POJ9FdvBldX1xoyhoHV1xpH1xpShoIGh7aCJLAXVhaCNdcaYoRz/nMyJ2+FnuRz/YcBSwO0aoRz+fWX52fYrFZWgYfXGnaCZHv8nbItDlYEJzaCdoe2gpXXGoKEdAC2K+j9njSUdAAfZCiBQJckc/391l4CGepmV1fXGpKGgdXXGqfXGrKGggaHtoIksBdWFoI11xrChHP+ccyHLK+LdHP9jSIYrqKVRHP9cwCUenXn5laBh9ca1oJke/x87ZFocrAnNoJ2h7aCldca4oR0ALgabghbIKR0ACOFc41eh9R0AWyTQcSjsfZXV9ca8oaB1dcbB9cbEoaCBoe2giSwF1YWgjXXGyKEc/5pL1L+1YiUc/19yk5tS1z0c/5jmEIAq3aWVoGH1xs2gmR7/DtkWhysCDc2gnaHtoKV1xtChHQAsWQSqKm2xHQAGBnsnE0VdHQCXOTcj1dMlldX1xtShoHV1xtn1xtyhoIFgBAAAARnG4aCJLAXVhaCNdcbkoRz/OC4JqKBHtRz+9podov4cURz/TfsW4hm7FZWgYfXG6aCZHP6LxqfvnbItzaCdouGgpXXG7KEc/8hzG7JI0LEc/5cWcCJCYF0dAEx7VoByKl2V1fXG8KGgdXXG9fXG+KGggaLhoIksBdWFoI11xvyhHP9CUyTrG+1JHP+N8dBR535VHP9PQwaP5xNNlaBh9ccBoJkc/qp++dsi0OXNoJ2i4aCldccEoRz/0kB2X+/3yR0AMH/dxMtXLR0ATbxcyr26/ZXV9ccIoaB1dccN9ccQoaCBouGgiSwF1YWgjXXHFKEc/0CGSS/JxzUc/43GxF+V57Uc/5LATHZQPl2VoGH1xxmgmRz+oEGJN0vGqc2gnaLhoKV1xxyhHP/R640zN6S9HQAwLedV5Nl5HQCRGyNgfg0pldX1xyChoHV1xyX1xyihoIGi4aCJLAXVhaCNdccsoRz/RIIoONk6cRz/YpJRJeJnwRz/qKL04hSylZWgYfXHMaCZHP6HrhR64UexzaCdouGgpXXHNKEc/9Zb9Du3m/EdAAdBO19lBqEdAKaMzjx5/jGV1fXHOKGgdXXHPfXHQKGggaLhoIksBdWFoI11x0ShHP9BHKNOzxsFHP+OfIOJNvXhHP+8ic6gYYndlaBh9cdJoJkc/sm6XjU/fO3NoJ2i4aCldcdMoRz/1FwHV+/VDR0AMSTEql04rR0AugpCKE6o1ZXV9cdQoaB1dcdV9cdYoaCBouGgiSwF1YWgjXXHXKEc/55kHqMDT8Ec/48XlcjUmqEc/yVPE+RjbGGVoGH1x2GgmRz+qn752yLQ5c2gnaLhoKV1x2ShHQAwcPOyB+FdHQAzQIP7ZDh5HQAj0Tt8Z505ldX1x2ihoHV1x231x3ChoIGi4aCJLAXVhaCNdcd0oRz/oDO1Dj8y8Rz/j4kpylPLsRz/hGuJ0U+TaZWgYfXHeaCZHP52yLQ5WBBlzaCdouGgpXXHfKEdADN032E/TykdADPb1tHPXz0dAIMrfVXjf7WV1fXHgKGgdXXHhfXHiKGggaLhoIksBdWFoI11x4yhHP+dSv1pzaQNHP+Ou5P/0bHlHP+ukb8EuCCZlaBh9ceRoJkc/lHrhR64Ue3NoJ2i4aCldceUoR0AMOjJWDhqgR0AMpelfI0ZaR0ArHQixgWvnZXV9ceYoaB1dced9cegoaCBouGgiSwF1YWgjXXHpKEc/6QyZBXUJ7Uc/wEFrWkEUHEc/yEHTymz2I2VoGH1x6mgmRz+crAgxJul5c2gnaLhoKV1x6yhHQA1+D9/1ZRJHP+kW0IStdcpHQAfruHX8U+5ldX1x7ChoHV1x7X1x7ihoIGi4aCJLAXVhaCNdce8oRz/n77y2fy2IRz++sINrBATyRz/gwgH9sRtAZWgYfXHwaCZHP6wo9cKPXClzaCdouGgpXXHxKEdADGhaav2WIEc/56PKIofCvkdAIHQdw3ulfWV1fXHyKGgdXXHzfXH0KGggaLhoIksBdWFoI11x9ShHP+g+cS9CN95HP+wfjU6HonZHP9ba5jVTnuRlaBh9cfZoJkc/gGJN0vGp/HNoJ2i4aCldcfcoR0ANIqdWKxo8R0AUZ/3dyVkNR0AWdgsyFngsZXV9cfgoaB1dcfl9cfooaCBouGgiSwF1YWgjXXH7KEc/6A+PdNKP2kc/6+RHYmotcEc/loK83kJAFmVoGH1x/GgmRz+QYk3S8an8c2gnaLhoKV1x/ShHQAyyBEbsN0JHQBQ+/5lZO+FHP9c1Jl9TewxldX1x/ihoHV1x/31yAAEAAChoIGi4aCJLAXVhaCNdcgEBAAAoRz/oi9fvwJe1Rz++vXTAG2OJRz/rKZezu1jcZWgYfXICAQAAaCZHP6FocrAgxJxzaCdouGgpXXIDAQAAKEdADVXfCH7EiEc/56ik9TmBg0dAKqWMUn0HF2V1fXIEAQAAKGgdXXIFAQAAfXIGAQAAKGggaLhoIksBdWFoI11yBwEAAChHP+hf7fGKnFFHP+vDUwuVtV5HP+XOPbBktzplaBh9cggBAABoJkc/oeuFHrhR7HNoJ2i4aCldcgkBAAAoR0ANftGT7tZ7R0AUJBzMiUpuR0AlZZxVUqJeZXVldVgGAAAAdGFyZ2V0cgoBAABHAAAAAAAAAAB1LlBLBwiF/gNHhxIAAIcSAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABoAMQBtYi1tcC1nYXAtMDE1MTgzL2J5dGVvcmRlckZCLQBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpsaXR0bGVQSwcIhT3jGQYAAAAGAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAYADQAbWItbXAtZ2FwLTAxNTE4My92ZXJzaW9uRkIwAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjMKUEsHCNGeZ1UCAAAAAgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAJwApAG1iLW1wLWdhcC0wMTUxODMvLmRhdGEvc2VyaWFsaXphdGlvbl9pZEZCJQBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMDYzNjQ1NzczNzk0NjQwMTA1MTMwMDAwMDAxNTk1MzAwNjUxNDI5M1BLBwhPrVLaKAAAACgAAABQSwECAAAAAAgIAAAAAAAAhf4DR4cSAACHEgAAGQAAAAAAAAAAAAAAAAAAAAAAbWItbXAtZ2FwLTAxNTE4My9kYXRhLnBrbFBLAQIAAAAACAgAAAAAAACFPeMZBgAAAAYAAAAaAAAAAAAAAAAAAAAAANcSAABtYi1tcC1nYXAtMDE1MTgzL2J5dGVvcmRlclBLAQIAAAAACAgAAAAAAADRnmdVAgAAAAIAAAAYAAAAAAAAAAAAAAAAAFYTAABtYi1tcC1nYXAtMDE1MTgzL3ZlcnNpb25QSwECAAAAAAgIAAAAAAAAT61S2igAAAAoAAAAJwAAAAAAAAAAAAAAAADSEwAAbWItbXAtZ2FwLTAxNTE4My8uZGF0YS9zZXJpYWxpemF0aW9uX2lkUEsGBiwAAAAAAAAAHgMtAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAACoBAAAAAAAAeBQAAAAAAABQSwYHAAAAAKIVAAAAAAAAAQAAAFBLBQYAAAAABAAEACoBAAB4FAAAAAA=" | ./matbench_mp_gap/mb-mp-gap-015183 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-073674 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-077333 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-102952 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-042853 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-041957 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-100750 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-103147 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTAwMDc5MC9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHAAAAAAAAAABHQCEdX3AoBi5HAAAAAAAAAABlXXENKEdAIlQKVW5xeEcAAAAAAAAAAEfAFUIb4LEwOWVdcQ4oR8Aho0GvosVnRwAAAAAAAAAAR8AUIbBRQRBBZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAIR1fcCgGLlgBAAAAYnESR0AlL/aoTH8nWAEAAABjcRNHQCRO0G6Hxc5YBQAAAGFscGhhcRRHQF4LQ2ywvX1YBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAVoAAAAAAAFgGAAAAdm9sdW1lcRdHQIjeCTTyb7R1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABSYnEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP9U7+B4JVWlHP+XYBKkyEvhHP+7aaCYEIKFlaBh9cSVYBgAAAG1hZ21vbXEmRz9QYk3S8an8c1gFAAAAbGFiZWxxJ1gCAAAAUmJxKFgDAAAAeHl6cSldcSooR8AB+jnJzycQR0AGtrL6inT0R8Ag9e/5hIHHZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/5WID8PtVS0c/1E/2rZvaEUc/oll9n73172VoGH1xL2gmRz9QYk3S8an8c2gnWAIAAABSYnEwaCldcTEoR0AEvVxg/ddWR0AW32VjCtHiR7/937D7pPOxZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