pt unknown | __key__ stringlengths 12 34 | __url__ stringclasses 2
values |
|---|---|---|
"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" | ./matbench_mp_gap/mb-mp-gap-011707 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-063793 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-031943 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-104532 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-074990 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-053013 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-093086 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-038384 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-062528 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-006932 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-022004 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-059859 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-044901 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-011232 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-067143 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-013708 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-024379 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-009493 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-011200 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-070261 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-064424 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-067785 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-011453 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTAzNDM0NS9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHwBNMSSi95FJHwAZIjNLhucRHwA+ym3SQH8hlXXENKEeAAAAAAAAAAEfAFkiNDpvPKUdAD7KbcIlU/mVdcQ4oR8ATTEkoveRSR0AGSIzS4bnER0APspt0kB/IZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAG1hB/uG2aFgBAAAAYnESR0AbWEIYKwUAWAEAAABjcRNHQBtYQf7htmhYBQAAAGFscGhhcRRHQFZxuaH1UBFYBAAAAGJldGFxFUdAVo5GVCzGP1gFAAAAZ2FtbWFxFkdAVo5GXgqv71gGAAAAdm9sdW1lcRdHQHP3jCHKTbp1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABOYXEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHAAAAAAAAAABHgAAAAAAAAABHgAAAAAAAAABlaBh9cSVYBgAAAG1hZ21vbXEmR4AAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAATmFxKFgDAAAAeHl6cSldcSooRwAAAAAAAAAARwAAAAAAAAAARwAAAAAAAAAAZXV9cSsoaB1dcSx9cS0oaCBYAgAAAE1vcS5oIksBdWFoI11xLyhHP+HLC2FdEipHP+KKC90C+txHP+h5HDC4LrBlaBh9cTBoJkeAAAAAAAAAAHNoJ1gCAAAATW9xMWgpXXEyKEfAGX05/gHXzkfABSsQXMxc9kdACPseZ8yhlGV1fXEzKGgdXXE0fXE1KGggaC5oIksBdWFoI11xNihHP84bjz0fRUBHP9xp6T1F26xHP+KKC90C+txlaBh9cTdoJkeAAAAAAAAAAHNoJ1gCAAAATW9xOGgpXXE5KEfAD3BkPrBrCEe/+DwxmTos6EdACPseaFgv5GV1fXE6KGgdXXE7fXE8KGggaC5oIksBdWFoI11xPShHP9rr6EX6CkhHP+h5HDC4LrBHP9xp6T1F26xlaBh9cT5oJkcAAAAAAAAAAHNoJ1gCAAAATW9xP2gpXXFAKEfAEK9vXN+fpEfAEMg/EmoONkdACPseZw19HGV1fXFBKGgdXXFCfXFDKGggaC5oIksBdWFoI11xRChHP9xp6T1F26xHP9rr6EX6CkhHP84bjz0fRUBlaBh9cUVoJkeAAAAAAAAAAHNoJ1gCAAAATW9xRmgpXXFHKEfACjawpvPhrEfAB2YJwGtBXEc/6t30IvLNpmV1fXFIKGgdXXFJfXFKKGggaC5oIksBdWFoI11xSyhHP+h5HDC4LrBHP+HLC2FdEipHP9rr6EX6CkhlaBh9cUxoJkeAAAAAAAAAAHNoJ1gCAAAATW9xTWgpXXFOKEfAFuBgMiOTIEfAEDmAqE1D70c/6t30IMSUZGV1fXFPKGgdXXFQfXFRKGggaC5oIksBdWFoI11xUihHP+KKC90C+txHP84bjz0fRUBHP+HLC2FdEiplaBh9cVNoJkcAAAAAAAAAAHNoJ1gCAAAATW9xVGgpXXFVKEfAFeki9JwpAEe/9gE38McDy0c/6t30Je9fiGV1fXFWKGgdXXFXfXFYKGggWAIAAABTZXFZaCJLAXVhaCNdcVooRz/YfggjZQnwRz/QN55HKF2XRz/sBsMoM0/kZWgYfXFbaCZHAAAAAAAAAABzaCdYAgAAAFNlcVxoKV1xXShHwBhJcBX+qNJHv6N5zI3OoIBHQAepx5ufmLpldX1xXihoHV1xX31xYChoIGhZaCJLAXVhaCNdcWEoRz+/yea+ZYDjRz/jwPvuTXsIRz/QN55HKF2XZWgYfXFiaCZHgAAAAAAAAABzaCdYAgAAAFNlcWNoKV1xZChHv/0lMuRvhXhHwAihyGxMhPZHQAepx5ooelxldX1xZShoHV1xZn1xZyhoIGhZaCJLAXVhaCNdcWgoRz/n5DDca9E0Rz/sBsMoM0/kRz/jwPvuTXsIZWgYfXFpaCZHAAAAAAAAAABzaCdYAgAAAFNlcWpoKV1xayhHwBpSHqsfIsZHwBT0+9VhRS5HQAepx5kd//NldX1xbChoHV1xbX1xbihoIGhZaCJLAXVhaCNdcW8oRz/jwPvuTXsIRz/n5DDca9E0Rz+/yea+ZYDjZWgYfXFwaCZHAAAAAAAAAABzaCdYAgAAAFNlcXFoKV1xcihHwAyeRHb6P6RHwBYhmXWAMehHP/ARp6nTeIhldX1xcyhoHV1xdH1xdShoIGhZaCJLAXVhaCNdcXYoRz/sBsMoM0/kRz/YfggjZQnwRz/n5DDca9E0ZWgYfXF3aCZHgAAAAAAAAABzaCdYAgAAAFNlcXhoKV1xeShHwB9PRZhf50ZHwAPvUbDrGVxHP/ARp6zBtUNldX1xeihoHV1xe31xfChoIGhZaCJLAXVhaCNdcX0oRz/QN55HKF2XRz+/yea+ZYDjRz/YfggjZQnwZWgYfXF+aCZHgAAAAAAAAABzaCdYAgAAAFNlcX9oKV1xgChHwAiM50y5S7tHv9U5E5Oon7hHP/ARp67WqhVldX1xgShoHV1xgn1xgyhoIGhZaCJLAXVhaCNdcYQoRz/OK2RyRWzHRz/odSbjbqTORz/odSbjbqTOZWgYfXGFaCZHAAAAAAAAAABzaCdYAgAAAFNlcYZoKV1xhyhHwBNMSSi95FJHwAZIjS4uK8JHQBR9snv1OvhldX1xiChoHV1xiX1xiihoIGhZaCJLAXVhaCNdcYsoRz/odSbjbqTORz/OK2RyRWzHRz/OK2RyRWzHZWgYfXGMaCZHgAAAAAAAAABzaCdYAgAAAFNlcY1oKV1xjihHwBNMSSi95FJHwAZIjO8JcpBHv/KRkw7CQeZldWV1WAYAAAB0YXJnZXRxj0cAAAAAAAAAAHUuUEsHCKKhJ584CQAAOAkAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgBAAG1iLW1wLWdhcC0wMzQzNDUvYnl0ZW9yZGVyRkI8AFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWmxpdHRsZVBLBwiFPeMZBgAAAAYAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABgANABtYi1tcC1nYXAtMDM0MzQ1L3ZlcnNpb25GQjAAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMwpQSwcI0Z5nVQIAAAACAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAnACkAbWItbXAtZ2FwLTAzNDM0NS8uZGF0YS9zZXJpYWxpemF0aW9uX2lkRkIlAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlowNjM2NDU3NzM3OTQ2NDAxMDUxMzAwMDAwMDIyMjUwMjA2NzE1ODEwUEsHCE0hIMYoAAAAKAAAAFBLAQIAAAAACAgAAAAAAACioSefOAkAADgJAAAZAAAAAAAAAAAAAAAAAAAAAABtYi1tcC1nYXAtMDM0MzQ1L2RhdGEucGtsUEsBAgAAAAAICAAAAAAAAIU94xkGAAAABgAAABoAAAAAAAAAAAAAAAAAiAkAAG1iLW1wLWdhcC0wMzQzNDUvYnl0ZW9yZGVyUEsBAgAAAAAICAAAAAAAANGeZ1UCAAAAAgAAABgAAAAAAAAAAAAAAAAAFgoAAG1iLW1wLWdhcC0wMzQzNDUvdmVyc2lvblBLAQIAAAAACAgAAAAAAABNISDGKAAAACgAAAAnAAAAAAAAAAAAAAAAAJIKAABtYi1tcC1nYXAtMDM0MzQ1Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRQSwYGLAAAAAAAAAAeAy0AAAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAKgEAAAAAAAA4CwAAAAAAAFBLBgcAAAAAYgwAAAAAAAABAAAAUEsFBgAAAAAEAAQAKgEAADgLAAAAAA==" | ./matbench_mp_gap/mb-mp-gap-034345 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-067667 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-035602 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-080611 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-037244 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-025193 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-087086 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-102179 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-068901 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-063569 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-031293 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-073769 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-059350 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-040634 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-058341 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-004238 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-094536 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-081547 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-038913 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTAzMTQ5NC9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHAAAAAAAAAABHAAAAAAAAAABHwBlRuwtZT31lXXENKEfAFFk7PcOv7kfAIaEW+5oUv0cAAAAAAAAAAGVdcQ4oR8AUV7w5ANKOR0AhoKfm5FAhRwAAAAAAAAAAZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAGVG7C1lPfVgBAAAAYnESR0AkWsIhfRIYWAEAAABjcRNHQCRaAjNU4l5YBQAAAGFscGhhcRRHQF4Bi0ej3llYBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAVoAAAAAAAFgGAAAAdm9sdW1lcRdHQIG8hMIZa5B1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABMYXEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP9OwDVku8FhHP+tLKwFgfUNHP8yeYWn9ScJlaBh9cSVYBgAAAG1hZ21vbXEmRz+SbpeNT987c1gFAAAAbGFiZWxxJ1gCAAAATGFxKFgDAAAAeHl6cSldcSooR8AV53Nr4QcWR8AWMMBei9PqR7//J6ZGf8XFZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/07JAZEkqwUc/6Nad/CncnUc/5CXLcQIgwmVoGH1xL2gmRz+SbpeNT987c2gnWAIAAABMYXEwaCldcTEoR8AcmkIKT2noR7/0rpZeeixcR7//KyFD9xbyZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/07G1RET+Ykc/17VRBSs4Ekc/wsxLyIBh5WVoGH1xNmgmRz+SbpeNT987c2gnWAIAAABMYXE3aCldcTgoR8AFDQt/Kt3jR7//iOCHSrGpR7//KkUbRBOeZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/6dgGrJd4LEc/wtNT+n4K80c/6NhnpYCtj2VoGH1xPWgmRz+SbpeNT987c2gnWAIAAABMYXE+aCldcT8oR8ASyYQK43tlR0AWL+I1IEquR8AUcscXTJkwZXV9cUAoaB1dcUF9cUIoaCBoIWgiSwF1YWgjXXFDKEc/6dkgMiSVYUc/zKWID1iNi0c/17RpHfu+fWVoGH1xRGgmRz+SbpeNT987c2gnWAIAAABMYXFFaCldcUYoR8AILWrY6jEoRz/0qx24zAdxR8AUc6XWqm17ZXV9cUcoaB1dcUh9cUkoaCBoIWgiSwF1YWgjXXFKKEc/6djaoiJ/MUc/5CVXfWpj90c/60ztDd/nh2VoGH1xS2gmRz+SbpeNT987c2gnWAIAAABMYXFMaCldcU0oR8AeKnG3LxOLRz//hWfhnIy8R8AUc27MfaymZXV9cU4oaB1dcU99cVAoaCBYAgAAAElucVFoIksBdWFoI11xUihHP9hFVZTc8V1HP9VYIkBxtSRHP+VV79EIxqNlaBh9cVNoJkc/UGJN0vGp/HNoJ1gCAAAASW5xVGgpXXFVKEfAFFmCCyZVokdAB36KPEiQS0fAAzQoOrUcSmV1fXFWKGgdXXFXfXFYKGggaFFoIksBdWFoI11xWShHP+wiqspueK9HP+VT7t/HJW5HP9VUIF3ucrplaBh9cVpoJkc/UGJN0vGp/HNoJ1gCAAAASW5xW2gpXXFcKEfAFFd1a54s2kfAB4BGjx+ixEfAFkLxowc15GV1fXFdKGgdXXFefXFfKGggWAIAAABOaXFgaCJLAXVhaCNdcWEoRz/ftuZxDbRJRz8jLa86wJs7Rz8oU131/3YXZWgYfXFiaCZHP/NgQYk3S8dzaCdYAgAAAE5pcWNoKV1xZChHv1uo1Iuk1+ZHPzaszWBd+3hHwAkX5F+y5uFldX1xZShoHV1xZn1xZyhoIGhgaCJLAXVhaCNdcWgoRz/v23M4htokRz/v/s0lDFP2Rz/v/nrKIKAJZWgYfXFpaCZHP/NgQYk3S8dzaCdYAgAAAE5pcWpoKV1xayhHwCRXnnS95BdHv1ONyhCrQABHwBk0z7WGGy5ldX1xbChoHV1xbX1xbihoIFgBAAAAU3FvaCJLAXVhaCNdcXAoRz/NN3O0rZwwRz/AeXCZxg9DRz/LxXaXNhILZWgYfXFxaCZHP8DlYEGJN0xzaCdYAQAAAFNxcmgpXXFzKEe//CFk83lhxkc/6OOFi8OlFke/9x3xiHG74mV1fXF0KGgdXXF1fXF2KGggaG9oIksBdWFoI11xdyhHP80wyAluk7FHP+kJNKyv9tNHP+0sdI1Fo01laBh9cXhoJkc/wOVgQYk3THNoJ2hyaCldcXkoR8AhO6sXBSiSRz/yOUfi//bQR7/3GKphIXdYZXV9cXooaB1dcXt9cXwoaCBob2giSwF1YWgjXXF9KEc/zTkhSVDW3Uc/tpdktg0XwUc/696H8E7dCGVoGH1xfmgmRz/A