Datasets:
Zatom-AI
/
matbench

Dataset card Data Studio Files
xet
 Community
pt
unknown
__key__
stringlengths
12
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__url__
stringclasses
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./matbench_mp_gap/mb-mp-gap-094192
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-053602
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-006496
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-068024
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-055085
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-076854
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-024420
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-067236
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-097506
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-056657
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-002051
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-032263
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-060373
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-046925
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-068711
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-005027
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./matbench_mp_gap/mb-mp-gap-080029
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-058883
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-029539
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-004986
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-103039
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-032529
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-101198
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-061172
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-036764
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-030728
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-082592
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-086047
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-098538
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-058085
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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HP9LJGU6FnxFHP7wmjDDQV3FlaBh9cd9oJkc/eJN0vGp++nNoJ1gCAAAAU21x4GgpXXHhKEdABeCoqpTSyEc/++miF9z4oUdAFYPkZYj9+mV1fXHiKGgdXXHjfXHkKGggaJdoIksBdWFoI11x5ShHP+G5JMSFgIhHP+livGglrjpHP7xF7J5OXzRlaBh9ceZoJkc/fKwIMSbpeXNoJ1gCAAAAU21x52gpXXHoKEdAIOsFcgXIvEc//AU+OYF4N0dAFYE5otSq3GV1fXHpKGgdXXHqfXHrKGggaJdoIksBdWFoI11x7ChHP+HUd7E8eIFHP+lazC7CNURHP+OIwQ7+dZFlaBh9ce1oJkc/eJN0vGp++nNoJ1gCAAAAU21x7mgpXXHvKEdAFlMkkITNr0dAI1op4LzGEUdABcOjJ83C1WV1fXHwKGgdXXHxfXHyKGggaJdoIksBdWFoI11x8yhHP9yQJn5D/bFHP+anNUi3KPdHP9jc8lQa31RlaBh9cfRoJkc/fKwIMSbpeXNoJ1gCAAAAU21x9WgpXXH2KEdAF4tOu69re0dAGKGpEoZNE0dABcMVoDjIHGV1fXH3KGgdXXH4fXH5KGggaJdoIksBdWFoI11x+ihHP9yKs3e8JDNHP+aU1oErjqRHP+yFmiiKuKtlaBh9cftoJkc/cGJN0vGp/HNoJ1gCAAAAU21x/GgpXXH9KEdAB9HGqcw0sEdALEE66P/xZkc/hDZJxPaKAGV1fXH+KGgdXXH/fXIAAQAAKGggaJdoIksBdWFoI11yAQEAAChHP+4pgoVV6sNHP+aqk4yPRQJHP+yGbyqFObtlaBh9cgIBAABoJkc/eJN0vGp++nNoJ1gCAAAAU21yAwEAAGgpXXIEAQAAKEdACBHPkt6fSkdALEMMGby2nUdAFXCo3OAzd2V1fXIFAQAAKGgdXXIGAQAAfXIHAQAAKGggWAIAAABDb3IIAQAAaCJLAXVhaCNdcgkBAAAoRz95v/JI3T6KRz8ziyIyhOJ9Rz9idSKW2MoGZWgYfXIKAQAAaCZHQAQan752yLRzaCdYAgAAAENvcgsBAABoKV1yDAEAAChHv4NrpepifJlHP6JL3alKrshHP6x4l90bLSBldX1yDQEAAChoHV1yDgEAAH1yDwEAAChoIGoIAQAAaCJLAXVhaCNdchABAAAoRz+AHiQtW9jERz/v/oVmsbrORz/gB8J8O+W0ZWgYfXIRAQAAaCZHQASFHrhR64VzaCdYAgAAAENvchIBAABoKV1yEwEAAChHQCErh5NnHBJHQB/ApQbwcUBHwATc5br76oZldX1yFAEAAChoHV1yFQEAAH1yFgEAAChoIGoIAQAAaCJLAXVhaCNdchcBAAAoRz90Grxu26rhRz/gC30r+q+0Rz9DLsZnAheyZWgYfXIYAQAAaCZHQATO2RaHKwJzaCdYAgAAAENvchkBAABoKV1yGgEAAChHQBb4KBZoanNHP4FNPEKO0g1HP6qAKlvjXklldX1yGwEAAChoHV1yHAEAAH1yHQEAAChoIGoIAQAAaCJLAXVhaCNdch4BAAAoRz9wrK3zbctgRz/f6BHB9FaqRz/frX/1rphZZWgYfXIfAQAAaCZHQASLQ5WBBiVzaCdYAgAAAENvciABAABoKV1yIQEAAChHQAcADwpjfCpHQB9gZriQBvJHwATy6yaeVhZldX1yIgEAAChoHV1yIwEAAH1yJAEAAChoIGoIAQAAaCJLAXVhaCNdciUBAAAoRz/gTjKoc9IKRz9S3mmCT6YGRz98xFPXbY+lZWgYfXImAQAAaCZHQARWBBiTdLxzaCdYAgAAAENvcicBAABoKV1yKAEAAChHv5o0o01qwKNHP70BqgEARuNHQBXPNVQY7a9ldX1yKQEAAChoHV1yKgEAAH1yKwEAAChoIGoIAQAAaCJLAXVhaCNdciwBAAAoRz/gHenAIppfRz/v6/5AYkXFRz/fzuzX2hwWZWgYfXItAQAAaCZHQARN0vGp++dzaCdYAgAAAENvci4BAABoKV1yLwEAAChHQCEqkdz3GWpHQB+Cphgc7n9HQAYKqRil5RFldX1yMAEAAChoHV1yMQEAAH1yMgEAAChoIGoIAQAAaCJLAXVhaCNdcjMBAAAoRz/gUUOJwowBRz/gFcq3ybBjRz94vG8xkRydZWgYfXI0AQAAaCZHQAQ9cKPXCj1zaCdYAgAAAENvcjUBAABoKV1yNgEAAChHQBboZWzu8aFHP7jL4LT5PFdHQBXa1i/GBcdldX1yNwEAAChoHV1yOAEAAH1yOQEAAChoIGoIAQAAaCJLAXVhaCNdcjoBAAAoRz/gIWBXrpKlRz/gBdhhgHiLRz/f1sH43k2pZWgYfXI7AQAAaCZHQART987ZFodzaCdYAgAAAENvcjwBAABoKV1yPQEAAChHQAcYfCg23XxHQB+LRX+F1b1HQAYKm8/UMYJldX1yPgEAAChoHV1yPwEAAH1yQAEAAChoIGoIAQAAaCJLAXVhaCNdckEBAAAoRz/Qfq+TKxWCRz/QMVDloK42Rz9tNXq2KZ0yZWgYfXJCAQAAaCZHQATXCj1wo9dzaCdYAgAAAENvckMBAABoKV1yRAEAAChHQAcJbVgZKnFHP607NKQZXtFHQAYSAa/VrQFldX1yRQEAAChoHV1yRgEAAH1yRwEAAChoIGoIAQAAaCJLAXVhaCNdckgBAAAoRz/QRPI361PMRz/PZ7DTx+i3Rz/fn0pIIq6BZWgYfXJJAQAAaCZHQAQKPXCj1wpzaCdYAgAAAENvckoBAABoKV1ySwEAAChHv5UZeMMwkYBHQB9TxF6egP1HP7SFnMmw72BldX1yTAEAAChoHV1yTQEAAH1yTgEAAChoIGoIAQAAaCJLAXVhaCNdck8BAAAoRz/QoP9UCJXRRz/oMApu7sskRz99SydFvybyZWgYfXJQAQAAaCZHQAQOVgQYk3VzaCdYAgAAAENvclEBAABoKV1yUgEAAChHQCE+I+vv6WtHP7zzWvQ8P1RHQAYc10tX0+9ldX1yUwEAAChoHV1yVAEAAH1yVQEAAChoIGoIAQAAaCJLAXVhaCNdclYBAAAoRz/QR9GFmTGVRz/n35muEXXJRz/frr97VYvOZWgYfXJXAQAAaCZHQARP3ztkWh1zaCdYAgAAAENvclgBAABoKV1yWQEAAChHQBbYnd78FcBHQB9iNiM8kT1HP7Q5GSnPfuBldX1yWgEAAChoHV1yWwEAAH1yXAEAAChoIGoIAQAAaCJLAXVhaCNdcl0BAAAoRz/oO3ZTGIDVRz/QHrt3OfNBRz9s6Gi0n1l3ZWgYfXJeAQAAaCZHQASJN0vGp/BzaCdYAgAAAENvcl8BAABoKV1yYAEAAChHQAbyNSlhv31HP63vYyDBa0JHQCBISWtLrP1ldX1yYQEAAChoHV1yYgEAAH1yYwEAAChoIGoIAQAAaCJLAXVhaCNdcmQBAAAoRz/oI8+dt4tyRz/QBCPRFYbQRz/f9xDjUh9dZWgYfXJlAQAAaCZHQATMzMzMzM1zaCdYAgAAAENvcmYBAABoKV1yZwEAAChHP3nCjFDfwgBHQB+strj4tElHQBXC+hHy4hRldX1yaAEAAChoHV1yaQEAAH1yagEAAChoIGoIAQAAaCJLAXVhaCNdcmsBAAAoRz/oL5go1jgFRz/n9TM9mhRpRz/v9IRxaU7OZWgYfXJsAQAAaCZHQAPnbItDlYFzaCdYAgAAAENvcm0BAABoKV1ybgEAAChHQAbZQvJebMRHQC+odwLGqEtHQAYq3wCtDsxldX1ybwEAAChoHV1ycAEAAH1ycQEAAChoIGoIAQAAaCJLAXVhaCNdcnIBAAAoRz/oJaUgYHKxRz/n/E7wfgHkRz/f