/6p38DwSqtUc/6if7Vs3tCEc/4SWX2fvfX2VoGH1xNmgmRz9QYk3S8an8c2gnWAIAAABSYnE3aCldcTgoR0AGHu2slS92R0AceLjtbUCoR8AcKdJX4l0pZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/xYgPw+1VLkc/x2ASpMhL30c/3bTQTAhBQmVoGH1xPWgmRz9QYk3S8an8c2gnWAIAAABSYnE+aCldcT8oR8ADW8sVZn8yRz/3CBfLiy7QR8AKc/O0H8ahZXV9cUAoaB1dcUF9cUIoaCBYAgAAAEVycUNoIksBdWFoI11xRChHP9edGEl37iNHP+77TFxPC1ZHP+b5DBrraMRlaBh9cUVoJke/nbItDlYEGXNoJ1gCAAAARXJxRmgpXXFHKEdABFTZxr3kSkdACUJDZFuGe0fAIYRhMIX0BmV1fXFIKGgdXXFJfXFKKGggaENoIksBdWFoI11xSyhHP+Qxc9tECO5HP6BLOjsPSqFHP9IN58opLnhlaBh9cUxoJke/nbItDlYEGXNoJ1gCAAAARXJxTWgpXXFOKEfAAZG3L480BkdAFZmdLiJJHke/+WwnQ5lhtmV1fXFPKGgdXXFQfXFRKGggaENoIksBdWFoI11xUihHP+vOjCS79xJHP+EEs6Ow9KpHP+kG8+UUlzxlaBh9cVNoJke/nbItDlYEGXNoJ1gCAAAARXJxVGgpXXFVKEfAADAl4/fb5EdAHb6BIlXJbEfAGwzv6d94q2V1fXFWKGgdXXFXfXFYKGggaENoIksBdWFoI11xWShHP8DFz20QI7pHP932mLieFqxHP8vkMGutoxFlaBh9cVpoJke/nbItDlYEGXNoJ1gCAAAARXJxW2gpXXFcKEdAAvNIeyaMJ0c/8fD29+kLw0fADK24kCWPnmV1fXFdKGgdXXFefXFfKGggWAEAAABTcWBoIksBdWFoI11xYShHP8DieRv1qeZHP9Q51JfHXHVHP+wIGY8dPtVlaBh9cWJoJkeAAAAAAAAAAHNoJ1gBAAAAU3FjaCldcWQoR8ATUPrVjjuJRz/yD5/gQlRDR8AYWnD7+fcoZXV9cWUoaB1dcWZ9cWcoaCBoYGgiSwF1YWgjXXFoKEc/68dhuQKVh0c/5eMVtBxRxUc/v78zhxYJV2VoGH1xaWgmR4AAAAAAAAAAc2gnaGNoKV1xaihHQBSyjCElk6tHQB221ug/d0xHwBEJWzX4SVJldX1xayhoHV1xbH1xbShoIGhgaCJLAXVhaCNdcW4oRz/kOJ5G/Wp5Rz/HjFbQcUcVRz/j9+Zw4sErZWgYfXFvaCZHgAAAAAAAAABzaCdoY2gpXXFwKEfADol/x9dGaEdAFaFHaDibPkfAEHklbkA5VWV1fXFxKGgdXXFyfXFzKGggaGBoIksBdWFoI11xdChHP9eOw3IFKw1HP+oc6kvjrjtHP9gQMx46faplaBh9cXVoJkeAAAAAAAAAAHNoJ2hjaCldcXYoR0AQplEvgvtWR0AJMu7wLuI7R8AY6qbDsgckZXV9cXcoaB1dcXh9cXkoaCBoYGgiSwF1YWgjXXF6KEc/ySww4HKb/0c/43tpEhJRO0c/4yP/mVLM12VoGH1xe2gmR798rAgxJul5c2gnaGNoKV1xfChHP9N53N7ndZBHP/rtKi3nGHhHwBj74st/ZFJldX1xfShoHV1xfn1xfyhoIGhgaCJLAXVhaCNdcYAoRz/ptPPH41kARz/ZCS3b212JRz/ZuADNWmZTZWgYfXGBaCZHv3ysCDEm6XlzaCdoY2gpXXGCKEc/pPm+1HBjwEdAG390VNZGPkfAEGfpZnLcKGV1fXGDKGgdXXGEfXGFKGggaGBoIksBdWFoI11xhihHP+ZLDDgcpwBHP+yElu3trsVHP+zcAGatMyllaBh9cYdoJke/fKwIMSbpeXNoJ2hjaCldcYgoRz/LV4RukZtAR0AX2Kn7ocxMR8AijOe/tf4yZXV9cYkoaB1dcYp9cYsoaCBoYGgiSwF1YWgjXXGMKEc/02nnj8ayAUc/u9tIkJKJ20c/uR/8ypZmtGVoGH1xjWgmR798rAgxJul5c2gnaGNoKV1xjihHP8DapQRZaSxHQATEKclcgCBHv/En8soZEFZldX1xjyhoHV1xkH1xkShoIFgBAAAAT3GSaCJLAXVhaCNdcZMoRz/pT0FA5/ypRz+bEpriRAJjRz/vD9GO/mAYZWgYfXGUaCZHP8ZmZmZmZmZzaCdokmgpXXGVKEfAIKLTJGYzREdAGxKr8zmq/0fAFBp3jCgIOWV1fXGWKGgdXXGXfXGYKGggaJJoIksBdWFoI11xmShHP8rC+vxgDVxHP+8nayjt3+1HP54FziAz/QhlaBh9cZpoJkc/xmZmZmZmZnNoJ2iSaCldcZsoR0AhU5vKMd9VRz/8oEu0WYV0R8AVSVSlyjhBZXV9cZwoaB1dcZ19cZ4oaCBokmgiSwF1YWgjXXGfKEc/0p6Cgc/5Ukc/3k7WUdu/2kc/4PAucQGf6GVoGH1xoGgmRz/GZmZmZmZmc2gnaJJoKV1xoShHv9UBRwrXg2BHQAPqmQYjSaJHwBS5Ht4SKEVldX1xoihoHV1xo31xpChoIGiSaCJLAXVhaCNdcaUoRz/msL6/GANXRz/g2JTXEiATRz/eH6Md/MAwZWgYfXGmaCZHP8ZmZmZmZmZzaCdokmgpXXGnKEc/5Y0t4iaCwEdAGEVyXT5ni0fAFKqtU+AYNWV1fXGoKGgdXXGpfXGqKGggaJJoIksBdWFoI11xqyhHP8pUL5edQBdHP8aRVv/sCP1HP+hv441YmJ1laBh9caxoJkc/m6XjU/fO2XNoJ2iSaCldca0oR8AUebcYKxB+Rz/8Kcgzw58aR8ATHyhhkDK5ZXV9ca4oaB1dca99cbAoaCBokmgiSwF1YWgjXXGxKEc/6Wr0Ghiv+kc/6luqQAT9wUc/zkBxyp2dimVoGH1xsmgmRz+bpeNT987Zc2gnaJJoKV1xsyhHQBXbSGPCaKFHQBswTNNfJJVHwBZEo9BiDcFldX1xtChoHV1xtX1xtihoIGiSaCJLAXVhaCNdcbcoRz/mlQvl51AGRz/Ut1SACfuBRz/nkBxyp2djZWgYfXG4aCZHP5ul41P3ztlzaCdokmgpXXG5KEfADDgHQp2cf0dAGCfRfRjt9UfAFbRuCKn9xWV1fXG6KGgdXXG7fXG8KGggaJJoIksBdWFoI11xvShHP9LV6DQxX/RHP+WkVb/7Aj9HP9DfxxqxMTtlaBh9cb5oJkc/m6XjU/fO2XNoJ2iSaCldcb8oR0AO+ynZzEzAR0AEJdrGbjzPR8ATr14pSEK1ZXV9ccAoaB1dccF9ccIoaCBokmgiSwF1YWgjXXHDKEc/0zyivdqWj0c/57E5w/EGEkc/5cKgHcIywGVoGH1xxGgmRz/CTdLxqfvnc2gnaJJoKV1xxShHP+k4BCUXg6hHQASTvY+PNaFHwB1tzMEIZhpldX1xxihoHV1xx31xyChoIGiSaCJLAXVhaCNdcckoRz/mYa6hErS5Rz/QnYx4HfPcRz/Uer/Ee5qAZWgYfXHKaCZHP8JN0vGp++dzaCdokmgpXXHLKEe/3FbzkLmFMEdAF/DgGIhxjEfAB+v+4dO0wmV1fXHMKGgdXXHNfXHOKGggaJJoIksBdWFoI11xzyhHP+meUV7tS0dHP+hOxjwO+e5HP+o9X+I9zUBlaBh9cdBoJkc/wk3S8an753NoJ2iSaCldcdEoR7/RSmkz/sQgR0AbZz4376D+R8AgU/LE8X1PZXV9cdIoaB1dcdN9cdQoaCBokmgiSwF1YWgjXXHVKEc/yYa6hErS4kc/zsTnD8QYSEc/xwqAdwjLAGVoGH1x1mgmRz/CTdLxqfvnc2gnaJJoKV1x1yhHP+Oxvva6IyBHP/tOAqGBrXdHwAF3zVAei7hldX1x2ChoHV1x2X1x2ihoIGiSaCJLAXVhaCNdcdsoRz/ZEVqmE9BsRz++v+CrJgj+Rz/vSyAfBFIfZWgYfXHcaCZHP1BiTdLxqfxzaCdokmgpXXHdKEfAHhfz8eHwZEdACtB1S4R7DkfAFj2UOFlB0GV1fXHeKGgdXXHffXHgKGggaJJoIksBdWFoI11x4ShHP+N3Uqz2F8pHP+woA+qbPuBHP5ab/B91vBplaBh9ceJoJkc/UGJN0vGp/HNoJ2iSaCldceMoR0AfeYU9eUiGR0AU0oQ6jc7VR8ATJjf5mP6qZXV9ceQoaB1dceV9ceYoaCBokmgiSwF1YWgjXXHnKEc/7IitUwnoNkc/2FAH1TZ9wEc/4LTf4Put4WVoGH1x6GgmRz9QYk3S8an8c2gnaJJoKV1x6ShHv/H3Gx5fuWRHQB6FmhXqQ7VHwBKWAjHg7q5ldX1x6ihoHV1x631x7ChoIGiSaCJLAXVhaCNdce0oRz+7upVnsL5ORz/j1/wVZMEgRz/elkA+CKQ+ZWgYfXHuaCZHP1BiTdLxqfxzaCdokmgpXXHvKEc/931gTL0Z7Ec/7akmUy5FNkfAFs3KABFRzGV1fXHwKGgdXXHxfXHyKGggaJJoIksBdWFoI11x8yhHP73AYoYyCLxHP+4OjB9dk1lHP+jmx+rlvIhlaBh9cfRoJkc/8/vnbItDlnNoJ2iSaCldcfUoRz/7687NfgLQRz/v0wbX/n7gR8Ah0QwlNGB2ZXV9cfYoaB1dcfd9cfgoaCBokmgiSwF1YWgjXXH5KEc/7Efzrzm+6Uc/rxc+CibKb0c/zGTgVGkN4WVoGH1x+mgmRz/z++dsi0OWc2gnaJJoKV1x+yhHv/ZliZ8gokxHQB5AXgVQPIFHv/cGz54l/jVldX1x/ChoHV1x/X1x/ihoIGiSaCJLAXVhaCNdcf8oRz/juAxQxkEXRz/h8XPgomynRz/nGTgVGkN4ZWgYfXIAAQAAaCZHP/P752yLQ5ZzaCdokmgpXXIBAQAAKEe/86JnB/HyBEdAFRfASyfWCUfAGnOaAIKfymV1fXICAQAAKGgdXXIDAQAAfXIEAQAAKGggaJJoIksBdWFoI11yBQEAAChHP9iP515zfdFHP9wdGD67JrJHP9HNj9XLeRBlaBh9cgYBAABoJkc/8/vnbItDlnNoJ2iSaCldcgcBAAAoRz/5KKw2T1KOR0AKRf0qUGykR8AN4GRi30FfZXV9cggBAAAoaB1dcgkBAAB9cgoBAAAoaCBokmgiSwF1YWgjXXILAQAAKEc/0BlTYylwEUc/2t9SFUuWrEc/74/3ugtUHGVoGH1yDAEAAGgmRz+MrAgxJul5c2gnaJJoKV1yDQEAAChHwBNm0mO/elxHQAE4doe4bDJHwBzIPiPncI5ldX1yDgEAAChoHV1yDwEAAH1yEAEAAChoIGiSaCJLAXVhaCNdchEBAAAoRz/n81ZOa0f4Rz/ikFb1WjSqRz+MAhF9Kvj9ZWgYfXISAQAAaCZHP4ysCDEm6XlzaCdokmgpXXITAQAAKEdAFMhjr1bSfkdAGZ6DnHPWREfACTccHBWf2WV1fXIUAQAAKGgdXXIVAQAAfXIWAQAAKGggaJJoIksBdWFoI11yFwEAAChHP+gMqbGUuAhHP7SCt6rRpU9HP+BwCEX0q+RlaBh9chgBAABoJkc/jKwIMSbpeXNoJ2iSaCldchkBAAAoR8AOXdCrdMjCR0AZuZq0BDxGR8AIFrCMpX/gZXV9choBAAAoaB1dchsBAAB9chwBAAAoaCBokmgiSwF1YWgjXXIdAQAAKEc/z81ZOa0f3kc/7W+pCqXLVkc/3x/vdBaoOGVoGH1yHgEAAGgmRz+MrAgxJul5c2gnaJJoKV1yHwEAAChHQBCQeaFRvINHQAECSFiXoCpHwB1Yc+ufgIpldX1yIAEAAChoHV1yIQEAAH1yIgEAAChoIGiSaCJLAXVhaCNdciMBAAAoRz+K6vgGC4fJRz/TL0TG2W3FRz/vJZDOGP0nZWgYfXIkAQAAaCZHP3BiTdLxqfxzaCdokmgpXXIlAQAAKEfAF1i/dlChbEc/vMsR98f3DEfAGfeYh076OWV1fXImAQAAKGgdXXInAQAAfXIoAQAAKGggaJJoIksBdWFoI11yKQEAAChHP++UVB/n0eFHP+ZoXZyTSR5HP5tN5jzgWx9laBh9cioBAABoJkc/cGJN0vGp/HNoJ2iSaCldcisBAAAoR0AYulDB5/mNR0Ag48lMOHZAR8AO2GdVRoyCZXV9ciwBAAAoaB1dci0BAAB9ci4BAAAoaCBokmgiSwF1YWgjXXIvAQAAKEc/4Gur4BguH0c/yaF2ck0kdkc/4NpvMecC2WVoGH1yMAEAAGgmRz9wYk3S8an8c2gnaJJoKV1yMQEAAChHwAZ59oZSeqVHQBGQi7gHJgpHwA23+8XWbIpldX1yMgEAAChoHV1yMwEAAH1yNAEAAChoIGiSaCJLAXVhaCNdcjUBAAAoRz/fKKg/z6PCRz/pl6JjbLbiRz/eSyGcMfpOZWgYfXI2AQAAaCZHP3BiTdLxqfxzaCdokmgpXXI3AQAAKEdACT0ZHYEq6EdAEKozKEjmUkfAGofOTwcKNGV1fXI4AQAAKGgdXXI5AQAAfXI6AQAAKGggaJJoIksBdWFoI11yOwEAAChHP6662S9buDhHP9hhTa2H4w5HP+lCmNwva1NlaBh9cjwBAABoJkc/fKwIMSbpeXNoJ2iSaCldcj0BAAAoR8ALw3ssEh8fRz/gb3hcZNE5R8AX/VPZXb05ZXV9cj4BAAAoaB1dcj8BAAB9ckABAAAoaCBokmgiSwF1YWgjXXJBAQAAKEc/7hRSbQpEfUc/489ZKTwOeUc/yvWcj0JStmVoGH1yQgEAAGgmRz98rAgxJul5c2gnaJJoKV1yQwEAAChHQA6GncNAz2JHQCAWZ+phuRtHwBFmeFiUg0JldX1yRAEAAChoHV1yRQEAAH1yRgEAAChoIGiSaCJLAXVhaCNdckcBAAAoRz/h662S9buDRz++eslJ4HPJRz/mvWcj0JStZWgYfXJIAQAAaCZHP3ysCDEm6XlzaCdokmgpXXJJAQAAKEfAFLP9I3DPLUdAEytOe7SgVUfAENZCkNxzRWV1fXJKAQAAKGgdXXJLAQAAfXJMAQAAKGggaJJoIksBdWFoI11yTQEAAChHP9wopNoUiPlHP+wwptbD8YdHP9KFMbhe1qVlaBh9ck4BAABoJkc/fKwIMSbpeXNoJ2iSaCldck8BAAAoR0AWFY5vCCdRR0AOHuDJNtgOR8AYjYmhFc00ZXV9clABAAAoaB1dclEBAAB9clIBAAAoaCBokmgiSwF1YWgjXXJTAQAAKEc/4t2C8rkak0c/7G04LJc3wEc/6SQiZAMJy2VoGH1yVAEAAGgmRz+j987ZFocrc2gnaJJoKV1yVQEAAChHP/NlDFbr7iRHQBQt/Saz4ptHwCFZuha2p2hldX1yVgEAAChoHV1yVwEAAH1yWAEAAChoIGiSaCJLAXVhaCNdclkBAAAoRz/aRPoajcrZRz+8lj6bRkIERz/Lb3Zv89jVZWgYfXJaAQAAaCZHP6P3ztkWhytzaCdokmgpXXJbAQAAKEe/672OUR0bQEdADBmDczhTgUe/+sFgEhPGq2V1fXJcAQAAKGgdXXJdAQAAfXJeAQAAKGggaJJoIksBdWFoI11yXwEAAChHP7bsF5XI1JtHP+OSx9NoyEBHP+bb3Zv89jVlaBh9cmABAABoJkc/o/fO2RaHK3NoJ2iSaCldcmEBAAAoR7/mN0kiv7q4Rz/ohO20XuNsR8AbYj4dfhHnZXV9cmIBAAAoaB1dcmMBAAB9cmQBAAAoaCBokmgiSwF1YWgjXXJlAQAAKEc/7SJ9DUblbUc/2NpwWS5vf0c/0khEyAYTlWVoGH1yZgEAAGgmRz+j987ZFocrc2gnaJJoKV1yZwEAAChHP/Ch6b+9PeZHQB8qISnEL+9HwAwDHCjoXSRldWV1WAYAAAB0YXJnZXRyaAEAAEc/6tQsPJ7swHUuUEsHCOC5EiaiGgAAohoAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgAWAG1iLW1wLWdhcC0wMDA3OTAvYnl0ZW9yZGVyRkISAFpaWlpaWlpaWlpaWlpaWlpaWmxpdHRsZVBLBwiFPeMZBgAAAAYAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABgANABtYi1tcC1nYXAtMDAwNzkwL3ZlcnNpb25GQjAAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMwpQSwcI0Z5nVQIAAAACAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAnACkAbWItbXAtZ2FwLTAwMDc5MC8uZGF0YS9zZXJpYWxpemF0aW9uX2lkRkIlAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlowNjM2NDU3NzM3OTQ2NDAxMDUxMzAwMDAwMDEzNjU4MDAxMzQ0NDM2UEsHCEAk1aUoAAAAKAAAAFBLAQIAAAAACAgAAAAAAADguRImohoAAKIaAAAZAAAAAAAAAAAAAAAAAAAAAABtYi1tcC1nYXAtMDAwNzkwL2RhdGEucGtsUEsBAgAAAAAICAAAAAAAAIU94xkGAAAABgAAABoAAAAAAAAAAAAAAAAA8hoAAG1iLW1wLWdhcC0wMDA3OTAvYnl0ZW9yZGVyUEsBAgAAAAAICAAAAAAAANGeZ1UCAAAAAgAAABgAAAAAAAAAAAAAAAAAVhsAAG1iLW1wLWdhcC0wMDA3OTAvdmVyc2lvblBLAQIAAAAACAgAAAAAAABAJNWlKAAAACgAAAAnAAAAAAAAAAAAAAAAANIbAABtYi1tcC1nYXAtMDAwNzkwLy5kYXRhL3NlcmlhbGl6YXRpb25faWRQSwYGLAAAAAAAAAAeAy0AAAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAKgEAAAAAAAB4HAAAAAAAAFBLBgcAAAAAoh0AAAAAAAABAAAAUEsFBgAAAAAEAAQAKgEAAHgcAAAAAA==" | ./matbench_mp_gap/mb-mp-gap-000790 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-071797 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-039881 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-105767 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-032918 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-103261 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-050896 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-062445 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-097516 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-053149 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-012189 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-079103 