5WBBiTdMc2gnaHJoKV1xfyhHwBODMZ9ePBZHQBuXvFhGMj9Hv/cfRW3Ac9pldX1xgChoHV1xgX1xgihoIGhvaCJLAXVhaCNdcYMoRz/nTdztK2cMRz/r4aPZjnwvRz/pDqJaMnt9ZWgYfXGEaCZHP8DlYEGJN0xzaCdocmgpXXGFKEfAINRPHPMVBUe/6Op21x/u8EfAEnBZ58kWt2V1fXGGKGgdXXGHfXGIKGggaG9oIksBdWFoI11xiShHP+dMMgJbpOxHP8vbLU1AJLNHP7acW5XS5ZZlaBh9cYpoJkc/wOVgQYk3THNoJ2hyaCldcYsoR7/45oUi6MVgR7/yPMCIrhu+R8ASbwgd9QWUZXV9cYwoaB1dcY19cY4oaCBob2giSwF1YWgjXXGPKEc/505IUlQ1t0c/7S0TaT5dCEc/wIXgPsSL4WVoGH1xkGgmRz/A5WBBiTdMc2gnaHJoKV1xkShHwBUtxddmRmZHwBuYmoGxu3lHwBJwruEcxLVldX1xkihoHV1xk31xlChoIGhvaCJLAXVhaCNdcZUoRz+oHsCKdDe1Rz/iPNGnp/owRz+0ui2N18R4ZWgYfXGWaCZHP4aHKwIMSbpzaCdocmgpXXGXKEfACn0ICkCoe0fAET1+/CCdSke/0xWhP8xOa2V1fXGYKGgdXXGZfXGaKGggaG9oIksBdWFoI11xmyhHP6g81UhxXeZHP+1llUsAWWxHP99RYf0gJrxlaBh9cZxoJkc/hocrAgxJunNoJ2hyaCldcZ0oR8AcpdOdZFoMR8AORt95lR1GR7/TLW5Ijt5fZXV9cZ4oaB1dcZ99caAoaCBob2giSwF1YWgjXXGhKEc/qD4ZazYD80c/4FeKGnWiGUc/238oqhhB62VoGH1xomgmRz+GhysCDEm6c2gnaHJoKV1xoyhHwBMhtngIZ7hHv+bfiztwe2RHv9Mubr+XH/9ldX1xpChoHV1xpX1xpihoIGhvaCJLAXVhaCNdcacoRz/hgewIp0N7Rz/bhlywsAuhRz/taLpORQdxZWgYfXGoaCZHP4aHKwIMSbpzaCdocmgpXXGpKEfAG3JzcaQuQEdAETyg0rUUDkfAC7RvM1LZSmV1fXGqKGgdXXGrfXGsKGggaG9oIksBdWFoI11xrShHP+GDzVSHFd5HP7TTVaf9NJ9HP+BXTwFv7KJlaBh9ca5oJkc/hocrAgxJunNoJ2hyaCldca8oR8AIFkeywFDgR0AORSMmvgrPR8ALt2jUaytIZXV9cbAoaB1dcbF9cbIoaCBob2giSwF1YWgjXXGzKEc/4YPhlrNgP0c/31DryxS7z0c/4kBrqvPfCmVoGH1xtGgmRz+GhysCDEm6c2gnaHJoKV1xtShHwBWPQP68GsRHP+bYmfAUMYBHwAu3iONMM31ldX1xtihoHV1xt31xuChoIGhvaCJLAXVhaCNdcbkoRz/v4H5KXccxRz/VUub38T3FRz/lVFpKTlfSZWgYfXG6aCZHP2iTdLxqfvpzaCdocmgpXXG7KEfAFFbWbSmQT0dAB4DQV0yTN0fAGTjNPPWmimV1fXG8KGgdXXG9fXG+KGggaG9oIksBdWFoI11xvyhHP9/A/JS7jmFHP+VWjIQHYR1HP9VXS2tjUFxlaBh9ccBoJkc/aJN0vGp++nNoJ2hyaCldccEoR8AUWiEJmvItR8AHgoyqI6WtR8AJH99ukf2WZXVldVgGAAAAdGFyZ2V0ccJHP9rKV6eGwiB1LlBLBwhLxWunGg0AABoNAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABoAHgBtYi1tcC1nYXAtMDMxNDk0L2J5dGVvcmRlckZCGgBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWmxpdHRsZVBLBwiFPeMZBgAAAAYAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABgANABtYi1tcC1nYXAtMDMxNDk0L3ZlcnNpb25GQjAAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMwpQSwcI0Z5nVQIAAAACAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAnACkAbWItbXAtZ2FwLTAzMTQ5NC8uZGF0YS9zZXJpYWxpemF0aW9uX2lkRkIlAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlowNjM2NDU3NzM3OTQ2NDAxMDUxMzAwMDAwMDIyNzQ4NDY2ODQyOTk1UEsHCMiovyQoAAAAKAAAAFBLAQIAAAAACAgAAAAAAABLxWunGg0AABoNAAAZAAAAAAAAAAAAAAAAAAAAAABtYi1tcC1nYXAtMDMxNDk0L2RhdGEucGtsUEsBAgAAAAAICAAAAAAAAIU94xkGAAAABgAAABoAAAAAAAAAAAAAAAAAag0AAG1iLW1wLWdhcC0wMzE0OTQvYnl0ZW9yZGVyUEsBAgAAAAAICAAAAAAAANGeZ1UCAAAAAgAAABgAAAAAAAAAAAAAAAAA1g0AAG1iLW1wLWdhcC0wMzE0OTQvdmVyc2lvblBLAQIAAAAACAgAAAAAAADIqL8kKAAAACgAAAAnAAAAAAAAAAAAAAAAAFIOAABtYi1tcC1nYXAtMDMxNDk0Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRQSwYGLAAAAAAAAAAeAy0AAAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAKgEAAAAAAAD4DgAAAAAAAFBLBgcAAAAAIhAAAAAAAAABAAAAUEsFBgAAAAAEAAQAKgEAAPgOAAAAAA==" | ./matbench_mp_gap/mb-mp-gap-031494 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-068920 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-019483 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-100942 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-080952 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-000491 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-037857 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-047539 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA1Njc1Mi9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQA3BqnYKyTJHv+/bSe2J27ZHAAAAAAAAAABlXXENKEe/79tJ7YnbtkdADcGqdgrJMkcAAAAAAAAAAGVdcQ4oRwAAAAAAAAAARwAAAAAAAAAAR0AZdnZsw82gZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdADs3JWdqVE1gBAAAAYnESR0AOzclZ2pUTWAEAAABjcRNHQBl2dmzDzaBYBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAXf3pRMmGYVgGAAAAdm9sdW1lcRdHQFRwvABs9NB1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABTaXEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP+VT7BBe8tVHP9VYJ99CGldHP9//RbBjX6FlaBh9cSVYBgAAAG1hZ21vbXEmR4AAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAAU2lxKFgDAAAAeHl6cSldcSooR0ABLSxLBQ2yRz/idq6+jRJQR0AJdeIs2l/0ZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/KvLKjVdr+Ec/7/5Q01cqiUc/7/+i2DGv0GVoGH1xL2gmR4AAAAAAAAAAc2gnWAIAAABTaXEwaCldcTEoR7/v01jnq8zoR0ANv640k0V/R0AZdixMzxbKZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/5VPsEF7y1Uc/1Vgn30IaV0c/6/gsAOTXW2VoGH1xNmgmR4AAAAAAAAAAc2gnWAIAAABTaXE3aCldcTgoR0ABLSxLBQ2yRz/idq6+jRJQR0AWQW0FKQ/uZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/KvLKjVdr+Ec/7/5Q01cqiUc/1/BYAcmutWVoGH1xPWgmR4AAAAAAAAAAc2gnWAIAAABTaXE+aCldcT8oR7/v01jnq8zoR0ANv640k0V/R0ADDGOdjlI7ZXVldVgGAAAAdGFyZ2V0cUBHP9zopx3mmtB1LlBLBwhmaMCxAgQAAAIEAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABoANgBtYi1tcC1nYXAtMDU2NzUyL2J5dGVvcmRlckZCMgBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWmxpdHRsZVBLBwiFPeMZBgAAAAYAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABgANABtYi1tcC1nYXAtMDU2NzUyL3ZlcnNpb25GQjAAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMwpQSwcI0Z5nVQIAAAACAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAnACkAbWItbXAtZ2FwLTA1Njc1Mi8uZGF0YS9zZXJpYWxpemF0aW9uX2lkRkIlAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlowNjM2NDU3NzM3OTQ2NDAxMDUxMzAwMDAwMDIzNTg0NjU3OTU3MzU0UEsHCCFJ/RQoAAAAKAAAAFBLAQIAAAAACAgAAAAAAABmaMCxAgQAAAIEAAAZAAAAAAAAAAAAAAAAAAAAAABtYi1tcC1nYXAtMDU2NzUyL2RhdGEucGtsUEsBAgAAAAAICAAAAAAAAIU94xkGAAAABgAAABoAAAAAAAAAAAAAAAAAUgQAAG1iLW1wLWdhcC0wNTY3NTIvYnl0ZW9yZGVyUEsBAgAAAAAICAAAAAAAANGeZ1UCAAAAAgAAABgAAAAAAAAAAAAAAAAA1gQAAG1iLW1wLWdhcC0wNTY3NTIvdmVyc2lvblBLAQIAAAAACAgAAAAAAAAhSf0UKAAAACgAAAAnAAAAAAAAAAAAAAAAAFIFAABtYi1tcC1nYXAtMDU2NzUyLy5kYXRhL3NlcmlhbGl6YXRpb25faWRQSwYGLAAAAAAAAAAeAy0AAAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAKgEAAAAAAAD4BQAAAAAAAFBLBgcAAAAAIgcAAAAAAAABAAAAUEsFBgAAAAAEAAQAKgEAAPgFAAAAAA==" | ./matbench_mp_gap/mb-mp-gap-056752 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-101305 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-043630 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-096287 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-093590 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-048139 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-082121 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTAwNTExMy9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQBTD3/f3yM9Hv7KteXVh1uBHP7MJbZH+xZhlXXENKEdAAZp5+Ws7YkdAEs9Kj/EkRUe/swltkf7FmGVdcQ4oR7/VT7iaOtQ8Rz/hA3lsUo6YR0Ajt0eEztxHZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAFMTx9bvkbVgBAAAAYnESR0AUxPIU5amsWAEAAABjcRNHQCPBfUXU9ntYBQAAAGFscGhhcRRHQFY2Ctk557FYBAAAAGJldGFxFUdAVsn1K2ixKVgFAAAAZ2FtbWFxFkdAUG/NIQMzl1gGAAAAdm9sdW1lcRdHQG5Ucdgi4ap1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABMaXEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP8Rfs69Ee7BHP+XgR8O4/OFHP+AWqXo3U6llaBh9cSVYBgAAAG1hZ21vbXEmRz9QYk3S8an8c1gFAAAAbGFiZWxxJ1gCAAAATGlxKFgDAAAAeHl6cSldcSooR0ABTiVnQWEtR0ALw2YMZxQuR0ATq0S+n3y4ZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/1Dgbj9NyLUc/6yTTtHKN50c/77SJOXofK2VoGH1xL2gmR79QYk3S8an8c2gnWAIAAABMaXEwaCldcTEoR0AJab76HVJmR0AR+F17PfT+R0AjdIRSZ+xHZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/5eBHw7j84Uc/xF+zr0R7sEc/7+lWhcisV2VoGH1xNmgmRz9QYk3S8an8c2gnWAIAAABMaXE3aCldcTgoR0AMiWGmPlwuRz/zqToV/Q2qR0AjvUjn5owOZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/6yTTtHKN50c/1Dgbj9NyLUc/4Et2xoXg1WVoGH1xPWgmR79QYk3S8an8c2gnWAIAAABMaXE+aCldcT8oR0ATt2NAiNebRz/7HINNCHMwR0AUPM3pnLxJZXV9cUAoaB1dcUF9cUIoaCBoIWgiSwF1YWgjXXFDKEc/7SjAMuB9A0c/7SjAMuB9A0c/6AAAAAAAAGVoGH1xRGgmRwAAAAAAAAAAc2gnWAIAAABMaXFFaCldcUYoR0AZ8WyQZCBNR0ASeA8PEnNtR0AdkutHNkpqZXV9cUcoaB1dcUh9cUkoaCBYAgAAAE5icUpoIksBdWFoI11xSyhHP8+WaExEpyRHP8+WaExEpyRHP+gAAAAAAABlaBh9cUxoJke/cGJN0vGp/HNoJ1gCAAAATmJxTWgpXXFOKEc/+TCaBe4PF0c/+KjHYUzbTUdAHZLrRzZKamV1fXFPKGgdXXFQfXFRKGggaEpoIksBdWFoI11xUihHP+e0GgM2a0xHP+e0GgM2a0xHP9AAAAAAAABlaBh9cVNoJkcAAAAAAAAAAHNoJ1gCAAAATmJxVGgpXXFVKEdAFZF2OTNvQ0dADH8+7u/9EEdAA7dHhM7cR2V1fXFWKGgdXXFXfXFYKGggWAIAAABDdXFZaCJLAXVhaCNdcVooRz+z3Ib/DTvTRz+z3Ib/DTvTRz/QAAAAAAAAZWgYfXFbaCZHP9bItDlYEGJzaCdYAgAAAEN1cVxoKV1xXShHP99f6QDHOAdHP99+aHnacENHQAO3R4TO3EdldX1xXihoHV1xX31xYChoIGhZaCJLAXVhaCNdcWEoRz/v92SwrrQIRz/gVKarJQdLRz/v5rH12+TDZWgYfXFiaCZHP52yLQ5WBBlzaCdYAgAAAEN1cWNoKV1xZChHQBfoQ2hfIOtHQAbbDHmgKDZHQCO6Srg2EpNldX1xZShoHV1xZn1xZyhoIGhZaCJLAXVhaCNdcWgoRz/gVKarJQdLRz/v92SwrrQIRz/gGU4KJBs9ZWgYfXFpaCZHP6Jul41P3ztzaCdYAgAAAEN1cWpoKV1xayhHQBK4Mduu0SJHQBO2APpze21HQBOxQR4Ab65ldX1xbChoHV1xbX1xbihoIGhZaCJLAXVhaCNdcW8oRz/aTY91KHYWRz/aTY91KHYWRz/QAAAAAAAAZWgYfXFwaCZHv9Z2yLQ5WBBzaCdYAgAAAEN1cXFoKV1xcihHQAejE3xhJ6pHQABI0mr5bKJHQAO3R4TO3EdldX1xcyhoHV1xdH1xdShoIGhZaCJLAXVhaCNdcXYoRz/i3vPmbDAqRz/i3vPmbDAqRz/oAAAAAAAAZWgYfXF3aCZHv6kWhysCDEpzaCdYAgAAAEN1cXhoKV1xeShHQBBv47YjExJHQAkH19qnsZ5HQB2S60c2SmpldX1xeihoHV1xe31xfChoIFgBAAAAT3F9aCJLAXVhaCNdcX4oRz/vujjWNVZORz/J1++AKwiXRz/sScefO28XZWgYfXF/aCZHP2BiTdLxqfxzaCdofWgpXXGAKEdAFTAZOEenGUc/9Y21+XezakdAIYvjmQoNVmV1fXGBKGgdXXGCfXGDKGggaH1oIksBdWFoI11xhChHP8nX74ArCJdHP++6ONY1Vk5HP+O2OGDEkOllaBh9cYVoJkc/aJN0vGp++nNoJ2h9aCldcYYoR0AIMpR25rvcR0AT5o8v2jrnR0AYDg9cWHorZXV9cYcoaB1dcYh9cYkoaCBofWgiSwF1YWgjXXGKKEc/swgWpN0ZoUc/2r4B2MgtrEc/1mrmvjqNxWVoGH1xi2gmR79QYk3S8an8c2gnaH1oKV1xjChHP/MFD5A9GRJHQAEqZ/I3wH9HQAtrbIXxycZldX1xjShoHV1xjn1xjyhoIGh9aCJLAXVhaCNdcZAoRz/avgHYyC2sRz+zCBak3RmhRz/DKjKDiuR1ZWgYfXGRaCZHAAAAAAAAAABzaCdofWgpXXGSKEdAAkNcHvPQ+kc/2YRvWAR/00c/+AZFB1fdjmV1fXGTKGgdXXGUfXGVKGggaH1oIksBdWFoI11xlihHP9OykrnWevZHP+FCndnwIOVHP+vWeGIRbRBlaBh9cZdoJke/UGJN0vGp/HNoJ2h9aCldcZgoR0AD9