8/q5GTu7ZWgYfXJzAQAAaCZHQARN0vGp++dzaCdYAgAAAENvcnQBAABoKV1ydQEAAChHQBbqanupbdZHQB+oym7baZpHQBXIjPgVTR5ldX1ydgEAAChoHV1ydwEAAH1yeAEAAChoIGoIAQAAaCJLAXVhaCNdcnkBAAAoRz+7Z0cMAxiORz+3jJ4IlCM4Rz/Ph0rNAtKYZWgYfXJ6AQAAaCZHQAUo9cKPXClzaCdYAgAAAENvcnsBAABoKV1yfAEAAChHv9bmSeOzwzRHQA878L/hB69Hv8YLs8Mn70hldX1yfQEAAChoHV1yfgEAAH1yfwEAAChoIGoIAQAAaCJLAXVhaCNdcoABAAAoRz+6l3IiBmUfRz+5da4s+YhCRz/oF+BROQKrZWgYfXKBAQAAaCZHQAUUeuFHrhRzaCdYAgAAAENvcoIBAABoKV1ygwEAAChHwAlqNPJ7Wo5HQCfeASLejL1HwAd3x8bUZtpldX1yhAEAAChoHV1yhQEAAH1yhgEAAChoIGoIAQAAaCJLAXVhaCNdcocBAAAoRz+7rTw4wGXhRz/jAXYhxUymRz/Pk0oJuWc/ZWgYfXKIAQAAaCZHQAUtDlYEGJNzaCdYAgAAAENvcokBAABoKV1yigEAAChHQBWRVeMWoNpHQA9GF2KAUSNHv8SQ9ruWf4BldX1yiwEAAChoHV1yjAEAAH1yjQEAAChoIGoIAQAAaCJLAXVhaCNdco4BAAAoRz/jJrHlwLmZRz+32pkTNul2Rz/Pa3s4sHWpZWgYfXKPAQAAaCZHQAUYk3S8an9zaCdYAgAAAENvcpABAABoKV1ykQEAAChHv9WfzQ7hfBBHQA8kU4ocarZHQBSCWYO+iKJldX1ykgEAAChoHV1ykwEAAH1ylAEAAChoIGoIAQAAaCJLAXVhaCNdcpUBAAAoRz/jnMDmDr0yRz+4PVNymM7DRz/oDEMp9kicZWgYfXKWAQAAaCZHQAUo9cKPXClzaCdYAgAAAENvcpcBAABoKV1ymAEAAChHwAnGY7ZCrwRHQCfThiNjPqhHQAR33HFAo2ZldX1ymQEAAChoHV1ymgEAAH1ymwEAAChoIGoIAQAAaCJLAXVhaCNdcpwBAAAoRz/jTHi5pSfCRz/i+rXujulnRz/PlHWYXYRrZWgYfXKdAQAAaCZHQAUtDlYEGJNzaCdYAgAAAENvcp4BAABoKV1ynwEAAChHQBWI7Tnax0JHQA9LOJ1NT6lHQBSwZw+d+zpldX1yoAEAAChoHV1yoQEAAH1yogEAAChoIGoIAQAAaCJLAXVhaCNdcqMBAAAoRz/jyNE6RMpfRz/jM/9Q2IqbRz/oHdGs22rKZWgYfXKkAQAAaCZHQAVFocrAgxJzaCdYAgAAAENvcqUBAABoKV1ypgEAAChHQAR1uRsZovBHQCfkfOY20p5HQATbG14Uiv5ldX1ypwEAAChoHV1yqAEAAH1yqQEAAChoIGoIAQAAaCJLAXVhaCNdcqoBAAAoRz/WzLC9d5pARz/aEJYwAqckRz/Pn4jcXQ2iZWgYfXKrAQAAaCZHQAUrAgxJul5zaCdYAgAAAENvcqwBAABoKV1yrQEAAChHQAoC/OMoU91HQA9U28PsfudHQAQUoxAqX4BldX1yrgEAAChoHV1yrwEAAH1ysAEAAChoIGoIAQAAaCJLAXVhaCNdcrEBAAAoRz/W9DaIqC+0Rz/s9jsqzl/KRz/Pq2eiUKJaZWgYfXKyAQAAaCZHQAU/fO2RaHNzaCdYAgAAAENvcrMBAABoKV1ytAEAAChHQCHoT+K+oOxHQA9e6K7XNSZHQARJ/cvB3UJldX1ytQEAAChoHV1ytgEAAH1ytwEAAChoIGoIAQAAaCJLAXVhaCNdcrgBAAAoRz/rXtTiGhD4Rz/Zup3V6VYaRz/PZXNMUundZWgYfXK5AQAAaCZHQAUtDlYEGJNzaCdYAgAAAENvcroBAABoKV1yuwEAAChHQAmfn6o6S1JHQA8fVt3/VgNHQB+WjCiJHoJldX1yvAEAAChoHV1yvQEAAH1yvgEAAChoIGoIAQAAaCJLAXVhaCNdcr8BAAAoRz/rggC2M1hHRz/aJ01hXLxERz/oG8zKSI4OZWgYfXLAAQAAaCZHQAUxJul41P5zaCdYAgAAAENvcsEBAABoKV1ywgEAAChHP9doWn3OMBBHQCfjIzf0jdpHQBTVC37U5KZldX1ywwEAAChoHV1yxAEAAH1yxQEAAChoIGoIAQAAaCJLAXVhaCNdcsYBAAAoRz/rkeoH8RAjRz/s+MJpRpWRRz/oFQPzKa3OZWgYfXLHAQAAaCZHQAVBiTdLxqhzaCdYAgAAAENvcsgBAABoKV1yyQEAAChHQBg//hx11/5HQCfb/WLqB9RHQBTxGDvdbGxldX1yygEAAChoHV1yywEAAH1yzAEAAChoIFgCAAAAQWdyzQEAAGgiSwF1YWgjXXLOAQAAKEc/vtYSRdLIDkc/49tZl/bXN0c/6BgVVVHBE2VoGH1yzwEAAGgmRz+QYk3S8an8c2gnWAIAAABBZ3LQAQAAaCldctEBAAAoR0AGWmtIcFqaR0An3cpuebWWR8AGBd/lYOgCZXV9ctIBAAAoaB1dctMBAAB9ctQBAAAoaCBqzQEAAGgiSwF1YWgjXXLVAQAAKEc/1+iY0HDxL0c/2I/9g87XE0c/6A3uNPxhD2VoGH1y1gEAAGgmRz+QYk3S8an8c2gnWAIAAABBZ3LXAQAAaCldctgBAAAoRz+20zu9segAR0An1HIuSjfiR7+UY0kWkf8AZXV9ctkBAAAoaB1dctoBAAB9ctsBAAAoaCBqzQEAAGgiSwF1YWgjXXLcAQAAKEc/12f4YdEAY0c/7D1IGiARw0c/6A+p7CInnWVoGH1y3QEAAGgmRz+OuFHrhR64c2gnWAIAAABBZ3LeAQAAaCldct8BAAAoR0AXNc+mFXxNR0An1bbwVLfdR7+6hw8HkqZgZXV9cuABAAAoaB1dcuEBAAB9cuIBAAAoaCBqzQEAAGgiSwF1YWgjXXLjAQAAKEc/67ue96dr6kc/7EUCAo6loEc/z568g6ltTGVoGH1y5AEAAGgmRz+QYk3S8an8c2gnWAIAAABBZ3LlAQAAaCldcuYBAAAoR0Aha0Yp9Bk0R0APVoHC3M7eR0AgBe+9nMWvZXV9cucBAAAoaB1dcugBAAB9cukBAAAoaCBYAQAAAE9y6gEAAGgiSwF1YWgjXXLrAQAAKEc/vycMCHbx+kc/vPS60nlfEkc/3qEKBhM/eGVoGH1y7AEAAGgmRz+gYk3S8an8c2gnauoBAABoKV1y7QEAAChHv/com2/X5xFHQB5Xmt+roc1Hv/Q8FOwbtItldX1y7gEAAChoHV1y7wEAAH1y8AEAAChoIGrqAQAAaCJLAXVhaCNdcvEBAAAoRz+/AXDuVLHeRz++R3Ivcl5sRz/viXQXqerLZWgYfXLyAQAAaCZHP6kWhysCDEpzaCdq6gEAAGgpXXLzAQAAKEfAES3Wsgqyn0dALz2uwdsxvUfAD/+rZ+3h5mV1fXL0AQAAKGgdXXL1AQAAfXL2AQAAKGggauoBAABoIksBdWFoI11y9wEAAChHP733mVQkb3ZHP+OhBd8SHrxHP94zHuZKIWFlaBh9cvgBAABoJkc/qyLQ5WBBiXNoJ2rqAQAAaCldcvkBAAAoR0ARS9P+TnNER0Ad6dVZgTcXR7/0bDjbXI2UZXV9cvoBAAAoaB1dcvsBAAB9cvwBAAAoaCBq6gEAAGgiSwF1YWgjXXL9AQAAKEc/vikyKHE4Ukc/5Ai7NR/HcUc/74a9Y84wpWVoGH1y/gEAAGgmRz+njU/fO2Rac2gnauoBAABoKV1y/wEAAChHP/hqbS22MvhHQC86jB2vj+JHwBAgUGBMsttldX1yAAIAAChoHV1yAQIAAH1yAgIAAChoIGrqAQAAaCJLAXVhaCNdcgMCAAAoRz/j0Dove8ObRz++CNcUI3iARz/e5cpJurQbZWgYfXIEAgAAaCZHP6ysCDEm6XlzaCdq6gEAAGgpXXIFAgAAKEe/9r99RNdzO0dAHp2yOrD4/EdAEEql4+8E+2V1fXIGAgAAKGgdXXIHAgAAfXIIAgAAKGggauoBAABoIksBdWFoI11yCQIAAChHP+PsliCTSHJHP77lHM/EeOtHP++XImDS/pVlaBh9cgoCAABoJkc/pocrAgxJunNoJ2rqAQAAaCldcgsCAAAoR8ARGexP7/hAR0AvTDzfqnGVRz/2URw0KDogZXV9cgwCAAAoaB1dcg0CAAB9cg4CAAAoaCBq6gEAAGgiSwF1YWgjXXIPAgAAKEc/48LED7ncWkc/4+MrmQr+YUc/3t0/a3rNUWVoGH1yEAIAAGgmRz+ibpeNT987c2gnauoBAABoKV1yEQIAAChHQBFvGe29kfJHQB6UWkszTb1HQBA9ei3muNxldX1yEgIAAChoHV1yEwIAAH1yFAIAAChoIGrqAQAAaCJLAXVhaCNdchUCAAAoRz/jy59rFMvqRz/jyzfsgHFVRz/vXFwsJc3FZWgYfXIWAgAAaCZHP5aHKwIMSbpzaCdq6gEAAGgpXXIXAgAAKEc/94lsxIXLgEdALxGTgA1SCEc/9kX1YwVfwGV1fXIYAgAAKGgdXXIZAgAAfXIaAgAAKGggauoBAABoIksBdWFoI11yGwIAAChHP8HTZRdb5zFHP9iedngsYYhHP5mCV7ObIoZlaBh9chwCAABoJkc/sGJN0vGp/HNoJ2rqAQAAaCldch0CAAAoR0ARD/25bjZ7Rz/ZQzFEeWHARz/14y42Oy75ZXV9ch4CAAAoaB1dch8CAAB9ciACAAAoaCBq6gEAAGgiSwF1YWgjXXIhAgAAKEc/wTXu+kkxzUc/2BMMYbgr1kc/4E9Q61T4KmVoGH1yIgIAAGgmRz+h64UeuFHsc2gnauoBAABoKV1yIwIAAChHP/Y4CoUh/lxHQCAoACoFOGNHv/SyA2EJ/sVldX1yJAIAAChoHV1yJQIAAH1yJgIAAChoIGrqAQAAaCJLAXVhaCNdcicCAAAoRz/B2HJHcCwNRz/sWl3/j5e4Rz+XsJ4YA4HrZWgYfXIoAgAAaCZHP5qfvnbItDlzaCdq6gEAAGgpXXIpAgAAKEdAJAq/YxRd/Ec/12fwAzuKcUc/9hlzyxhsfWV1fXIqAgAAKGgdXXIrAgAAfXIsAgAAKGggauoBAABoIksBdWFoI11yLQIAAChHP8IPikwevIRHP+wrhCJkAwpHP+ChfrWSnn5laBh9ci4CAABoJkc/qyLQ5WBBiXNoJ2rqAQAAaCldci8CAAAoR0AcbvI+mLzdR0AgePuVNCXWR7/0YckvrakEZXV9cjACAAAoaB1dcjECAAB9cjICAAAoaCBq6gEAAGgiSwF1YWgjXXIzAgAAKEc/5JrvNIC7Jkc/2K2rHnxB8Ec/nWjSp1dHZWVoGH1yNAIAAGgmRz+oEGJN0vGqc2gnauoBAABoKV1yNQIAAChHQBEGBMDh/6RHP91AnyVome1HQBsjslgQsNdldX1yNgIAAChoHV1yNwIAAH1yOAIAAChoIGrqAQAAaCJLAXVhaCNdcjkCAAAoRz/kVF8ielNYRz/YftqxO/eoRz/ggGSO9dGpZWgYfXI6AgAAaCZHP6wo9cKPXClzaCdq6gEAAGgpXXI7AgAAKEc/9uYlmdIxTkdAIFmdKWACuEdAEEhgZnrNEGV1fXI8AgAAKGgdXXI9AgAAfXI+AgAAKGggauoBAABoIksBdWFoI11yPwIAAChHP+SabUlZkD9HP+xAov2bdr5HP5v3SU0l+I1laBh9ckACAABoJkc/nbItDlYEGXNoJ2rqAQAAaCldckECAAAoR0Aj7M98+3sxRz/bxL/8tDCLR0AbLNc6LawFZXV9ckICAAAoaB1dckMCAAB9ckQCAAAoaCBq6gEAAGgiSwF1YWgjXXJFAgAAKEc/5D36ofItr0c/7A02CPt8OEc/4IL2yqIlLmVoGH1yRgIAAGgmRz+keuFHrhR7c2gnauoBAABoKV1yRwIAAChHQBxa4N6u6G5HQCBbuh3YWqBHQBAqh786ftZldX1ySAIAAChoHV1ySQIAAH1ySgIAAChoIGrqAQAAaCJLAXVhaCNdcksCAAAoRz/XWagcvyh0Rz+65tq//4njRz/eUIRHIf2BZWgYfXJMAgAAaCZHP6LxqfvnbItzaCdq6gEAAGgpXXJNAgAAKEe/+CruliauFkdAHgjUAuRPwkc/9htg5zEeWmV1fXJOAgAAKGgdXXJPAgAAfXJQAgAAKGggauoBAABoIksBdWFoI11yUQIAAChHP9eMK1x6KWdHP7xBbDEAqPJHP++JARWptXFlaBh9clICAABoJkc/qp++dsi0OXNoJ2rqAQAAaCldclMCAAAoR8ARiYke/WkGR0AvPb02FZZaR7/1caWPVhtkZXV9clQCAAAoaB1dclUCAAB9clYCAAAoaCBq6gEAAGgiSwF1YWgjXXJXAgAAKEc/18BdqKepfUc/46C/3lHaaEc/3k3G/X/y/2VoGH1yWAIAAGgmRz+mhysCDEm6c2gnauoBAABoKV1yWQIAAChHQBFCo5y+3zpHQB4FQfjnuXlHP/c8IzxhTQJldX1yWgIAAChoHV1yWwIAAH1yXAIAAChoIGrqAQAAaCJLAXVhaCNdcl0CAAAoRz/X/9Yuy0SMRz/j0lQq+n+NRz/vryusgSfeZWgYfXJeAgAAaCZHP5ul41P3ztlzaCdq6gEAAGgpXXJfAgAAKEc/9sHfqXuJaEdAL2MefuDViUe/9JhirGv/xGV1fXJgAgAAKGgdXXJhAgAAfXJiAgAAKGggauoBAABoIksBdWFoI11yYwIAAChHP+vYWLxZuAJHP71Jc2Z/EABHP970i4KqlL9laBh9cmQCAABoJkc/rjU/fO2RaHNoJ2rqAQAAaCldcmUCAAAoR7/3WrqJIpCuR0AerVLEzd7QR0AbFugT1GasZXV9cmYCAAAoaB1dcmcCAAB9cmgCAAAoaCBq6gEAAGgiSwF1YWgjXXJpAgAAKEc/68SHXlil3kc/vDvUQYs6sUc/73jpm2Sf6GVoGH1yagIAAGgmRz+lgQYk3S8bc2gnauoBAABoKV1yawIAAChHwBF9hPxjFG5HQC8uzOg3jNNHQBA462lSxyZldX1ybAIAAChoHV1ybQIAAH1ybgIAAChoIGrqAQAAaCJLAXVhaCNdcm8CAAAoRz/rw79ntG8zRz/jr9KWD3ZrRz/etVhm9FXTZWgYfXJwAgAAaCZHP6mZmZmZmZpzaCdq6gEAAGgpXXJxAgAAKEdAETSXrtZHWkdAHm3Wv61P5EdAGxJ/kuZ/5WV1fXJyAgAAKGgdXXJzAgAAfXJ0AgAAKGggauoBAABoIksBdWFoI11ydQIAAChHP+ugrDJ4eDdHP+NtUdfkAh5HP+8cyxyecUVlaBh9cnYCAABoJkc/p41P3ztkWnNoJ2rqAQAAaCldcncCAAAoRz/2KI8CjHwYR0Au0xuQDbHoR0AQSKtdClibZXV9cngCAAAoaB1dcnkCAAB9cnoCAAAoaCBq6gEAAGgiSwF1YWgjXXJ7AgAAKEc/2SDQRKZ4JEc/2Rd/jf+yfUc/nQRZKxSAwWVoGH1yfAIAAGgmRz+rpeNT987Zc2gnauoBAABoKV1yfQIAAChHQBFTUVOz0IdHP9zMzDV0BJFHQBBRW5ZlCnxldX1yfgIAAChoHV1yfwIAAH1ygAIAAChoIGrqAQAAaCJLAXVhaCNdcoECAAAoRz/YpRaFJ5ynRz/YqyxpFJaQRz/gZlBr/irpZWgYfXKCAgAAaCZHP6Jul41P3ztzaCdq6gEAAGgpXXKDAgAAKEc/96zmPP4zQEdAID9G0r7Q0kc/9kSzONXvSmV1fXKEAgAAKGgdXXKFAgAAfXKGAgAAKGggauoBAABoIksBdWFoI11yhwIAAChHP9lIcyubujBHP+ygpEUZObhHP6Dymz2IoaVlaBh9cogCAABoJkc/om6XjU/fO3NoJ2rqAQAAaCldcokCAAAoR0AkIDOqfQTURz/gyg+/IyRUR0AQU93pW0f5ZXV9cooCAAAoaB1dcosCAAB9cowCAAAoaCBq6gEAAGgiSwF1YWgjXXKNAgAAKEc/2LpXqjX0A0c/7Cq5sj3VTkc/4FTfoI8BOmVoGH1yjgIAAGgmRz+ibpeNT987c2gnauoBAABoKV1yjwIAAChHQByldJt5fiJHQCAtksnU5+BHP/a1FM9iZ5pldX1ykAIAAChoHV1ykQIAAH1ykgIAAChoIGrqAQAAaCJLAXVhaCNdcpMCAAAoRz/savJHBMxDRz/Y6W0BCkEiRz+V5DTIXqkDZWgYfXKUAgAAaCZHP60vGp++dslzaCdq6gEAAGgpXXKVAgAAKEdAEVylhk4GrUc/1d2oIA0zSkdAIujs5wTV5WV1fXKWAgAAKGgdXXKXAgAAfXKYAgAAKGggauoBAABoIksBdWFoI11ymQIAAChHP+xONEs2NEVHP9iu3Tgp6AZHP+B3qyzp7fBlaBh9cpoCAABoJkc/rKwIMSbpeXNoJ2rqAQAAaCldcpsCAAAoRz/3i6ho61x8R0AgUXgAD/MqR0AbDECZQ/uaZXV9cpwCAAAoaB1dcp0CAAB9cp4CAAAoaCBq6gEAAGgiSwF1YWgjXXKfAgAAKEc/7Gh2i/hxQEc/7GHCrY8Z5Ec/kltqieGVsmVoGH1yoAIAAGgmRz+Yk3S8an76c2gnauoBAABoKV1yoQIAAChHQCQgcTBGPmRHP9JPia5df/dHQCLxy56Ido1ldX1yogIAAChoHV1yowIAAH1ypAIAAChoIGrqAQAAaCJLAXVhaCNdcqUCAAAoRz/sYDQyt41LRz/sSCXupxIoRz/gjtHlD46+ZWgYfXKmAgAAaCZHP6mZmZmZmZpzaCdq6gEAAGgpXXKnAgAAKEdAHKeO8rUDSkdAIGf5fKK8nkdAGxb6B5bBM2V1fXKoAgAAKGgdXXKpAgAAfXKqAgAAKGggauoBAABoIksBdWFoI11yqwIAAChHP7lEra76U+9HP7z7GI+Y5L5HP