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA1MTY3NC9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHwA7F3tsXPV5HAAAAAAAAAABHwA7F3tsXPV5lXXENKEdADsXe2xc9XkfADsXe2xc9XkeAAAAAAAAAAGVdcQ4oR8AOxd7bFz1eR8AOxd7bFz1eRwAAAAAAAAAAZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAFcJ+5HTZTlgBAAAAYnESR0AVwn7kdNlOWAEAAABjcRNHQBXCfuR02U5YBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdATf///////1gFAAAAZ2FtbWFxFkdAXgAAAAAAAVgGAAAAdm9sdW1lcRdHQFx1SVIV6Zp1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABMYXEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHgAAAAAAAAABHAAAAAAAAAABHAAAAAAAAAABlaBh9cSVYBgAAAG1hZ21vbXEmR4AAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAATGFxKFgDAAAAeHl6cSldcSooRwAAAAAAAAAARwAAAAAAAAAARwAAAAAAAAAAZXV9cSsoaB1dcSx9cS0oaCBYAgAAAENlcS5oIksBdWFoI11xLyhHP+AAAAAAAABHP+gAAAAAAABHP+gAAAAAAABlaBh9cTBoJkeAAAAAAAAAAHNoJ1gCAAAAQ2VxMWgpXXEyKEe//sXe2xc9XkfAFxRnJFFuBke//sXe2xc9XmV1fXEzKGgdXXE0fXE1KGggWAIAAABPc3E2aCJLAXVhaCNdcTcoRz/oA8YzKqTERz/YA8YzKqTERz/r+la4nmySZWgYfXE4aCZHv2BiTdLxqfxzaCdYAgAAAE9zcTloKV1xOihHwBM52rhNdMVHwBM52rhNdMVHwAcYCEq9QShldX1xOyhoHV1xPH1xPShoIGg2aCJLAXVhaCNdcT4oRz/P8OczVWzvRz/YA8YzKqTERz/YA8YzKqTEZWgYfXE/aCZHv1BiTdLxqfxzaCdYAgAAAE9zcUBoKV1xQShHv+63WkFn8NZHwAcYCEq9QShHv+63WkFn8NZldX1xQihoHV1xQ31xRChoIGg2aCJLAXVhaCNdcUUoRz/P8OczVWzvRz/r+la4nmySRz/YA8YzKqTEZWgYfXFGaCZHP1BiTdLxqfxzaCdYAgAAAE9zcUdoKV1xSChHP+63WlYOsLBHwBM52rhNdMVHv+63WkFn8NZldX1xSShoHV1xSn1xSyhoIGg2aCJLAXVhaCNdcUwoRz/oA8YzKqTERz/YA8YzKqTERz/YA8YzKqTEZWgYfXFNaCZHP2BiTdLxqfxzaCdYAgAAAE9zcU5oKV1xTyhHwAcYCEq9QShHwAcYCEq9QShHwAcYCEq9QShldWV1WAYAAAB0YXJnZXRxUEcAAAAAAAAAAHUuUEsHCHpJ4MIABQAAAAUAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgA4AG1iLW1wLWdhcC0wNTE2NzQvYnl0ZW9yZGVyRkI0AFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpsaXR0bGVQSwcIhT3jGQYAAAAGAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAYADQAbWItbXAtZ2FwLTA1MTY3NC92ZXJzaW9uRkIwAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjMKUEsHCNGeZ1UCAAAAAgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAJwApAG1iLW1wLWdhcC0wNTE2NzQvLmRhdGEvc2VyaWFsaXphdGlvbl9pZEZCJQBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMDYzNjQ1NzczNzk0NjQwMTA1MTMwMDAwMDAyNDcyNTY2Mjc1NzY4MVBLBwhB42qtKAAAACgAAABQSwECAAAAAAgIAAAAAAAAekngwgAFAAAABQAAGQAAAAAAAAAAAAAAAAAAAAAAbWItbXAtZ2FwLTA1MTY3NC9kYXRhLnBrbFBLAQIAAAAACAgAAAAAAACFPeMZBgAAAAYAAAAaAAAAAAAAAAAAAAAAAFAFAABtYi1tcC1nYXAtMDUxNjc0L2J5dGVvcmRlclBLAQIAAAAACAgAAAAAAADRnmdVAgAAAAIAAAAYAAAAAAAAAAAAAAAAANYFAABtYi1tcC1nYXAtMDUxNjc0L3ZlcnNpb25QSwECAAAAAAgIAAAAAAAAQeNqrSgAAAAoAAAAJwAAAAAAAAAAAAAAAABSBgAAbWItbXAtZ2FwLTA1MTY3NC8uZGF0YS9zZXJpYWxpemF0aW9uX2lkUEsGBiwAAAAAAAAAHgMtAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAACoBAAAAAAAA+AYAAAAAAABQSwYHAAAAACIIAAAAAAAAAQAAAFBLBQYAAAAABAAEACoBAAD4BgAAAAA=" | ./matbench_mp_gap/mb-mp-gap-051674 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-017759 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-004112 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-006588 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-045705 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-074322 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-076979 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-059956 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-033325 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-095743 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-060138 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-078631 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTAzMTA4NC9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQAeSCyko7jZHwBTGpRAaVGpHv8FfWgKq1StlXXENKEdAB5ILKSjuNkdAFMalEBpUakc/wV9aAqrVK2VdcQ4oR0AHkgspKO42Rz/7Xsa86FM7R0ATn9RhFcSNZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAF+RZMvQxLlgBAAAAYnESR0AX5Fky9DEuWAEAAABjcRNHQBfkWSqPLklYBQAAAGFscGhhcRRHQE2iS25YoTBYBAAAAGJldGFxFUdAVtlyIiqh3FgFAAAAZ2FtbWFxFkdAXjjZ4CqwNlgGAAAAdm9sdW1lcRdHQGKZO3oJDXF1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABMaXEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP76O62rHnxBHP9AAAAAAAABHP8C4ikqcMHhlaBh9cSVYBgAAAG1hZ21vbXEmR79QYk3S8an8c1gFAAAAbGFiZWxxJ1gCAAAATGlxKFgDAAAAeHl6cSldcSooRz/3kgspKO42Rz/s3OJbYtLXRz/lE2nPJm/CZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/7C4ikqcMHkc/6AAAAAAAAEc/69HdbVjz4mVoGH1xL2gmR79QYk3S8an8c2gnWAIAAABMaXEwaCldcTEoR0Addo3zcynDRz/p4KsebdOeR0AQ/WcnMPaVZXV9cTIoaB1dcTN9cTQoaCBYAQAAAFZxNWgiSwF1YWgjXXE2KEc/4AAAAAAAAEcAAAAAAAAAAEc/4AAAAAAAAGVoGH1xN2gmRz/wLQ5WBBiTc2gnaDVoKV1xOChHQAeSCyko7jZHv/vd5sHAfzZHQAMU2ZEAbeRldX1xOShoHV1xOn1xOyhoIGg1aCJLAXVhaCNdcTwoRwAAAAAAAAAARz/gAAAAAAAARz/gAAAAAAAAZWgYfXE9aCZHP/AxJul41P5zaCdoNWgpXXE+KEdAB5ILKSjuNkdAC55Wv1RpOUdABCrPMSsbNmV1fXE/KGgdXXFAfXFBKGggWAIAAABHYXFCaCJLAXVhaCNdcUMoRz/gAAAAAAAARwAAAAAAAAAARwAAAAAAAAAAZWgYfXFEaCZHP5N0vGp++dtzaCdYAgAAAEdhcUVoKV1xRihHP/eSCyko7jZHwATGpRAaVGpHv7FfWgKq1StldX1xRyhoHV1xSH1xSShoIGhCaCJLAXVhaCNdcUooRz/gAAAAAAAARz/gAAAAAAAARz/gAAAAAAAAZWgYfXFLaCZHP4qfvnbItDlzaCdYAgAAAEdhcUxoKV1xTShHQBGtiF7esqhHP+texrzoUztHQAOf1GEVxI1ldX1xTihoHV1xT31xUChoIFgBAAAAT3FRaCJLAXVhaCNdcVIoRz/StqHSoyWJRz+Z02JoKgrrRz/nc0xCzrGpZWgYfXFTaCZHv3iTdLxqfvpzaCdoUWgpXXFUKEdACMJpd3cUv0e/wSqnNeQa+EdADHjn9QqUFmV1fXFVKGgdXXFWfXFXKGggaFFoIksBdWFoI11xWChHP9CDzqwgBAFHP+DOmxNBUFdHP9EZZ3pinK1laBh9cVloJke/cGJN0vGp/HNoJ2hRaCldcVooR0AIwmfsBKDWRz/9hBYxZKEaRz/1jYF10yRSZXV9cVsoaB1dcVx9cV0oaCBoUWgiSwF1YWgjXXFeKEc/0G3dHXzoiUc/4Pjm4XX8MUc/5tAqj8uPi2VoGH1xX2gmR7+an752yLQ5c2gnaFFoKV1xYChHQBGtiF7esqhHQAUgy6wNTYxHQAxHKEjOc8BldX1xYShoHV1xYn1xYyhoIGhRaCJLAXVhaCNdcWQoRz/Qbd0dfOiJRz/vBxkeigPPRz/Rg/CaskhnZWgYfXFlaCZHv5mZmZmZmZpzaCdoUWgpXXFmKEdAEa2IXOSGj0dAEK8eubHB/kc/9wf3dfRrlGV1fXFnKGgdXXFofXFpKGggaFFoIksBdWFoI11xaihHP+fJEXFBi7xHP58c3C6/hhJHP+c+B7Km28xlaBh9cWtoJke/mZmZmZmZmnNoJ2hRaCldcWwoR0ARrYhg2N7CR8ADrtoU71pgR0ALu60HMVNPZXV9cW0oaB1dcW59cW8oaCBoUWgiSwF1YWgjXXFwKEc/58kRcUGLvEc/3g4yPRQHn0c/0l+q4Gjg6mVoGH1xcWgmR7+an752yLQ5c2gnaFFoKV1xcihHQBGtiF7esqhHv+3FoTZkj7pHP/XxAPK6KrRldX1xcyhoHV1xdH1xdShoIGhRaCJLAXVhaCNdcXYoRz/nvhip7/3/Rz/eYsnZfV9RRz/nc0xCzrGpZWgYfXF3aCZHv3BiTdLxqfxzaCdoUWgpXXF4KEdAFvncx7sU5ke/wSp7o+Ju6EdADHjoB0H28WV1fXF5KGgdXXF6fXF7KGggaFFoIksBdWFoI11xfChHP+akrxaubTtHP+8xZOy+r6lHP9EZZ3pinK1laBh9cX1oJke/eJN0vGp++nNoJ2hRaCldcX4oR0AW+dwCAdrxRz/9hBujpNacRz/1jYGaQeoIZXVldVgGAAAAdGFyZ2V0cX9HP/WQLeANG3J1LlBLBwjXZ0RRfwgAAH8IAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABoAOQBtYi1tcC1nYXAtMDMxMDg0L2J5dGVvcmRlckZCNQBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWmxpdHRsZVBLBwiFPeMZBgAAAAYAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABgANABtYi1tcC1nYXAtMDMxMDg0L3ZlcnNpb25GQjAAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMwpQSwcI0Z5nVQIAAAACAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAnACkAbWItbXAtZ2FwLTAzMTA4NC8uZGF0YS9zZXJpYWxpemF0aW9uX2lkRkIlAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlowNjM2NDU3NzM3OTQ2NDAxMDUxMzAwMDAwMDE2NjQ0NDkwOTA4NTgwUEsHCFnFBJIoAAAAKAAAAFBLAQIAAAAACAgAAAAAAADXZ0RRfwgAAH8IAAAZAAAAAAAAAAAAAAAAAAAAAABtYi1tcC1nYXAtMDMxMDg0L2RhdGEucGtsUEsBAgAAAAAICAAAAAAAAIU94xkGAAAABgAAABoAAAAAAAAAAAAAAAAAzwgAAG1iLW1wLWdhcC0wMzEwODQvYnl0ZW9yZGVyUEsBAgAAAAAICAAAAAAAANGeZ1UCAAAAAgAAABgAAAAAAAAAAAAAAAAAVgkAAG1iLW1wLWdhcC0wMzEwODQvdmVyc2lvblBLAQIAAAAACAgAAAAAAABZxQSSKAAAACgAAAAnAAAAAAAAAAAAAAAAANIJAABtYi1tcC1nYXAtMDMxMDg0Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRQSwYGLAAAAAAAAAAeAy0AAAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAKgEAAAAAAAB4CgAAAAAAAFBLBgcAAAAAogsAAAAAAAABAAAAUEsFBgAAAAAEAAQAKgEAAHgKAAAAAA==" | ./matbench_mp_gap/mb-mp-gap-031084 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-050198 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-054543 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-030843 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTAzMzAxMy9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHwCdAb7PCDtlHP5yd+ygp6rVHP5/0zHAwlJ1lXXENKEc/mObD7te5kEfAJAFiVV+t5ke/o+WfK6nR9mVdcQ4oR8AXYSLpZAc8Rz+uFTBo034XR0Anv7JpHlGlZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAJ0B5mDsjN1gBAAAAYnESR0AkAXAaOMZVWAEAAABjcRNHQCp4XLWLqTJYBQAAAGFscGhhcRRHQFag/16WqJpYBAAAAGJldGFxFUdAT9G2/0Sv1lgFAAAAZ2FtbWFxFkdAVpHEc4CGolgGAAAAdm9sdW1lcRdHQJWMFhwKg7x1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABCYXEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP+t1PjARardHP8VmH26wNupHP+kk70LuZyZlaBh9cSVYBgAAAG1hZ21vbXEmRz9gYk3S8an8c1gFAAAAbGFiZWxxJ1gCAAAAQmFxKFgDAAAAeHl6cSldcSooR8AtIOnYx1RZR7/5oi5mwOm3R0Ais47hFidGZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/7o7nlE5WJEc/6q4uBfe7uUc/4uj0xjsNR2VoGH1xL2gmRwAAAAAAAAAAc2gnWAIAAABCYXEwaCldcTEoR8AtEkjDKFmQR8AgjpNTA/FXR0AcDsYbBRZQZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/42e7izD2F0c/5VKQNZe8dUc/6Rk6Q3LGcWVoGH1xNmgmRz9QYk3S8an8c2gnWAIAAABCYXE3aCldcTgoR8AnPH8FXhBCR8AaaIFb129BR0AinOrUy6vsZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/5n1wyWvESUc/1X5HAsjdKUc/4utCiRGMGWVoGH1xPWgmR79QYk3S8an8c2gnWAIAAABCYXE+aCldcT8oR8AnPIbSwnT4R8AKcFbVNfBuR0AcHfNhjH6zZXV9cUAoaB1dcUF9cUIoaCBoIWgiSwF1YWgjXXFDKEc/7IhaceZ3Q0c/1VlGgsZDcUc/y1vQy7T0v2VoGH1xRGgmRz9QYk3S8an8c2gnWAIAAABCYXFFaCldcUYoR8AnNu9dP05IR8AKZLBjFP8wR0AEbFL2ly2FZXV9cUcoaB1dcUh9cUkoaCBoIWgiSwF1YWgjXXFKKEc/6WB8PDuai0c/5UT1iCzfskc/2j1tHeWZIWVoGH1xS2gmR79gYk3S8an8c2gnWAIAAABCYXFMaCldcU0oR8AnMx+cNiP6R8AaaK1F3WXpR0ATeDvUs1k/ZXV9cU4oaB1dcU99cVAoaCBoIWgiSwF1YWgjXXFRKEc/5Gm/kaXaRUc/6pGIiNAdukc/y4eWjMnScWVoGH1xUmgmRz9QYk3S8an8c2gnWAIAAABCYXFTaCldcVQoR8AhTma5jmpUR8AgjIKJFDQLR0AEVQ/2TiMoZXV9cVUoaB1dcVZ9cVcoaCBoIWgiSwF1YWgjXXFYKEc/1nocm+0F/Uc/xYhJpZBy1Ec/6SQWpYjmGGVoGH1xWWgmRwAAAAAAAAAAc2gnWAIAAABCYXFaaCldcVsoR8AhV4v8Zp2MR7/6BvFwhNA0R0Aiqs+NjEezZXV9cVwoaB1dcV19cV4oaCBoIWgiSwF1YWgjXXFfKEc/3Oqq7quZzEc/6qU+IqVxaUc/4ucNJQGXL2VoGH1xYGgmRwAAAAAAAAAAc2gnWAIAAABCYXFhaCldcWIoR8AhXs2/G/grR8AgkDG6OnD0R0Ab++l+rxXBZXV9cWMoaB1dcWR9cWUoaCBoIWgiSwF1YWgjXXFmKEc/4VvM+poPi0c/xWo3K2Vef0c/2jaMQ5q0d2VoGH1xZ2gmRz9QYk3S8an8c2gnWAIAAABCYXFoaCldcWkoR8AhZIvzwkeAR7/6JfUiv/sDR0ATfunnFctHZXV9cWooaB1dcWt9cWwoaCBoIWgiSwF1YWgjXXFtKEc/5/iTDrsDzUc/38eEQ0Yl1Ec/UAYc+oyjkmVoGH1xbmgmRz9QYk3S8an8c2gnWAIAAABCYXFvaCldcXAoR8AhZ60T3Bz9R8ATyJOlQlUeRz+QEhE+0VwxZXV9cXEoaB1dcXJ9cXMoaCBoIWgiSwF1YWgjXXF0KEc/vR51i/M90Ec/5U2kQurhNUc/6Rwci3v0mGVoGH1xdWgmRwAAAAAAAAAAc2gnWAIAAABCYXF2aCldcXcoR8AXkfsHVNH0R8AacG3XpRNER0AilzKaoOHpZXV9cXgoaB1dcXl9cXooaCBoIWgiSwF1YWgjXXF7KEc/2Ve2oDqdi0c/1WxaRkeNB0c/y782jC4hJmVoGH1xfGgmR79QYk3S8an8c2gnWAIAAABCYXF9aCldcX4oR8AXcyeMHEwkR8AKmIvH0YxhR0AEllHtoAWrZXV9cX8oaB1dcYB9cYEoaCBoIWgiSwF1YWgjXXGCKEc/yohPGW26Q0c/1VkcZmgT5kc/4uKRHyGuUWVoGH1xg2gmR79QYk3S8an8c2gnWAIAAABCYXGEaCldcYUoR8AXZ5BXqZXWR8AKXlt/KpAQR0AcAU1+ZKgwZXV9cYYoaB1dcYd9cYgoaCBoIWgiSwF1YWgjXXGJKEc/0zm6IHfEs0c/5VObuNikG0c/2hErFdhZc2VoGH1ximgmRz9QYk3S8an8c2gnWAIAAABCYXGLaCldcYwoR8AXbVeQ2pZCR8AaiUDhGrHKR0ATR5Lr7EplZXV9cY0oaB1dcY59cY8oaCBoIWgiSwF1YWgjXXGQKEc/3/q1HS24Skc/7+NgyBbajUc/Q/fEHE8WE2VoGH1xkWgmRwAAAAAAAAAAc2gnWAIAAABCYXGSaCldcZMoR8AXJ2xm0G4zR8Aj6FKUP+WkR7+QRws8OjlgZXV9cZQoaB1dcZV9cZYoaCBoIWgiSwF1YWgjXXGXKEc/wtW8iopdEUc/6rJhAKDkvUc/y1mmefzGOmVoGH1xmGgmRz9QYk3S8an8c2gnWAIAAABCYXGZaCldcZooR8AHg7q+wcXUR8AgqBuyrxIQR0AEE0jkkvDYZXV9cZsoaB1dcZx9cZ0oaCBoIWgiSwF1YWgjXXGeKEc/qFqmlKnFt0c/xTDlUCZeDkc/2kKIJVL1xmVoGH1xn2gmR79gYk3S8an8c2gnWAIAAABCYXGgaCldcaEoR8AHk9Xx9rcRR7/6FsL/kR44R0ATeA/2EYI4ZXV9caIoaB1dcaN9caQoaCBoIWgiSwF1YWgjXXGlKEc/z+2ppqz9ekc/4B53Tuv2Xkc/7/bYhDsNnWVoGH1xpmgmRz9QYk3S8an8c2gnWAIAAABCYXGnaCldcagoR8Ahc7sBhECwR8AT5D2Kyjd/R0Anst2/+owRZXV9cakoaB1dcap9casoaCBoIWgiSwF1YWgjXXGsKEc/XP/AFCyyu0c/cJSwJc0ZI0e+7LBk4izbVWVoGH1xrWgmRz9QYk3S8an8c2gnWAIAAABCYXGuaCldca8oR7+U43K9h7YGR7+ktOqdM9DSR78xVeKWduagZXV9cbAoaB1dcbF9cbIoaCBYAQAAAFZxs2giSwF1YWgjXXG0KEc/6TvENns8Nkc/6vwNRxBfykc/7I8HyqSpbWVoGH1xtWgmRz/whysCDEm6c2gnaLNoKV1xtihHwCy6A/wCQURHwCC4kajguJhHQCUttLc6XsFldX1xtyhoHV1xuH1xuShoIGizaCJLAXVhaCNdcbooRz/sy5oiKqJARz/gJFsueeX1Rz/m+ki2UjcEZWgYfXG7aCZHP/CHKwIMSbpzaCdos2gpXXG8KEfALUrcqwqhvUfAE+njbnV/JUdAIRHhmP+oGmV1fXG9KGgdXXG+fXG/KGggaLNoIksBdWFoI11xwChHP+I5bPOeR9RHP9YCgmZMOkBHP+ykWgHUFZZlaBh9ccFoJkc/8ItDlYEGJXNoJ2izaCldccIoR8AnsDmwwjKmR8AK+L3OVsEcR0AlQ/cqVJhqZXV9ccMoaB1dccR9ccUoaCBos2giSwF1YWgjXXHGKEc/7sIY+cwJWEc/5QehxQw5Hkc/u9wGUKcMdGVoGH1xx2gmRz/wZmZmZmZmc2gnaLNoKV1xyChHwCeW7jE1bWRHwBopThG1TeRHP/S/SvutRvRldX1xyShoHV1xyn1xyyhoIGizaCJLAXVhaCNdccwoRz/rNjSlIzqYRz/v6LJQyp3IRz/SKibwA96HZWgYfXHNaCZHP/BWBBiTdLxzaCdos2gpXXHOKEfAJwqy0QMYG0fAI94cHTcNQ0dACt02iySFZmV1fXHPKGgdXXHQfXHRKGggaLNoIksBdWFoI11x0ihHP+Q5L+ysvAtHP3pNAugRzLFHP+bu2/CsJQxlaBh9cdNoJkc/8F41P3ztkXNoJ2izaCldcdQoR8AnEmSE3nPSR79yQ96mtgkIR0AhDwf6rOjmZXV9cdUoaB1dcdZ9cdcoaCBos2giSwF1YWgjXXHYKEc/595ajmvpB0c/7/Ttzc5UjEc/4ABTZ1st+WVoGH1x2WgmR7/sm6XjU/fPc2gnaLNoKV1x2ihHwCcj2TuzqndHwCPgv2INyndHQBewRrrFtQhldX1x2yhoHV1x3H1x3ShoIGizaCJLAXVhaCNdcd4oRz/S4B8EUh8yRz/qmZmJfm5wRz/s+ybyiB1FZWgYfXHfaCZHP/187ZFocrBzaCdos2gpXXHgKEfAIWdxKJXwSEfAIIGviDQPKEdAJXZM8T2rHmV1fXHhKGgdXXHifXHjKGggaLNoIksBdWFoI11x5ChHP+alDkHiIp9HP8VGDhbEEb1HP7cwcrmF8x9laBh9ceVoJkc//Y1P3ztkWnNoJ2izaCldceYoR8AhgT0S7LiXR7/6MpsVd6IQRz/xdbzw4HAUZXV9cecoaB1dceh9cekoaCBos2giSwF1YWgjXXHqKEc/44EltMVvCkc/3/PmFknuYUc/0c0dCXso62VoGH1x62gmRz/w4UeuFHrhc2gnaLNoKV1x7ChHwCFmP6c6cixHwBPXpDzYXIhHQAprWTj3K+JldX1x7ShoHV1x7n1x7yhoIGizaCJLAXVhaCNdcfAoRz/gBtOT5lFYRz/f+dh+W9CLRz/gAsVXN59UZWgYfXHxaCZHP+/O2RaHKwJzaCdos2gpXXHyKEfAIXhBBvvCakfAE9EZ4bK6DkdAF7/utP/1QWV1fXHzKGgdXXH0fXH1KGggaLNoIksBdWFoI11x9ihHP9kLHiD9UKNHP9/pAwOVi8NHP+cfiejMh65laBh9cfdoJkc/8Qo9cKPXCnNoJ2izaCldcfgoR8AhhW5pQ0OTR8ATvFbIZeF8R0AhJYU2WZ/iZXV9cfkoaB1dcfp9cfsoaCBos2giSwF1YWgjXXH8KEc/qV8LfjhqKkc/1TsDYTN2pUc/7Pv+ItshTmVoGH1x/WgmRz/9aHKwIMScc2gnaLNoKV1x/ihHwBdyxFFwQ6RHwAobxpkh++tHQCV88Vcy+I5ldX1x/yhoHV1yAAEAAH1yAQEAAChoIGizaCJLAXVhaCNdcgIBAAAoRz/czAQaQPPmRz/lbjqbMXRBRz+4r0kuRzsoZWgYfXIDAQAAaCZHP/141P3ztkZzaCdos2gpXXIEAQAAKEfAFx0PpL/RsEfAGrj2WKGtgEc/8iDGg42uf2V1fXIFAQAAKGgdXXIGAQAAfXIHAQAAKGggaLNoIksBdWFoI11yCAEAAChHP9eFWxN3AD1HP3R3a3FoIihHP9HGTu7QgrplaBh9cgkBAABoJkc/8NkWhysCDHNoJ2izaCldcgoBAAAoR8AXlVUMKRgXR7+X9ADJK/d3R0AKeR5JuCj7ZXV9cgsBAAAoaB1dcgwBAAB9cg0BAAAoaCBos2giSwF1YWgjXXIOAQAAKEc/z8jEv+MEckc/VfKQVc4SyEc/3/AENG0aCmVoGH1yDwEAAGgmRz/vjU/fO2Rac2gnaLNoKV1yEAEAAChHwBc22R5INFFHP5dowjH6rNBHQBe7t3JnLuBldX1yEQEAAChoHV1yEgEAAH1yEwEAAChoIGizaCJLAXVhaCNdchQBAAAoRz/BspSSSMJnRz/v7HuuohRnRz/nF/FouHsxZWgYfXIVAQAAaCZHP/EvGp++dslzaCdos2gpXXIWAQAAKEfAFzR2kYkBpEfAI91+mU7+VUdAIRHpPP7wGGV1fXIXAQAAKGgdXXIYAQAAfXIZAQAAKGggaLNoIksBdWFoI11yGgEAAChHP8cpkAbIxwRHP8QV/UJgd7pHP7v2ot8Sn5VlaBh9chsBAABoJkc/8EGJN0vGqHNoJ2izaCldchwBAAAoR8AF6Dyfu+NwR7/47jjwE6kMRz/0vvApYJsaZXV9ch0BAAAoaB1dch4BAAB9ch8BAAAoaCBos2giSwF1YWgjXXIgAQAAKEc/a99JfB/hHEc/3/EExTarY0c/4AqTTCKYW2VoGH1yIQEAAGgmR7/sKPXCj1wpc2gnaLNoKV1yIgEAAChHwAeovjIqadpHwBPZwqsrL5FHQBe7pGHghDVldX1yIwEAAChoHV1yJAEAAH1yJQEAAChoIGizaCJLAXVhaCNdciYBAAAoRz+9Xr0kuRztRz/f55gJ93qgRz/SOzDYj/mIZWgYfXInAQAAaCZHP/BqfvnbItFzaCdos2gpXXIoAQAAKEfAB+SsnsN3iEfAE920QIkRn0dACu8sUV5VF2V1fXIpAQAAKGgdXXIqAQAAfXIrAQAAKGggWAEAAABPciwBAABoIksBdWFoI11yLQEAAChHP+8cH1rkJzFHP9reHZeViGhHP+mWM8Om3lFlaBh9ci4BAABoJke/qyLQ5WBBiXNoJ2osAQAAaCldci8BAAAoR8Av7nGAbTcWR8AQgA5KYR9ER0AjBGqoj3kIZXV9cjABAAAoaB1dcjEBAAB9cjIBAAAoaCBqLAEAAGgiSwF1YWgjXXIzAQAAKEc/7tR/OJpQTkc/7Py6WwU0R0c/6jgZ8m9zq2VoGH1yNAEAAGgmR7+gYk3S8an8c2gnaiwBAABoKV1yNQEAAChHwC/vfWppet5HwCH4xmtK2flHQCNywnolRwdldX1yNgEAAChoHV1yNwEAAH1yOAEAAChoIGosAQAAaCJLAXVhaCNdcjkBAAAoRz/ugbFQRJD/Rz/WVabQjs46Rz/jJSWj/ndqZWgYfXI6AQAAaCZHP3iTdLxqfvpzaCdqLAEAAGgpXXI7AQAAKEfALSS1Q7l+cEfAC25w8p7YokdAHHta7JwldWV1fXI8AQAAKGgdXXI9AQAAfXI+AQAAKGggaiwBAABoIksBdWFoI11yPwEAAChHP+s+fYQPQ8BHP+VkHM/vbAlHP+nYD9a3sjNlaBh9ckABAABoJkc/fKwIMSbpeXNoJ2osAQAAaCldckEBAAAoR8AtNFLh4bheR8Aadgk3U+g4R0AjLmqhvFbxZXV9ckIBAAAoaB1dckMBAAB9ckQBAAAoaCBqLAEAAGgiSwF1YWgjXXJFAQAAKEc/6tXsi4QCLkc/4nkYuuHovkc/43ArJh53umVoGH1yRgEAAGgmR7+Yk3S8an76c2gnaiwBAABoKV1yRwEAAChHwCqSa6K3Vc1HwBbcbElVGERHQBzd9Wbmy2hldX1ySAEAAChoHV1ySQEAAH1ySgEAAChoIGosAQAAaCJLAXVhaCNdcksBAAAoRz/uVTyYC8/tRz/a7stEjHbxRz/Y7pRdRKmoZWgYfXJMAQAAaCZHv5ysCDEm6XlzaCdqLAEAAGgpXXJNAQAAKEfAKpLk1iGQ1kfAEKPYwbHxtUdAEo5hPHo+Y2V1fXJOAQAAKGgdXXJPAQAAfXJQAQAAKGggaiwBAABoIksBdWFoI11yUQEAAChHP+c+Yyz2AlBHP+1a2fYAIeRHP+mJNhRkECBlaBh9clIBAABoJkc/mJN0vGp++nNoJ2osAQAAaCldclMBAAAoR8AqLEqa2dLYR8AiN6cOFhKnR0Ai7PLDHwmkZXV9clQBAAAoaB1dclUBAAB9clYBAAAoaCBqLAEAAGgiSwF1YWgjXXJXAQAAKEc/5zv+MvZMeEc/2sXV1+NWUUc/6Yqppy3W02VoGH1yWAEAAGgmR794k3S8an76c2gnaiwBAABoKV1yWQEAAChHwCoxS38Z1iJHwBB4ARZqVPNHQCL38yAccRBldX1yWgEAAChoHV1yWwEAAH1yXAEAAChoIGosAQAAaCJLAXVhaCNdcl0BAAAoRz/tMc2SmnbkRz/tfBSOAYrwRz/Y+NRHanfDZWgYfXJeAQAAaCZHv5qfvnbItDlzaCdqLAEAAGgpXXJfAQAAKEfAKbrF8rXTXEfAIlYIkVVd3EdAEoDuGEzABWV1fXJgAQAAKGgdXXJhAQAAfXJiAQAAKGggaiwBAABoIksBdWFoI11yYwEAAChHP+mlLoL1PVlHP7Pyisx3PHdHP+OKH3NizitlaBh9cmQBAABoJke/oGJN0vGp/HNoJ2osAQAAaCldcmUBAAAoR8ApxLBB22aKR7/nE4dCDrikR0AdFypZYIB1ZXV9cmYBAAAoaB1dcmcBAAB9cmgBAAAoaCBqLAEAAGgiSwF1YWgjXXJpAQAAKEc/7MxI3kA8sUc/6lz6Nr1WYkc/x7r+LcLb3WVoGH1yagEAAGgmR7+WhysCDEm6c2gnaiwBAABoKV1yawEAAChHwCcNXXgTc3tHwCBozBXa5jNHQAGUggBXVNJldX1ybAEAAChoHV1ybQEAAH1ybgEAAChoIGosAQAAaCJLAXVhaCNdcm8BAAAoRz/ixuUcI/gCRz/GS18Og1CCRz/qA+ThlohtZWgYfXJwAQAAaCZHv4R64UeuFHtzaCdqLAEAAGgpXXJxAQAAKEfAJyN7MQ7Bm0e/+tlSmhmYj0dAI1SNxfXPT2V1fXJyAQAAKGgdXXJzAQAAfXJ0AQAAKGggaiwBAABoIksBdWFoI11ydQEAAChHP+mFv3zYF9pHP8MkNSkBq/1HP9mi7reuLKRlaBh9cnYBAABoJkc/gm6XjU/fO3NoJ2osAQAAaCldcncBAAAoR8AnOGTtyKMBR7/3MzdUML9tR0ATGjhm1hFTZXV9cngBAAAoaB1dcnkBAAB9cnoBAAAoaCBqLAEAAGgiSwF1YWgjXXJ7AQAAKEc/5k1veeBru0c/6zXhzryRFUc/4yfLRbkcwmVoGH1yfAEAAGgmRz+Ik3S8an76c2gnaiwBAABoKV1yfQEAAChHwCcpWlb0ZvJHwCDm34H2p9VHQBxjI/o+GvdldX1yfgEAAChoHV1yfwEAAH1ygAEAAChoIGosAQAAaCJLAXVhaCNdcoEBAAAoRz/l8UiHg0GTRz/tcdkLSYo4Rz/ZTLkg82qbZWgYfXKCAQAAaCZHv2BiTdLxqfxzaCdqLAEAAGgpXXKDAQAAKEfAJIUivLgDCkfAIlK5oDkGQUdAErf/5Kz9HWV1fXKEAQAAKGgdXXKFAQAAfXKGAQAAKGggaiwBAABoIksBdWFoI11yhwEAAChHP+KLq18+1NJHP7RIjQyYacRHP+Nc4q8MR4xlaBh9cogBAABoJke/YGJN0vGp/HNoJ2osAQAAaCldcokBAAAoR8Aki4ODU10XR7/ntITu2GRlR0AczOCbwIhhZXV9cooBAAAoaB1dcosBAAB9cowBAAAoaCBqLAEAAGgiSwF1YWgjXXKNAQAAKEc/6N5kr4IOOEc/4tLvS1Hi90c/yB4mxxQmKGVoGH1yjgEAAGgmRz+EeuFHrhR7c2gnaiwBAABoKV1yjwEAAChHwCQ+dS/NrgpHwBdnuIDOkq1HQAHpAGj13L5ldX1ykAEAAChoHV1ykQEAAH1ykgEAAChoIGosAQAAaCJLAXVhaCNdcpMBAAAoRz/duUNi1jkHRz/aQ2y8QON1Rz/qC3eyvwSNZWgYfXKUAQAAaCZHP5BiTdLxqfxzaCdqLAEAAGgpXXKVAQAAKEfAJEsL+LAuHEfAEC0EWrn+DUdAI1OFKF2iu2V1fXKWAQAAKGgdXXKXAQAAfXKYAQAAKGggaiwBAABoIksBdWFoI11ymQEAAChHP+v+6IM2q7lHP9AggJOOPMRHP+/4SdiRJi5laBh9cpoBAABoJke/qJN0vGp++nNoJ2osAQAAaCldcpsBAAAoR8AwARnj7ZBjR8ADf7uX1L3KR0AnwvBV3LQMZXV9cpwBAAAoaB1dcp0BAAB9cp4BAAAoaCBqLAEAAGgiSwF1YWgjXXKfAQAAKEc/6PPZoUaMK0c/tALyzpQiNkc/yc84d2rFnGVoGH1yoAEAAGgmR7+uuFHrhR64c2gnaiwBAABoKV1yoQEAAChHwCR78y0DVKxHv+fx2MkUATpHQANTKuMcSSxldX1yogEAAChoHV1yowEAAH1ypAEAAChoIGosAQAAaCJLAXVhaCNdcqUBAAAoRz/eqtQUE94uRz/tdcocGGR7Rz/pl5oKra35ZWgYfXKmAQAAaCZHv7Cj1wo9cKRzaCdqLAEAAGgpXXKnAQAAKEfAJHIhQ5h5ZEfAIkv6PHyVOkdAIvOc9vrlxWV1fXKoAQAAKGgdXXKpAQAAfXKqAQAAKGggaiwBAABoIksBdWFoI11yqwEAAChHP+U/o26EmABHP9s55ww+JtdHP9lwrATWKJZlaBh9cqwBAABoJke/nbItDlYEGXNoJ2osAQAAaCldcq0BAAAoR8AkEMg06GvvR8AQ2nLRI+FxR0AS5axw3VKAZXV9cq4BAAAoaB1dcq8BAAB9crABAAAoaCBqLAEAAGgiSwF1YWgjXXKxAQAAKEc/4gMRopS/60c/4lo14ThpqUc/42cSAov2bmVoGH1ysgEAAGgmR794k3S8an76c2gnaiwBAABoKV1yswEAAChHwCQl0vUXf9JHwBa9wze/ZJlHQBzHyuampwJldX1ytAEAAChoHV1ytQEAAH1ytgEAAChoIGosAQAAaCJLAXVhaCNdcrcBAAAoRz/hw/TMcDCVRz/kukySKeOpRz/Y7rDCgBe9ZWgYfXK4AQAAaCZHv5ul41P3ztlzaCdqLAEAAGgpXXK5AQAAKEfAIW5cuCLjtEfAGcNXTA7ZuUdAEnjhxbnIhmV1fXK6AQAAKGgdXXK7AQAAfXK8AQAAKGggaiwBAABoIksBdWFoI11yvQEAAChHP9yH4dZ0QG9HP9Z4FPoNIdJHP+OGSsJw/kVlaBh9cr4BAABoJke/mJN0vGp++nNoJ2osAQAAaCldcr8BAAAoR8AhexTeV3rFR8ALtRzCDIoeR0Ac+z61P668ZXV9csABAAAoaB1dcsEBAAB9csIBAAAoaCBqLAEAAGgiSwF1YWgjXXLDAQAAKEc/5OODyHb8t0c/1YybDjjS2kc/yVX/pmjf6GVoGH1yxAEAAGgmR7+sKPXCj1wpc2gnaiwBAABoKV1yxQEAAChHwCF5vHXP0OZHwAq0cT44Lu1HQALcgnwGDhNldX1yxgEAAChoHV1yxwEAAH1yyAEAAChoIGosAQAAaCJLAXVhaCNdcskBAAAoRz/oEQibr/RPRz/v1qmlKnFuRz9oJx38FGMOZWgYfXLKAQAAaCZHv4qfvnbItDlzaCdqLAEAAGgpXXLLAQAAKEfAIXkjrhlbo0fAI9yxAjcqGEc/lEpgz1AlMGV1fXLMAQAAKGgdXXLNAQAAfXLOAQAAKGggaiwBAABoIksBdWFoI11yzwEAAChHP9Zk3qbp5DVHP+UWTc+Wq6lHP+meGRquLCNlaBh9ctABAABoJke/qhysCDEm6XNoJ2osAQAAaCldctEBAAAoR8AhdkovowDKR8AaI4Z8qISXR0Ai+5M33KqYZXV9ctIBAAAoaB1dctMBAAB9ctQBAAAoaCBqLAEAAGgiSwF1YWgjXXLVAQAAKEc/1b5+CkcAxUc/4mpkbRH8LEc/4zi26zkehWVoGH1y1gEAAGgmR7+gYk3S8an8c2gnaiwBAABoKV1y1wEAAChHwB3Jez2aSdBHwBbYuI0wHpNHQBx7xx6GFtFldX1y2AEAAChoHV1y2QEAAH1y2gEAAChoIGosAQAAaCJLAXVhaCNdctsBAAAoRz/cMfmCDIonRz/bHy8lBp+sRz/ZOJ+Oey1zZWgYfXLcAQAAaCZHv4Jul41P3ztzaCdqLAEAAGgpXXLdAQAAKEfAHajFIogflEfAENBYiS0azkdAErUAL/fWe2V1fXLeAQAAKGgdXXLfAQAAfXLgAQAAKGggaiwBAABoIksBdWFoI11y4QEAAChHP+DHMpQm6PhHP7WXWU15L5dHP8ktRYh1WfRlaBh9cuIBAABoJke/qRaHKwIMSnNoJ2osAQAAaCldcuMBAAAoR8Ac+Q6l/JLXR7/qKFhKqkrFR0ACyijQBIXcZXV9cuQBAAAoaB1dcuUBAAB9cuYBAAAoaCBqLAEAAGgiSwF1YWgjXXLnAQAAKEc/zJeX9y0dmkc/7UpAkJPhdEc/6csh51tuZmVoGH1y6AEAAGgmR7+Kn752yLQ5c2gnaiwBAABoKV1y6QEAAChHwB0kxXOUyDhHwCI0OvAqyndHQCMV4A6if+9ldX1y6gEAAChoHV1y6wEAAH1y7AEAAChoIGosAQAAaCJLAXVhaCNdcu0BAAAoRz/knKKoYQetRz/oKkht1/TJRz/vzAv842r0ZWgYfXLuAQAAaCZHv6mZmZmZmZpzaCdqLAEAAGgpXXLvAQAAKEfAKo5GDcNVFkfAHei6LqtcM0dAJ5RoAMm2qWV1fXLwAQAAKGgdXXLxAQAAfXLyAQAAKGggaiwBAABoIksBdWFoI11y8wEAAChHP+O5V3SxAetHP9AOoIx8+35HP+/l5NaD2sFlaBh9cvQBAABoJke/dHrhR64Ue3NoJ2osAQAAaCldcvUBAAAoR8Ap+NbF5ifJR8ADeHKY9DSuR0AnsS3DrHbjZXV9cvYBAAAoaB1dcvcBAAB9cvgBAAAoaCBqLAEAAGgiSwF1YWgjXXL5AQAAKEc/4OQJWcXvDUc/4rTaAb6cCEc/yJLW3MYUIWVoGH1y+gEAAGgmRz+CbpeNT987c2gnaiwBAABoKV1y+wEAAChHwBz6TY6dD9JHwBdJBuRLpIFHQAIv9a9RtMpldX1y/AEAAChoHV1y/QEAAH1y/gEAAChoIGosAQAAaCJLAXVhaCNdcv8BAAAoRz/MDYNLTof4Rz/alY4xsX3nRz/p0wayzJt6ZWgYfXIAAgAAaCZHv5FocrAgxJxzaCdqLAEAAGgpXXIBAgAAKEfAHQTSYcr8iUfAEGfLyG+SvUdAIyWdCeGEomV1fXICAgAAKGgdXXIDAgAAfXIEAgAAKGggaiwBAABoIksBdWFoI11yBQIAAChHP9qjNqZaR0lHP+2QKY4Y3PFHP9kZHLGRh/1laBh9cgYCAABoJke/eJN0vGp++nNoJ2osAQAAaCldcgcCAAAoR8Acbw9weJn7R8AiaaCpZCSfR0ASiO/sEVReZXV9cggCAAAoaB1dcgkCAAB9cgoCAAAoaCBqLAEAAGgiSwF1YWgjXXILAgAAKEc/08c4jjvtbEc/sxwXN9UDfUc/4zzWOgjlV2VoGH1yDAIAAGgmR7+fvnbItDlYc2gnaiwBAABoKV1yDQIAAChHwBxrR6V8wutHv+Z8qALZnCdHQByU2GaXga9ldX1yDgIAAChoHV1yDwIAAH1yEAIAAChoIGosAQAAaCJLAXVhaCNdchECAAAoRz/Zv040FYZPRz/qqlveow4NRz/IwtitKsX8ZWgYfXISAgAAaCZHv5iTdLxqfvpzaCdqLAEAAGgpXXITAgAAKEfAFyZl+ak4VkfAIKANSn5zUkdAAjfFGJ8K/WV1fXIUAgAAKGgdXXIVAgAAfXIWAgAAKGggaiwBAABoIksBdWFoI11yFwIAAChHP9/IGSkb2CNHP98bx3FDOTtHP+/jJlV/OG9laBh9chgCAABoJke/qp++dsi0OXNoJ2osAQAAaCldchkCAAAoR8AnK+LDGUOsR8ATKIr8AcC5R0AnqIyE17gDZXV9choCAAAoaB1dchsCAAB9chwCAAAoaCBqLAEAAGgiSwF1YWgjXXIdAgAAKEc/03BbknfnQkc/w5nBh59GLEc/2TmyiP7BvGVoGH1yHgIAAGgmR79ok3S8an76c2gnaiwBAABoKV1yHwIAAChHwBdTG5dAqrFHv/gARD51l+5HQBK8MiZbTThldX1yIAIAAChoHV1yIQIAAH1yIgIAAChoIGosAQAAaCJLAXVhaCNdciMCAAAoRz/Im83RWaRhRz/rP4fKjy/eRz/jjMNXgx6uZWgYfXIkAgAAaCZHv5++dsi0OVhzaCdqLAEAAGgpXXIlAgAAKEfAFyQU/kOVnEfAIPPBcs+9r0dAHOjVdqxSe2V1fXImAgAAKGgdXXInAgAAfXIoAgAAKGggaiwBAABoIksBdWFoI11yKQIAAChHP7klX+DmNFJHP8QXsg3ZsmNHP+mkZxKIw7NlaBh9cioCAABoJke/rKwIMSbpeXNoJ2osAQAAaCldcisCAAAoR8AXSXeY0G1DR7/4U0RB/K/5R0AjBjiMm1LRZXV9ciwCAAAoaB1dci0CAAB9ci4CAAAoaCBqLAEAAGgiSwF1YWgjXXIvAgAAKEc/yHaPk9xAXUc/7auXgxPxJEc/2VsnzqYV1GVoGH1yMAIAAGgmR7+ibpeNT987c2gnaiwBAABoKV1yMQIAAChHwBIPZH3s8XFHwCJ94Asm71xHQBKyn/1U7t1ldX1yMgIAAChoHV1yMwIAAH1yNAIAAChoIGosAQAAaCJLAXVhaCNdcjUCAAAoRz+0X6RVX1f/Rz+ySHQNGBZ3Rz/jdHKeAjQNZWgYfXI2AgAAaCZHv2iTdLxqfvpzaCdqLAEAAGgpXXI3AgAAKEfAEehqcbZASke/5aVM2yc2L0dAHOAvTWvflmV1fXI4AgAAKGgdXXI5AgAAfXI6AgAAKGggaiwBAABoIksBdWFoI11yOwIAAChHP9FBrpZV7UdHP+KA+6iCaqlHP8mRBgy0blxlaBh9cjwCAABoJke/rrhR64UeuHNoJ2osAQAAaCldcj0CAAAoR8ARJwTe5m/NR8AXDxiUIcSZR0AC3JqyIuGBZXV9cj4CAAAoaB1dcj8CAAB9ckACAAAoaCBqLAEAAGgiSwF1YWgjXXJBAgAAKEc/2CQoaNTVsEc/5/waR6nivUc/7+hELFTHrWVoGH1yQgIAAGgmR7+i8an752yLc2gnaiwBAABoKV1yQwIAAChHwCRj3bpUHoRHwB22atkAIc5HQCelMl3SVT1ldX1yRAIAAChoHV1yRQIAAH1yRgIAAChoIGosAQAAaCJLAXVhaCNdckcCAAAoRz/R2a/p6BCgRz+16wPveMk/Rz/In9rRR1rdZWgYfXJIAgAAaCZHP4Jul41P3ztzaCdqLAEAAGgpXXJJAgAAKEfAEXWvgdIQoEe/6ss3OpohkEdAAlFruku6QmV1fXJKAgAAKGgdXXJLAgAAfXJMAgAAKGggaiwBAABoIksBdWFoI11yTQIAAChHP7DMmiH/ryJHP+KEv4e/0mhHP+NT5huoUhllaBh9ck4CAABoJke/dHrhR64Ue3NoJ2osAQAAaCldck8CAAAoR8ARHchYiTgsR8AXAVHer6m5R0Acmz1GfoOaZXV9clACAAAoaB1dclECAAB9clICAAAoaCBqLAEAAGgiSwF1YWgjXXJTAgAAKEc/xaJhE2tBwkc/2vvvJDqc30c/2UVD4aws72VoGH1yVAIAAGgmR79QYk3S8an8c2gnaiwBAABoKV1yVQIAAChHwBEM4mm0Z95HwBDCCF16s69HQBK1ypgnkWJldX1yVgIAAChoHV1yVwIAAH1yWAIAAChoIGosAQAAaCJLAXVhaCNdclkCAAAoRz+rBnCyb6lbRz/kz28eReY+Rz/ZkGWImu6uZWgYfXJaAgAAaCZHP3iTdLxqfvpzaCdqLAEAAGgpXXJbAgAAKEfAB3XCVGYfs0fAGeuMxNgsgUdAEuC8MzQGt2V1fXJcAgAAKGgdXXJdAgAAfXJeAgAAKGggaiwBAABoIksBdWFoI11yXwIAAChHP8VL9iKxhcpHP9TD6uZoVFJHP8eOm2PJKChlaBh9cmACAABoJke/k3S8an7523NoJ2osAQAAaCldcmECAAAoR8AIBFNR5ONyR8AJ1wZk+7QyR0ABbG3NGjlQZXV9cmICAAAoaB1dcmMCAAB9cmQCAAAoaCBqLAEAAGgiSwF1YWgjXXJlAgAAKEc/0E+oqgLIXEc/mBwSBGRotUc/Z+0cIqBo7GVoGH1yZgIAAGgmR7+mBBiTdLxqc2gnaiwBAABoKV1yZwIAAChHwAfV/OJiJJJHv802KUPNK0lHP6VcUEJJTGNldX1yaAIAAChoHV1yaQIAAH1yagIAAChoIGosAQAAaCJLAXVhaCNdcmsCAAAoRz+YQgdhczeFRz+0ibUgB91ERz/Jr7zcE+eTZWgYfXJsAgAAaCZHAAAAAAAAAABzaCdqLAEAAGgpXXJtAgAAKEe/9yReSZHAyUe/6UflzTwZaUdAAwtQ6l84E2V1fXJuAgAAKGgdXXJvAgAAfXJwAgAAKGggaiwBAABoIksBdWFoI11ycQIAAChHP79dKabCdwhHP+gT6Go3K2VHP2MBb0DViDJlaBh9cnICAABoJkc/dHrhR64Ue3NoJ2osAQAAaCldcnMCAAAoR7/2trZfZFOwR8AeF1J2YtpiRz9hdtNHACc4ZXV9cnQCAAAoaB1dcnUCAAB9cnYCAAAoaCBqLAEAAGgiSwF1YWgjXXJ3AgAAKEc/v762iZRo2Ec/0A7p0sIER0c/bnJLzN0S62VoGH1yeAIAAGgmRz94k3S8an76c2gnaiwBAABoKV1yeQIAAChHv/dQ+76xj/BHwAQMfIOyrIpHP6OVuVWBdOhldX1yegIAAChoHV1yewIAAH1yfAIAAChoIGosAQAAaCJLAXVhaCNdcn0CAAAoRz+Z2erCgRlwRz/ilYEQ4aSgRz/JsGxZb4f4ZWgYfXJ+AgAAaCZHP1BiTdLxqfxzaCdqLAEAAGgpXXJ/AgAAKEe/9z0bzorzHkfAFy+wvYNmbUdAAuQWsseeJmV1fXKAAgAAKGgdXXKBAgAAfXKCAgAAKGggaiwBAABoIksBdWFoI11ygwIAAChHP+++cwe0f05HP+C5CiJCywFHP3FxtPkbikplaBh9coQCAABoJke/qJN0vGp++nNoJ2osAQAAaCldcoUCAAAoR8AnFwtgVi4dR8AUzBoNQ0BeRz+vWEHb8iecZXVldVgGAAAAdGFyZ2V0coYCAABHP+iBbwBo25B1LlBLBwiTKkot6jMAAOozAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABoADgBtYi1tcC1nYXAtMDMzMDEzL2J5dGVvcmRlckZCCgBaWlpaWlpaWlpabGl0dGxlUEsHCIU94xkGAAAABgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGAA0AG1iLW1wLWdhcC0wMzMwMTMvdmVyc2lvbkZCMABaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlozClBLBwjRnmdVAgAAAAIAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAACcAKQBtYi1tcC1nYXAtMDMzMDEzLy5kYXRhL3NlcmlhbGl6YXRpb25faWRGQiUAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjA2MzY0NTc3Mzc5NDY0MDEwNTEzMDAwMDAwMTQyODkwNTE4MzI5NzJQSwcIe9BDISgAAAAoAAAAUEsBAgAAAAAICAAAAAAAAJMqSi3qMwAA6jMAABkAAAAAAAAAAAAAAAAAAAAAAG1iLW1wLWdhcC0wMzMwMTMvZGF0YS5wa2xQSwECAAAAAAgIAAAAAAAAhT3jGQYAAAAGAAAAGgAAAAAAAAAAAAAAAAA6NAAAbWItbXAtZ2FwLTAzMzAxMy9ieXRlb3JkZXJQSwECAAAAAAgIAAAAAAAA0Z5nVQIAAAACAAAAGAAAAAAAAAAAAAAAAACWNAAAbWItbXAtZ2FwLTAzMzAxMy92ZXJzaW9uUEsBAgAAAAAICAAAAAAAAHvQQyEoAAAAKAAAACcAAAAAAAAAAAAAAAAAEjUAAG1iLW1wLWdhcC0wMzMwMTMvLmRhdGEvc2VyaWFsaXphdGlvbl9pZFBLBgYsAAAAAAAAAB4DLQAAAAAAAAAAAAQAAAAAAAAABAAAAAAAAAAqAQAAAAAAALg1AAAAAAAAUEsGBwAAAADiNgAAAAAAAAEAAABQSwUGAAAAAAQABAAqAQAAuDUAAAAA" | ./matbench_mp_gap/mb-mp-gap-033013 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-047555 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-004529 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-007407 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-081756 | /tmp/hf-datasets-cache/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.