aDbE7e+R0AHz9BgE5t2R0AhHfa/ub6WZXV9cZkoaB1dcZp9cZsoaCBofWgiSwF1YWgjXXGcKEc/4UKd2fAg5Uc/07KSudZ69kc/5CmHne6S8GVoGH1xnWgmRz9QYk3S8an8c2gnaH1oKV1xnihHQAoj3Yoz8PBHP/vjBrgxZf9HQBjp6Q75F6pldX1xnyhoHV1xoH1xoShoIGh9aCJLAXVhaCNdcaIoRz/eRLPZYNngRz/mBa+XXNNrRz/YOJ+j9LxVZWgYfXGjaCZHv6cKPXCj1wpzaCdofWgpXXGkKEdADr9zezpl3UdACzkhjUlBskdADbfpZczY9GV1fXGlKGgdXXGmfXGnKGggaH1oIksBdWFoI11xqChHP+YFr5dc02tHP95Es9lg2eBHP78dgXAtDqxlaBh9caloJke/pwo9cKPXCnNoJ2h9aCldcaooR0ASSpAnfkhhR0AB6DvgsvBkRz/zbUtHob80ZXV9casoaB1dcax9ca0oaCBofWgiSwF1YWgjXXGuKEc/4mfBeokzGkc/7YG3X9MkVUc/6z4SqnyV02VoGH1xr2gmR798rAgxJul5c2gnaH1oKV1xsChHQBLs5WnQr7FHQBL8oFW5uy1HQCC7rZQhw9VldX1xsShoHV1xsn1xsyhoIGh9aCJLAXVhaCNdcbQoRz/tgbdf0yRVRz/iZ8F6iTMaRz/kwe1Vg2otZWgYfXG1aCZHv4BiTdLxqfxzaCdofWgpXXG2KEdAF1h8E9yGUkdAB9u4JN4TEEdAGa57ZikNKmV1fXG3KGgdXXG4fXG5KGggaH1oIksBdWFoI11xuihHP+njidgFkA1HP3r2xptaY/pHP9h4u9OARTVlaBh9cbtoJkc/pP3ztkWhy3NoJ2h9aCldcbwoR0AQWSGZNZaURz/GbcurpTQ0R0AOoeZ+tGN8ZXV9cb0oaB1dcb59cb8oaCBofWgiSwF1YWgjXXHAKEc/evbGm1pj+kc/6eOJ2AWQDUc/vh0Qsf7rLWVoGH1xwWgmRz+lgQYk3S8bc2gnaH1oKV1xwihHP/xnP2JH+gxHQA7ufV7DBSdHP/GZURXSqiZldWV1WAYAAAB0YXJnZXRxw0cAAAAAAAAAAHUuUEsHCBUb4UQiDQAAIg0AAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgAWAG1iLW1wLWdhcC0wMDUxMTMvYnl0ZW9yZGVyRkISAFpaWlpaWlpaWlpaWlpaWlpaWmxpdHRsZVBLBwiFPeMZBgAAAAYAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABgANABtYi1tcC1nYXAtMDA1MTEzL3ZlcnNpb25GQjAAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMwpQSwcI0Z5nVQIAAAACAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAnACkAbWItbXAtZ2FwLTAwNTExMy8uZGF0YS9zZXJpYWxpemF0aW9uX2lkRkIlAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlowNjM2NDU3NzM3OTQ2NDAxMDUxMzAwMDAwMDE1NzkyNjY3MzAwOTAyUEsHCNXFcgsoAAAAKAAAAFBLAQIAAAAACAgAAAAAAAAVG+FEIg0AACINAAAZAAAAAAAAAAAAAAAAAAAAAABtYi1tcC1nYXAtMDA1MTEzL2RhdGEucGtsUEsBAgAAAAAICAAAAAAAAIU94xkGAAAABgAAABoAAAAAAAAAAAAAAAAAcg0AAG1iLW1wLWdhcC0wMDUxMTMvYnl0ZW9yZGVyUEsBAgAAAAAICAAAAAAAANGeZ1UCAAAAAgAAABgAAAAAAAAAAAAAAAAA1g0AAG1iLW1wLWdhcC0wMDUxMTMvdmVyc2lvblBLAQIAAAAACAgAAAAAAADVxXILKAAAACgAAAAnAAAAAAAAAAAAAAAAAFIOAABtYi1tcC1nYXAtMDA1MTEzLy5kYXRhL3NlcmlhbGl6YXRpb25faWRQSwYGLAAAAAAAAAAeAy0AAAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAKgEAAAAAAAD4DgAAAAAAAFBLBgcAAAAAIhAAAAAAAAABAAAAUEsFBgAAAAAEAAQAKgEAAPgOAAAAAA==" | ./matbench_mp_gap/mb-mp-gap-005113 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-105594 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-004690 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-037118 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-052437 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-004408 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-069008 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-022002 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA5NTA3OC9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQAhG4hhjeSFHAAAAAAAAAABHAAAAAAAAAABlXXENKEcAAAAAAAAAAEdAE9cs+AW1okcAAAAAAAAAAGVdcQ4oRwAAAAAAAAAARwAAAAAAAAAAR0AT1yz4BbWiZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdACEbiGGN5IVgBAAAAYnESR0AT1yz4BbWiWAEAAABjcRNHQBPXLPgFtaJYBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAVoAAAAAAAFgFAAAAZ2FtbWFxFkdAVoAAAAAAAFgGAAAAdm9sdW1lcRdHQFKqQecqWSd1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAEAAABOcSFYBAAAAG9jY3VxIksBdWFYAwAAAGFiY3EjXXEkKEc/4AAAAAAAAEc/4AAAAAAAAEc/4AAAAAAAAGVoGH1xJVgGAAAAbWFnbW9tcSZHAAAAAAAAAABzWAUAAABsYWJlbHEnaCFYAwAAAHh5enEoXXEpKEc/+EbiGGN5IUdAA9cs+AW1okdAA9cs+AW1omV1fXEqKGgdXXErfXEsKGggaCFoIksBdWFoI11xLShHAAAAAAAAAABHAAAAAAAAAABHAAAAAAAAAABlaBh9cS5oJkcAAAAAAAAAAHNoJ2ghaChdcS8oRwAAAAAAAAAARwAAAAAAAAAARwAAAAAAAAAAZXV9cTAoaB1dcTF9cTIoaCBYAgAAAFRpcTNoIksBdWFoI11xNChHP+AAAAAAAABHP+mCOTAiXKFHP8n3Gz92jXtlaBh9cTVoJkcAAAAAAAAAAHNoJ1gCAAAAVGlxNmgoXXE3KEc/+EbiGGN5IUdAD6Gxeyhwykc/8BlQ6cX09GV1fXE4KGgdXXE5fXE6KGggaDNoIksBdWFoI11xOyhHAAAAAAAAAABHP+Z9xs/do19HP+Z9xs/do19laBh9cTxoJkcAAAAAAAAAAHNoJ1gCAAAAVGlxPWgoXXE+KEcAAAAAAAAAAEdAC+PVbOiwHEdAC+PVbOiwHGV1fXE/KGgdXXFAfXFBKGggaDNoIksBdWFoI11xQihHP+AAAAAAAABHP8n3Gz92jXtHP+mCOTAiXKFlaBh9cUNoJkcAAAAAAAAAAHNoJ1gCAAAAVGlxRGgoXXFFKEc/+EbiGGN5IUc/8BlQ6cX09EdAD6GxeyhwymV1fXFGKGgdXXFHfXFIKGggaDNoIksBdWFoI11xSShHAAAAAAAAAABHP9MEcmBEuUNHP9MEcmBEuUNlaBh9cUpoJkcAAAAAAAAAAHNoJ1gCAAAAVGlxS2goXXFMKEcAAAAAAAAAAEc/95UJBkV2UUc/95UJBkV2UWV1ZXVYBgAAAHRhcmdldHFNRwAAAAAAAAAAdS5QSwcIDJEE0+oEAADqBAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAaAA4AbWItbXAtZ2FwLTA5NTA3OC9ieXRlb3JkZXJGQgoAWlpaWlpaWlpaWmxpdHRsZVBLBwiFPeMZBgAAAAYAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABgANABtYi1tcC1nYXAtMDk1MDc4L3ZlcnNpb25GQjAAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMwpQSwcI0Z5nVQIAAAACAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAnACkAbWItbXAtZ2FwLTA5NTA3OC8uZGF0YS9zZXJpYWxpemF0aW9uX2lkRkIlAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlowNjM2NDU3NzM3OTQ2NDAxMDUxMzAwMDAwMDI1NTY2Mjk3OTY3MjE0UEsHCGf81sooAAAAKAAAAFBLAQIAAAAACAgAAAAAAAAMkQTT6gQAAOoEAAAZAAAAAAAAAAAAAAAAAAAAAABtYi1tcC1nYXAtMDk1MDc4L2RhdGEucGtsUEsBAgAAAAAICAAAAAAAAIU94xkGAAAABgAAABoAAAAAAAAAAAAAAAAAOgUAAG1iLW1wLWdhcC0wOTUwNzgvYnl0ZW9yZGVyUEsBAgAAAAAICAAAAAAAANGeZ1UCAAAAAgAAABgAAAAAAAAAAAAAAAAAlgUAAG1iLW1wLWdhcC0wOTUwNzgvdmVyc2lvblBLAQIAAAAACAgAAAAAAABn/NbKKAAAACgAAAAnAAAAAAAAAAAAAAAAABIGAABtYi1tcC1nYXAtMDk1MDc4Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRQSwYGLAAAAAAAAAAeAy0AAAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAKgEAAAAAAAC4BgAAAAAAAFBLBgcAAAAA4gcAAAAAAAABAAAAUEsFBgAAAAAEAAQAKgEAALgGAAAAAA==" | ./matbench_mp_gap/mb-mp-gap-095078 