8HTsABjUjVlaBh9cqwCAABoJkc/t0vGp++dsnNoJ2rqAQAAaCldcq0CAAAoRz/f8BzarEweR0ABqSz2x1N+Rz/UHEI9LluOZXV9cq4CAAAoaB1dcq8CAAB9crACAAAoaCBq6gEAAGgiSwF1YWgjXXKxAgAAKEc/tmJmJqWGN0c/usDj4GSvLEc/5Hu6EAazTWVoGH1ysgIAAGgmRz+0/fO2RaHLc2gnauoBAABoKV1yswIAAChHwAPHDkWONJRHQCRKgc0X3QFHwAQGqz/O75NldX1ytAIAAChoHV1ytQIAAH1ytgIAAChoIGrqAQAAaCJLAXVhaCNdcrcCAAAoRz+4oyNbI+gSRz/jpBGHkdozRz/ByxGLw5gbZWgYfXK4AgAAaCZHP7bItDlYEGJzaCdq6gEAAGgpXXK5AgAAKEdAGPJfNskcaUdAAZ7hfwKG40c/0qFzwUel7GV1fXK6AgAAKGgdXXK7AgAAfXK8AgAAKGggauoBAABoIksBdWFoI11yvQIAAChHP7Xrz8dTEEhHP+NfVfaBpwpHP+PxWa8d5UNlaBh9cr4CAABoJkc/om6XjU/fO3NoJ2rqAQAAaCldcr8CAAAoR0AK6jfyBBUYR0AjwP5UTTv9R8ADcDpNlKzoZXV9csACAAAoaB1dcsECAAB9csICAAAoaCBq6gEAAGgiSwF1YWgjXXLDAgAAKEc/40NFVHLz6Ec/vb6ORaiAvUc/witUgg1g52VoGH1yxAIAAGgmRz+2hysCDEm6c2gnauoBAABoKV1yxQIAAChHP+CeXz4FhkNHQAIEBJ6O4NhHQBbjk0g0/EhldX1yxgIAAChoHV1yxwIAAH1yyAIAAChoIGrqAQAAaCJLAXVhaCNdcskCAAAoRz/i21xyG9FCRz+7cKF9vpyzRz/kcRbjxzo8ZWgYfXLKAgAAaCZHP7WBBiTdLxtzaCdq6gEAAGgpXXLLAgAAKEfAA3XkvN1S9UdAJED5GV3iFUdAB0lv1bFgEGV1fXLMAgAAKGgdXXLNAgAAfXLOAgAAKGggauoBAABoIksBdWFoI11yzwIAAChHP+M1Wa5yGMxHP+OmCT6YFjdHP8IPhoXAnsFlaBh9ctACAABoJkc/tsi0OVgQYnNoJ2rqAQAAaCldctECAAAoR0AY6mwm5XYxR0AB5rvPTYXxR0AW15A8GSVqZXV9ctICAAAoaB1dctMCAAB9ctQCAAAoaCBq6gEAAGgiSwF1YWgjXXLVAgAAKEc/4tK5CngpB0c/44pnfObbbEc/5G7s/W7WImVoGH1y1gIAAGgmRz+0vGp++dsjc2gnauoBAABoKV1y1wIAAChHQAq0l7jqJ5VHQCQ+ZAzhA+ZHQAc5Prp4zmBldX1y2AIAAChoHV1y2QIAAH1y2gIAAChoIGrqAQAAaCJLAXVhaCNdctsCAAAoRz/crzpVO3DERz/ZA6qZ8gQURz/W1tW6MT68ZWgYfXLcAgAAaCZHP7dLxqfvnbJzaCdq6gEAAGgpXXLdAgAAKEdAA3j5FrDPgEdAFqD6X/DO6EdAB0b0UADOSGV1fXLeAgAAKGgdXXLfAgAAfXLgAgAAKGggauoBAABoIksBdWFoI11y4QIAAChHP939VLS4LgRHP9lHlB4EotJHP+wlqTdGaERlaBh9cuICAABoJkc/ovGp++dsi3NoJ2rqAQAAaCldcuMCAAAoR7/gfpA6c1+AR0Ar4oGCHPPHRz/UL3diTmjQZXV9cuQCAAAoaB1dcuUCAAB9cuYCAAAoaCBq6gEAAGgiSwF1YWgjXXLnAgAAKEc/3Kp2q9jhWEc/7HR8E0viLEc/1vD5fNkZjGVoGH1y6AIAAGgmRz+2yLQ5WBBic2gnauoBAABoKV1y6QIAAChHQCBFj2mf7txHQBa6AYt2X71HQAczEjNFP/BldX1y6gIAAChoHV1y6wIAAH1y7AIAAChoIGrqAQAAaCJLAXVhaCNdcu0CAAAoRz/eUi1UIRR4Rz/snLDlu4YoRz/sJs5QWotnZWgYfXLuAgAAaCZHP6T987ZFoctzaCdq6gEAAGgpXXLvAgAAKEdAFNBUOPcnzEdAK+M3psdVkEc/19ZbZMFvcGV1fXLwAgAAKGgdXXLxAgAAfXLyAgAAKGggauoBAABoIksBdWFoI11y8wIAAChHP+4ewiJ50n9HP9kSAVST1gtHP9bdEb5uZThlaBh9cvQCAABoJkc/tgQYk3S8anNoJ2rqAQAAaCldcvUCAAAoR0ADi/lIpwPwR0AWqSDpUo0GR0AgcLQu6x8kZXV9cvYCAAAoaB1dcvcCAAB9cvgCAAAoaCBq6gEAAGgiSwF1YWgjXXL5AgAAKEc/7mZ7REP8r0c/2PiYTOhmBUc/656u0eUPj2VoGH1y+gIAAGgmRz+1P3ztkWhzc2gnauoBAABoKV1y+wIAAChHv95jjMY5ClBHQCtdxBHON35HQBZdaDh+wwtldX1y/AIAAChoHV1y/QIAAH1y/gIAAChoIGrqAQAAaCJLAXVhaCNdcv8CAAAoRz/u86RnfeiORz/snhbW3BpIRz/X7L97q3IJZWgYfXIAAwAAaCZHP6N0vGp++dtzaCdq6gEAAGgpXXIBAwAAKEdAIDcEw3BVGUdAF7V8IZ7qJ0dAINNmH8c1R2V1fXICAwAAKGgdXXIDAwAAfXIEAwAAKGggauoBAABoIksBdWFoI11yBQMAAChHP+6pwQl1HrtHP+yCnQiO78dHP+udAystqzRlaBh9cgYDAABoJkc/tocrAgxJunNoJ2rqAQAAaCldcgcDAAAoR0AVDys+M1p6R0ArW7Fu2YxpR0AWuzT5dQnDZXV9cggDAAAoaB1dcgkDAAB9cgoDAAAoaCBq6gEAAGgiSwF1YWgjXXILAwAAKEc/1lDw88iPJUc/0dkslwzMbEc/wg48Q1I6NWVoGH1yDAMAAGgmRz+4EGJN0vGqc2gnauoBAABoKV1yDQMAAChHQAMaolb5lXxHQAHkmh+uj8hHQAf9fvUtfBpldX1yDgMAAChoHV1yDwMAAH