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-075558 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-078730 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-012864 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-082329 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-101547 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-000143 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-037139 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-038801 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-045880 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-021296 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-057870 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-078573 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-033435 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-042273 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-029090 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-084902 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-098954 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTAyODc3Mi9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQBtYM3+JTRtHPynTOtAKmeJHQAhHUW2F6mVlXXENKEdABQwC7Zsjh0dAHb8xT1hX20dAClEvirIgI2VdcQ4oRz+BuXNTtLL7Rz+AIDD375BGR0AiY0lf8FWTZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAHesBVqa2OlgBAAAAYnESR0AhF/bHyw4kWAEAAABjcRNHQCJjSlnA8F9YBQAAAGFscGhhcRRHQFDTGOvqs/9YBAAAAGJldGFxFUdAUIB/tR58IVgFAAAAZ2FtbWFxFkdAUANnObeIfFgGAAAAdm9sdW1lcRdHQH0xbmJQd/x1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAEAAABPcSFYBAAAAG9jY3VxIksBdWFYAwAAAGFiY3EjXXEkKEc/ys0BZYXAykc/4YpX19hDo0c/5+H1znjJamVoGH1xJVgFAAAAbGFiZWxxJmghWAMAAAB4eXpxJ11xKChHQAcKBZ38tVRHQBBUO7B+WIRHQCKZxcCINJxldX1xKShoHV1xKn1xKyhoIGghaCJLAXVhaCNdcSwoRz/ExGZhXejpRz/R9093jH5+Rz/KK66EjUL0ZWgYfXEtaCZoIWgnXXEuKEc//Zc94F/diUdAALbUoyslhEdACl1tS2FGomV1fXEvKGgdXXEwfXExKGggaCFoIksBdWFoI11xMihHP+rO6ICHedxHP+cEWl0YtNhHP+l1EkX9uyxlaBh9cTNoJmghaCddcTQoR0AegUSypeB4R0AVbAyvQjT5R0Aocg3q3ZmCZXV9cTUoaB1dcTZ9cTcoaCBoIWgiSwF1YWgjXXE4KEc/6/C9BtwSOkc/7buM07h5WUc/zLDjzZpSJmVoGH1xOWgmaCFoJ11xOihHQCDUnuBTO9pHQBulmKQys19HQB8RlMIq6ttldX1xOyhoHV1xPH1xPShoIGghaCJLAXVhaCNdcT4oRz+bYaDZ1MgZRz/iQ0Ey0DblRz/Rpw4BH4+9ZWgYfXE/aCZoIWgnXXFAKEc/+vx9cGhm5kdAEPxLW0z84EdAEfpTVc63cWV1fXFBKGgdXXFCfXFDKGggaCFoIksBdWFoI11xRChHP+AhU/gkv1JHP+5yucu+LvpHP+gd5xuthYplaBh9cUVoJmghaCddcUYoR0AX0p4nSnE6R0AcVBG0/JFVR0AnLX/zJx8dZXV9cUcoaB1dcUh9cUkoaCBoIWgiSwF1YWgjXXFKKEc/562xOMect0c/ylVxtvyA70c/SkdpdhBSiWVoGH1xS2gmaCFoJ11xTChHQBZmEb6wo+lHP/h7ZR+/By1HQAdwMzQK/sFldX1xTShoHV1xTn1xTyhoIGghaCJLAXVhaCNdcVAoRz/uSswhVjv3Rz/S0/uqsMMsRz/f8ZdnOkvWZWgYfXFRaCZoIWgnXXFSKEdAHP+So1lUHEdAAYkInMODGEdAINvoFIAZX2V1fXFTKGgdXXFUfXFVKGggaCFoIksBdWFoI11xVihHP+JUp+1EZoxHP9yoksZAwZFHP+hkdEjSK9xlaBh9cVdoJmghaCddcVgoR0AUZw3lTrUHR0AKsIVJYr1qR0AkcHvK8z0wZXV9cVkoaB1dcVp9cVsoaCBoIWgiSwF1YWgjXXFcKEc/6QvgY1eTOkc/qs6xqVrXvUc/55st03fhuWVoGH1xXWgmaCFoJ11xXihHQBX6pY9XfqJHP9lNLYoMA+hHQCKo5mMGVbBldX1xXyhoHV1xYH1xYShoIGghaCJLAXVhaCNdcWIoRz/pTL+mno/ORz/c60wekZCMRz/QPBRjDm0rZWgYfXFjaCZoIWgnXXFkKEdAGmIOMHR0GUdACuZu1XO37EdAGN9G3iirDWV1fXFlKGgdXXFmfXFnKGggaCFoIksBdWFoI11xaChHP9aHy1B15DNHP+j76ORaiAxHP+aMQ6rPoellaBh9cWloJmghaCddcWooR0AR3e4B4+b5R0AXP1G70T97R0AkOuGX324CZXV9cWsoaB1dcWx9cW0oaCBoIWgiSwF1YWgjXXFuKEc/46ArmYvXukc/65FyeO5TWkc/kfTk7teOnWVoGH1xb2gmaCFoJ11xcChHQBnWSrekBn1HQBmgyjtUH3lHQBNtFYxB3+BldX1xcShoHV1xcn1xcyhoIGghaCJLAXVhaCNdcXQoRz/ff0RDUOKcRz/kby9oIn4vRz/e4TBcE1FBZWgYfXF1aCZoIWgnXXF2KEdAFDGxHo1sTUdAEwLXa76MokdAIA99ovRh2GV1fXF3KGgdXXF4fXF5KGggaCFoIksBdWFoI11xeihHP+BAYhAVduBHP9choS+7A6JHP+CPZ9H2V2BlaBh9cXtoJmghaCddcXwoR0ARtWQm+xMPR0AFiTtFJFBcR0Ad89mNZ6icZXV9cX0oaB1dcX59cX8oaCBoIWgiSwF1YWgjXXGAKEc/7yTy+TFZv0c/23mBzB16ZEc/5yx25pFEC2VoGH1xgWgmaCFoJ11xgihHQB8n8wPf2w9HQAmWV0sO0J9HQCYMPyz5oHlldX1xgyhoHV1xhH1xhShoIGghaCJLAXVhaCNdcYYoRz/kvBxwpAH9Rz/MEGTSEbAsRz/S53iqYLwtZWgYfXGHaCZoIWgnXXGIKEdAFAkmKW6fxkc/+iCVFjc4H0dAFZ0RtKtOfGV1fXGJKGgdXXGKfXGLKGggaCFoIksBdWFoI11xjChHP8A9HKuHV85HP7IjmWI8NTpHP+jTxwyZa3ZlaBh9cY1oJmghaCddcY4oRz/w914TiB6YRz/hDuNQ8AuRR0AfAUARJYFvZXV9cY8oaB1dcZB9cZEoaCBoIWgiSwF1YWgjXXGSKEc/y9CG1h2DdEc/7lMSzItebUc/0MmgJ1JUYWVoGH1xk2gmaCFoJ11xlChHQA/Y2nSVCJtHQBwyoEITkQBHQBjBA/vX8qhldX1xlShoHV1xln1xlyhoIGghaCJLAXVhaCNdcZgoRz/bVrRXNRsVRz/hq7ac3583Rz/Obi7ct1CPZWgYfXGZaCZoIWgnXXGaKEdAEYAFlXXnQ0dAEG8yaZvzj0dAFTHcccAT+mV1fXGbKGgdXXGcfXGdKGggaCFoIksBdWFoI11xnihHP6tTX3iLgf9HP+aWAiqnnmpHP+AHMjOD5f5laBh9cZ9oJmghaCddcaAoR0ABzwGtrTKTR0AVAvC/ZErxR0AcWwF1qAdvZXV9caEoaB1dcaJ9caMoaCBoIWgiSwF1YWgjXXGkKEc/0KShwC6uv0c/6WqjkkDfxEc/7/luJaJ762VoGH1xpWgmaCFoJ11xpihHQA8CA3gn8MJHQBeom8ZdkHhHQCktXTbQh3xldX1xpyhoHV1xqH1xqShoIGghaCJLAXVhaCNdcaooRz/fvVgPtoFcRz+o1GNEHRBcRz/PiGORSenZZWgYfXGraCZoIWgnXXGsKEdADCjnEWyP+0c/1zY1lNXmK0dAD2+mq1zkYWV1fXGtKGgdXXGufXGvKGggaCFoIksBdWFoI11xsChHP9i/pJsqaF5HP8G6Pn/CgvJHP+9wWNiJQ4tlaBh9cbFoJmghaCddcbIoR0AIIYu8TXQ9Rz/wmrMYEKPFR0AlUt7gakdfZXV9cbMoaB1dcbR9cbUoaCBYAQAAAFBxtmgiSwF1YWgjXXG3KEc/5pR0K0sHZUc/uRBbbOMtNkc/xo0f+Rmx2GVoGH1xuGgmaLZoJ11xuShHQBRU0Jan3/ZHP+dZE+uiSidHQBBVUDC3PzZldX1xuihoHV1xu31xvChoIGi2aCJLAXVhaCNdcb0oRz+UvMXDmRxxRz/jIf2rvNzARz/lo6v8R7moZWgYfXG+aCZotmgnXXG/KEc/+3oAksAu30dAEc6TGmLdpkdAIH22dLmlNGV1fXHAKGgdXXHBfXHCKGggaLZoIksBdWFoI11xwyhHP+Xgc84DAr9HP+0d0KBr8L9HP+qHJV3dgM9laBh9ccRoJmi2aCddccUoR0AcTEZOXcjXR0AbF85VNGNxR0ApYSAk9YmWZXV9ccYoaB1dccd9ccgoaCBotmgiSwF1YWgjXXHJKEc/71oZ0eM3HEc/2bwEqIZGgUc/1LioB3CMsGVoGH1xymgmaLZoJ11xyyhHQB8IkYtQrYBHQAfxw+fOJCZHQB0XZlKJZgJldX1xzChoHV1xzX1xzihoIGi2aCJLAXVhaCNdcc8oRz/S1xN3rAkIRz/s3farQo5wRz/qXLXo2p9zZWgYfXHQaCZotmgnXXHRKEdAEZI//o4xwUdAGtxUg1y5X0dAJt7AWbBtnmV1fXHSKGgdXXHTfXHUKGggaLZoIksBdWFoI11x1ShHP9sJKBIX2pJHP+LiKt1OT0NHP+V5GeeHuRxlaBh9cdZoJmi2aCddcdcoR0ARyNL5XPE7R0ARk0jGnjlVR0AiyQ0z4E6SZXV9cdgoaB1dcdl9cdooaCBotmgiSwF1YWgjXXHbKEc/4ntr9vQSt0c/2jumE6V5TEc/1Q3MMPCNx2VoGH1x3GgmaLZoJ11x3ShHQBQePgYV3YhHQAhoVKkz9khHQBiAt/d4dyBldX1x3ihoHV1x331x4ChoIGi2aCJLAXVhaCNdceEoRz/UPxhj+fqCRz+3EXr8oHoJRz/F42qIifzEZWgYfXHiaCZotmgnXXHjKEdAAzWWw0XgwUc/5X01yKxiO0dABqEl5CM6fWV1fXHkKGgdXXHlfXHmKGggWAIAAABGZXHnaCJLAXVhaCNdcegoRz/C32ndaVIpRz/n//yaROU3Rz/QAFJVjVA1ZWgYfXHpaCZYAgAAAEZlcepoJ11x6yhHQAfdsXRqZKpHQBZRbYER6HZHQBTaeFHOZ8pldX1x7ChoHV1x7X1x7ihoIGjnaCJLAXVhaCNdce8oRz/rSCehhJ+MRz/QAAKZuE1kRz/n/9bVOVflZWgYfXHwaCZYAgAAAEZlcfFoJ11x8ihHQBn4OhABf39HP/3YFmimuj9HQCScLWyKRTRldWV1WAYAAAB0YXJnZXRx80cAAAAAAAAAAHUuUEsHCPhOhD6bDwAAmw8AAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgAdAG1iLW1wLWdhcC0wMjg3NzIvYnl0ZW9yZGVyRkIZAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpsaXR0bGVQSwcIhT3jGQYAAAAGAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAYADQAbWItbXAtZ2FwLTAyODc3Mi92ZXJzaW9uRkIwAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjMKUEsHCNGeZ1UCAAAAAgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAJwApAG1iLW1wLWdhcC0wMjg3NzIvLmRhdGEvc2VyaWFsaXphdGlvbl9pZEZCJQBaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMDYzNjQ1NzczNzk0NjQwMTA1MTMwMDAwMDAxNTQyMzM0MTIzMDk4N1BLBwilWyLvKAAAACgAAABQSwECAAAAAAgIAAAAAAAA+E6EPpsPAACbDwAAGQAAAAAAAAAAAAAAAAAAAAAAbWItbXAtZ2FwLTAyODc3Mi9kYXRhLnBrbFBLAQIAAAAACAgAAAAAAACFPeMZBgAAAAYAAAAaAAAAAAAAAAAAAAAAAOsPAABtYi1tcC1nYXAtMDI4NzcyL2J5dGVvcmRlclBLAQIAAAAACAgAAAAAAADRnmdVAgAAAAIAAAAYAAAAAAAAAAAAAAAAAFYQAABtYi1tcC1nYXAtMDI4NzcyL3ZlcnNpb25QSwECAAAAAAgIAAAAAAAApVsi7ygAAAAoAAAAJwAAAAAAAAAAAAAAAADSEAAAbWItbXAtZ2FwLTAyODc3Mi8uZGF0YS9zZXJpYWxpemF0aW9uX2lkUEsGBiwAAAAAAAAAHgMtAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAACoBAAAAAAAAeBEAAAAAAABQSwYHAAAAAKISAAAAAAAAAQAAAFBLBQYAAAAABAAEACoBAAB4EQAAAAA=" | ./matbench_mp_gap/mb-mp-gap-028772 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-041537 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-008756 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-048862 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-023717 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-044657 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-066227 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-073738 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-061897 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-066883 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA2NzY2My9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQBWIfwGS0ipHAAAAAAAAAABHQAAPlJV4zZxlXXENKEdAAfLJ4Yr05kdAHiK7CSr2+kdAAaSTbrI6T2VdcQ4oRz+VznzQNTcZR7+ne9Gyj7S+R0AgVBR0gTFDZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAFvtbVNo8lFgBAAAAYnESR0AgVCj7deXaWAEAAABjcRNHQCBUKPt/qMVYBQAAAGFscGhhcRRHQFKmDZuc+M5YBAAAAGJldGFxFUdAUVmFQx5iaFgFAAAAZ2FtbWFxFkdAUVmFQvV3IlgGAAAAdm9sdW1lcRdHQHSyJ0oyd/d1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABTaXEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP7ryb0i4KqlHP+eTdl8s4TVHP6r+3UA3fZtlaBh9cSVYBgAAAG1hZ21vbXEmRwAAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAAU2lxKFgDAAAAeHl6cSldcSooR0ABxAYRmsITR0AWMVt/ChX1R0ACIflGwGRwZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/7KGyFuj6q0c/0NkTQaY9l0c/7lASK/yIJmVoGH1xL2gmRwAAAAAAAAAAc2gnWAIAAABTaXEwaCldcTEoR0AVta9mWyDKRz//CZ+a7wZuR0AkOKAj29oiZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/2UNkLdH1Vkc/7lASK/yIJkc/0NkTQaY9l2VoGH1xNmgmRwAAAAAAAAAAc2gnWAIAAABTaXE3aCldcTgoR0ARBf8C2MQ+R0Acf5oSg+htR0AUH4XN3bWEZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/415N6RcFVUc/qv7dQDd9m0c/55N2XyzhNWVoGH1xPWgmRwAAAAAAAAAAc2gnWAIAAABTaXE+aCldcT8oR0ALI2bYn3ssRz/XQpU0HvJAR0AdYrcdOjD4ZXV9cUAoaB1dcUF9cUIoaCBoIWgiSwF1YWgjXXFDKEc/nZaXMLOnDEc/zE0tGemLH0c/zE0tGemLH2VoGH1xRGgmRwAAAAAAAAAAc2gnWAIAAABTaXFFaCldcUYoRz/lAI7bGkydRz/6fYe+RdGSR0ACzmRPhAXKZXV9cUcoaB1dcUh9cUkoaCBoIWgiSwF1YWgjXXFKKEc/3iaWjPTFj0c/6Oy0uYWdOEc/6Oy0uYWdOGVoGH1xS2gmRwAAAAAAAAAAc2gnWAIAAABTaXFMaCldcU0oR0ARM2ES+88sR0AXVGF2NGMsR0AiC5LO+9gYZXV9cU4oaB1dcU99cVAoaCBoIWgiSwF1YWgjXXFRKEc/7xNLRnpiyEc/6Oy0uYWdOEc/6Oy0uYWdOGVoGH1xUmgmRwAAAAAAAAAAc2gnWAIAAABTaXFTaCldcVQoR0Ab96CTxThBR0AXVGF2NGMsR0AkDYVhqvHLZXV9cVUoaB1dcVZ9cVcoaCBoIWgiSwF1YWgjXXFYKEc/6AAAAAAAAEc/4AAAAAAAAEc/4AAAAAAAAGVoGH1xWWgmRwAAAAAAAAAAc2gnWAIAAABTaXFaaCldcVsoR0AUrfj3+PV2R0AN88NlxdeRR0AawxEIOwzxZXV9cVwoaB1dcV19cV4oaCBoIWgiSwF1YWgjXXFfKEc/0AAAAAAAAEc/4AAAAAAAAEc/4AAAAAAAAGVoGH1xYGgmRwAAAAAAAAAAc2gnWAIAAABTaXFhaCldcWIoR0AD03LuXxi/R0AN88NlxdeRR0AWvyvi3NmKZXV9cWMoaB1dcWR9cWUoaCBoIWgiSwF1YWgjXXFmKEc/4Oy0uYWdOEc/zE0tGemLH0c/zE0tGemLH2VoGH1xZ2gmRwAAAAAAAAAAc2gnWAIAAABTaXFoaCldcWkoR0AKyKK4WWVQRz/6fYe+RdGSR0AK1i6aQGyYZXV9cWooaB1dcWt9cWwoaCBYAgAAAFJocW1oIksBdWFoI11xbihHP+gAAAAAAABHAAAAAAAAAABHAAAAAAAAAABlaBh9cW9oJkcAAAAAAAAAAHNoJ1gCAAAAUmhxcGgpXXFxKEdAECZfQS4doEcAAAAAAAAAAEc/+Bde4DU0amV1fXFyKGgdXXFzfXF0KGggaG1oIksBdWFoI11xdShHP+uCaHU0X4NHP+EB725iXkRHP+f5P6yTRm5laBh9cXZoJkcAAAAAAAAAAHNoJ1gCAAAAUmhxd2gpXXF4KEdAF1hKzEmKV0dAD8IsOHZBg0dAIgdjlKhlV2V1fXF5KGgdXXF6fXF7KGggaG1oIksBdWFoI11xfChHP9cE0OpovwZHP+f5P6yTRm5HP+EB725iXkRlaBh9cX1oJkcAAAAAAAAAAHNoJ1gCAAAAUmhxfmgpXXF/KEdADQbU+ZetYkdAFnq6PuVtO0dAGtqRktq9YmV1fXGAKGgdXXGBfXGCKGggaG1oIksBdWFoI11xgyhHP+R9l4rLoH1HP9ANgKbZcyNHP938ISM7Q3hlaBh9cYRoJkcAAAAAAAAAAHNoJ1gCAAAAUmhxhWgpXXGGKEdAEBRH8lyrIkc//eQkm4GpU0dAFqerWD0pGmV1fXGHKGgdXXGIfXGJKGggaG1oIksBdWFoI11xiihHP9AAAAAAAABHAAAAAAAAAABHAAAAAAAAAABlaBh9cYtoJkcAAAAAAAAAAHNoJ1gCAAAAUmhxjGgpXXGNKEc/9Yh/AZLSKkcAAAAAAAAAAEc/4A+UlXjNnGV1fXGOKGgdXXGPfXGQKGggaG1oIksBdWFoI11xkShHP8H2XisugfRHP938ISM7Q3hHP9ANgKbZcyNlaBh9cZJoJkcAAAAAAAAAAHNoJ1gCAAAAUmhxk2gpXXGUKEc//P2ei3vd9EdADCVakxVtnkdACubrg443mmV1fXGVKGgdXXGWfXGXKGggWAIAAABEeXGYaCJLAXVhaCNdcZkoRz/Xk4V4pVg/Rz/ZnvmVV8CGRz/rnP28rsd+ZWgYfXGaaCZHAAAAAAAAAABzaCdYAgAAAER5cZtoKV1xnChHQAcybse8p6VHQAfPyeqBKZlHQCFVu3ajW71ldX1xnShoHV1xnn1xnyhoIGiYaCJLAXVhaCNdcaAoRz/kNj1DrVPhRz/jMIM1VB+9Rz/BjAkNROIHZWgYfXGhaCZHAAAAAAAAAABzaCdYAgAAAER5caJoKV1xoyhHQBL+ewtKLgJHQBIL3nCFQsRHQA2ti/uiXgJldX1xpChoHV1xpX1xpihoIGiYaCJLAXVhaCNdcacoRz/A2PUOtU+DRz/BjAkNROIHRz/jMIM1VB+9ZWgYfXGoaCZHAAAAAAAAAABzaCdYAgAAAER5caloKV1xqihHP/B2T6lrbSFHP/AVquE10PpHQBXZhKfDhn5ldX1xqyhoHV1xrH1xrShoIGiYaCJLAXVhaCNdca4oRz/rycK8UqwfRz/rnP28rsd+Rz/ZnvmVV8CGZWgYfXGvaCZHAAAAAAAAAABzaCdYAgAAAER5cbBoKV1xsShHQBp6HoTNpoxHQBnuWK14Y1FHQBuouENUX/1ldWV1WAYAAAB0YXJnZXRxskcAAAAAAAAAAHUuUEsHCKTAbOqQCwAAkAsAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgAoAG1iLW1wLWdhcC0wNjc2NjMvYnl0ZW9yZGVyRkIkAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWmxpdHRsZVBLBwiFPeMZBgAAAAYAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABgANABtYi1tcC1nYXAtMDY3NjYzL3ZlcnNpb25GQjAAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMwpQSwcI0Z5nVQIAAAACAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAnACkAbWItbXAtZ2FwLTA2NzY2My8uZGF0YS9zZXJpYWxpemF0aW9uX2lkRkIlAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlowNjM2NDU3NzM3OTQ2NDAxMDUxMzAwMDAwMDI3MTM3NDc4Mjg4MTQ4UEsHCL320lwoAAAAKAAAAFBLAQIAAAAACAgAAAAAAACkwGzqkAsAAJALAAAZAAAAAAAAAAAAAAAAAAAAAABtYi1tcC1nYXAtMDY3NjYzL2RhdGEucGtsUEsBAgAAAAAICAAAAAAAAIU94xkGAAAABgAAABoAAAAAAAAAAAAAAAAA4AsAAG1iLW1wLWdhcC0wNjc2NjMvYnl0ZW9yZGVyUEsBAgAAAAAICAAAAAAAANGeZ1UCAAAAAgAAABgAAAAAAAAAAAAAAAAAVgwAAG1iLW1wLWdhcC0wNjc2NjMvdmVyc2lvblBLAQIAAAAACAgAAAAAAAC99tJcKAAAACgAAAAnAAAAAAAAAAAAAAAAANIMAABtYi1tcC1nYXAtMDY3NjYzLy5kYXRhL3NlcmlhbGl6YXRpb25faWRQSwYGLAAAAAAAAAAeAy0AAAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAKgEAAAAAAAB4DQAAAAAAAFBLBgcAAAAAog4AAAAAAAABAAAAUEsFBgAAAAAEAAQAKgEAAHgNAAAAAA==" | ./matbench_mp_gap/mb-mp-gap-067663 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-102773 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-012520 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-008655 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-068651 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-077441 | /tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz |
"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" | ./matbench_mp_gap/mb-mp-gap-093838 | /tmp/hf-datasets-cache/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.