1yEAMAAChoIGrqAQAAaCJLAXVhaCNdchEDAAAoRz/Vas2JClVDRz/RVEATa2y2Rz/j6NlSlyajZWgYfXISAwAAaCZHP6T987ZFoctzaCdq6gEAAGgpXXITAwAAKEe/3ak3jEs/wEdAI7lcgKwNfEc/0HpYHmrp+GV1fXIUAwAAKGgdXXIVAwAAfXIWAwAAKGggauoBAABoIksBdWFoI11yFwMAAChHP9XornTy8SRHP+jMZY6lHt5HP8IHIVxxGh9laBh9chgDAABoJkc/t0vGp++dsnNoJ2rqAQAAaCldchkDAAAoR0AgJcq4yRasR0AB28qQTnHwR0AHd5IKpjekZXV9choDAAAoaB1dchsDAAB9chwDAAAoaCBq6gEAAGgiSwF1YWgjXXIdAwAAKEc/1ipz3HCuv0c/6JkRbpJZ30c/4/ej9hPt9GVoGH1yHgMAAGgmRz+jdLxqfvnbc2gnauoBAABoKV1yHwMAAChHQBTtjCX9gRpHQCPHmvPl54BHP9gM/tt5csBldX1yIAMAAChoHV1yIQMAAH1yIgMAAChoIGrqAQAAaCJLAXVhaCNdciMDAAAoRz/rNy1ow+PFRz/Rxva0fMnVRz/Bu4Zo5UbBZWgYfXIkAwAAaCZHP7fO2RaHKwJzaCdq6gEAAGgpXXIlAwAAKEdAAyErdUppGkdAAZayGoWLnkdAINaIKr/gCmV1fXImAwAAKGgdXXInAwAAfXIoAwAAKGggauoBAABoIksBdWFoI11yKQMAAChHP+qdj8hff8JHP9IpueK6SehHP+R78KFoRQ5laBh9cioDAABoJkc/tgQYk3S8anNoJ2rqAQAAaCldcisDAAAoR7/amf+dp6ggR0AkTA3i+oqIR0AWETbJl09QZXV9ciwDAAAoaB1dci0DAAB9ci4DAAAoaCBq6gEAAGgiSwF1YWgjXXIvAwAAKEc/6yFnqVyFPEc/6GGIe2QkbUc/v3FwWrD7i2VoGH1yMAMAAGgmRz+njU/fO2Rac2gnauoBAABoKV1yMQMAAChHQCAO5iun9xRHP/8uDvVjnq1HQCD0LD6W5h1ldX1yMgMAAChoHV1yMwMAAH1yNAMAAChoIGrqAQAAaCJLAXVhaCNdcjUDAAAoRz/qsySKeOpNRz/pBmM2WzDTRz/keeHTbyhXZWgYfXI2AwAAaCZHP7YEGJN0vGpzaCdq6gEAAGgpXXI3AwAAKEdAFS4+wdPijkdAJEmWuzFitUdAFjG5vBCnkGV1fXI4AwAAKGgdXXI5AwAAfXI6AwAAKGggauoBAABoIksBdWFoI11yOwMAAChHP8mdcX/1AsxHP8vGFLdHKYpHP9bavqfw9UtlaBh9cjwDAABoJkc/tcKPXCj1w3NoJ2rqAQAAaCldcj0DAAAoRz/cIoiS1SdAR0AWpCiTh6G7Rz/OCz5NoBo4ZXV9cj4DAAAoaB1dcj8DAAB9ckADAAAoaCBq6gEAAGgiSwF1YWgjXXJBAwAAKEc/ya//YZ+CPEc/zFZA6dUbUEc/66ZzZv/pWmVoGH1yQgMAAGgmRz+0/fO2RaHLc2gnauoBAABoKV1yQwMAAChHwANVS5bjkWVHQCtkGwKTABtHwAPn+FNAdBFldX1yRAMAAChoHV1yRQMAAH1yRgMAAChoIGrqAQAAaCJLAXVhaCNdckcDAAAoRz/KE4GSEOQpRz/nAx2WvsjTRz/WvTtqDmagZWgYfXJIAwAAaCZHP7aHKwIMSbpzaCdq6gEAAGgpXXJJAwAAKEdAGNESCRNL5kdAFoYRBQRbCkc/0kHENkJeZGV1fXJKAwAAKGgdXXJLAwAAfXJMAwAAKGggauoBAABoIksBdWFoI11yTQMAAChHP8y4THen10pHP+ecUDf7xN1HP+woJvW4KHtlaBh9ck4DAABoJkc/pHrhR64Ue3NoJ2rqAQAAaCldck8DAAAoR0ALSTaKceqQR0Ar5C/SnzPuR8ACh3pwInhlZXV9clADAAAoaB1dclEDAAB9clIDAAAoaCBq6gEAAGgiSwF1YWgjXXJTAwAAKEc/5jNTmdsH+Uc/y5od42rI90c/1uCk8OWwyWVoGH1yVAMAAGgmRz+1wo9cKPXDc2gnauoBAABoKV1yVQMAAChHP9scR1fr0oBHQBar+8arOGFHQBY04PwUZQtldX1yVgMAAChoHV1yVwMAAH1yWAMAAChoIGrqAQAAaCJLAXVhaCNdclkDAAAoRz/mgAeMvDuFRz/MhFKgCvfWRz/rnLyplA2UZWgYfXJaAwAAaCZHP7U/fO2RaHNzaCdq6gEAAGgpXXJbAwAAKEfAAyNkKsm7NUdAK1t9HML5iUdAB3RERAR1kmV1fXJcAwAAKGgdXXJdAwAAfXJeAwAAKGggauoBAABoIksBdWFoI11yXwMAAChHP+Ymd12viJlHP+bzJVZ7t7FHP9boK5g0PsxlaBh9cmADAABoJkc/tocrAgxJunNoJ2rqAQAAaCldcmEDAAAoR0AYrEKcsZtyR0AWso/sSZHiR0AWIxnFUymfZXV9cmIDAAAoaB1dcmMDAAB9cmQDAAAoaCBq6gEAAGgiSwF1YWgjXXJlAwAAKEc/5r04BFNL10c/51JaNSqvK0c/66DVveIjS2VoGH1yZgMAAGgmRz+1gQYk3S8bc2gnauoBAABoKV1yZwMAAChHQAs6LWmBHm5HQCtfH8aZtX5HQAgXwqov/IBldX1yaAMAAChoHV1yaQMAAH1yagMAAChoIGrqAQAAaCJLAXVhaCNdcmsDAAAoRz/aBysMyRErRz+yv+yUk0p1Rz/PRF/rze7hZWgYfXJsAwAAaCZHP7kWhysCDEpzaCdq6gEAAGgpXXJtAwAAKEe/4ewWpNSuxkdADvwegrUntkdACImqiWw9G2V1fXJuAwAAKGgdXXJvAwAAfXJwAwAAKGggauoBAABoIksBdWFoI11ycQMAAChHP9tFVuG5GA9HP7aw9H8YY/pHP+gEkgBIJFxlaBh9cnIDAABoJkc/rztkWhysCHNoJ2rqAQAAaCldcnMDAAAoR8AKSmoka3H9R0Any4kCisX/Rz/hoplxNu2gZXV9cnQDAAAoaB1dcnUDAAB9cnYDAAAoaCBq6gEAAGgiSwF1YWgjXXJ3AwAAKEc/2mzlO1ibo0c/4mvWV7r87Ec/z9G5Gr5HTmVoGH1yeAMAAGgmRz+6n752yLQ5c2gnauoBAABoKV1yeQMAAChHQBSwu5AWfDZHQA+Gcdu1NalHQAjnRlt8OIZldX1yegMAAChoHV1yewMAAH1yfAMAAChoIGrqAQAAaCJLAXVhaCNdcn0DAAAoRz/botBPDVlaRz/jExsKcnS9Rz/oNbk6SNEqZWgYfXJ+AwAAaCZHP62yLQ5WBBlzaCdq6gEAAGgpXXJ/AwAAKEdAA/QfeB7XWEdAJ/vMJc5eTEc/4qJdPUPtIGV1fXKAAwAAKGgdXXKBAwAAfXKCAwAAKGggauoBAABoIksBdWFoI11ygwMAAChHP+1timHuMaFHP7cjtWbUoFZHP89SbndW+YxlaBh9coQDAABoJkc/r752yLQ5WHNoJ2rqAQAAaCldcoUDAAAoR7/XVKpTNcKIR0APDhiaU3t1R0AhLuvwqkfmZXV9coYDAAAoaB1dcocDAAB9cogDAAAoaCBq6gEAAGgiSwF1YWgjXXKJAwAAKEc/7SMR7b40A0c/sxjmVd/bckc/6ALJWKQGBGVoGH1yigMAAGgmRz+5WBBiTdLyc2gnauoBAABoKV1yiwMAAChHwAuOc5xeAMRHQCfKwEtHBJdHQBcWNjHjGmNldX1yjAMAAChoHV1yjQMAAH1yjgMAAChoIGrqAQAAaCJLAXVhaCNdco8DAAAoRz/tVQMBkiZeRz/iJy+p5sPERz/PQNkjnT4UZWgYfXKQAwAAaCZHP7mZmZmZmZpzaCdq6gEAAGgpXXKRAwAAKEdAFGnZwuNy5kdADvr/ye8380dAISDebuGm/mV1fXKSAwAAKGgdXXKTAwAAfXKUAwAAKGggauoBAABoIksBdWFoI11ylQMAAChHP+xIOuH+N1NHP+KXZ7XGy9dHP+guBQuClRtlaBh9cpYDAABoJkc/srAgxJul43NoJ2rqAQAAaCldcpcDAAAoR0ACn3kv1fnkR0An9RXB2385R0AV1HmqMMwtZXV9cpgDAAAoaB1dcpkDAAB9cpoDAAAoaCBq6gEAAGgiSwF1YWgjXXKbAwAAKEc/xPwPcAp/Ckc/2zNlMjPZzEc/zyQp62Dhl2VoGH1ynAMAAGgmRz+52yLQ5WBCc2gnauoBAABoKV1ynQMAAChHQAvOm+smlEpHQA7ZC2KjrzRHP91XNRXxvTxldX1yngMAAChoHV1ynwMAAH1yoAMAAChoIGrqAQAAaCJLAXVhaCNdcqEDAAAoRz/A7mMfigkDRz/aLaqoX7AURz/n/QTYrNTgZWgYfXKiAwAAaCZHP5aHKwIMSbpzaCdq6gEAAGgpXXKjAwAAKEc/2O+rjJKXsEdAJ8MwICHg8kfABN5aeMz13GV1fXKkAwAAKGgdXXKlAwAAfXKmAwAAKGggauoBAABoIksBdWFoI11ypwMAAChHP8VdauousnBHP+2YAbmTigtHP8/RxMO+3B5laBh9cqgDAABoJkc/uFHrhR64UnNoJ2rqAQAAaCldcqkDAAAoR0AiWHRNFMXGR0APg05xZyAURz/dsYDf0P3gZXV9cqoDAAAoaB1dcqsDAAB9cqwDAAAoaCBq6gEAAGgiSwF1YWgjXXKtAwAAKEc/wewikvzyWUc/7dXp0ZVed0c/6DZ571pAaGVoGH1yrgMAAGgmRz+zdLxqfvnbc2gnauoBAABoKV1yrwMAAChHQBlipkXJV6pHQCf7qqfWMy1HwAR8eRuWHqxldX1ysAMAAChoHV1ysQMAAH1ysgMAAChoIGrqAQAAaCJLAXVhaCNdcrMDAAAoRz/lPDIFCtbJRz/bPVAM3bP7Rz/PQ8URQZvXZWgYfXK0AwAAaCZHP7mZmZmZmZpzaCdq6gEAAGgpXXK1AwAAKEdAC9R1S0FgtEdADvxbSRCg6EdAF1jv/fjtgGV1fXK2AwAAKGgdXXK3AwAAfXK4AwAAKGggauoBAABoIksBdWFoI11yuQMAAChHP+VUbdCS//dHP9tpTsNci5xHP+gquUF/pyplaBh9croDAABoJkc/t0vGp++dsnNoJ2rqAQAAaCldcrsDAAAoRz/ijv0+d4dgR0An8YRZQatDR0AI8fV2Rbt0ZXV9crwDAAAoaB1dcr0DAAB9cr4DAAAoaCBq6gEAAGgiSwF1YWgjXXK/AwAAKEc/5DkUvtPlxkc/7ZMsMg0YbEc/z2jBtWyI6mVoGH1ywAMAAGgmRz+ybpeNT987c2gnauoBAABoKV1ywQMAAChHQCJfFywI5ahHQA8fAwpepmpHQBX3y7fQtCpldX1ywgMAAChoHV1ywwMAAH1yxAMAAChoIGrqAQAAaCJLAXVhaCNdcsUDAAAoRz/la10V2rK/Rz/tnzRt8MlWRz/oDpy7YhZLZWgYfXLGAwAAaCZHP7mZmZmZmZpzaCdq6gEAAGgpXXLHAwAAKEdAGTJtbLPlFEdAJ9U+dcYy2EdACVmvB+wvDGV1ZXVYBgAAAHRhcmdldHLIAwAARwAAAAAAAAAAdS5QSwcIqH+VJB9OAAAfTgAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAaABkAbWItbXAtZ2FwLTAxMjMzNS9ieXRlb3JkZXJGQhUAWlpaWlpaWlpaWlpaWlpaWlpaWlpabGl0dGxlUEsHCIU94xkGAAAABgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGAA0AG1iLW1wLWdhcC0wMTIzMzUvdmVyc2lvbkZCMABaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlozClBLBwjRnmdVAgAAAAIAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAACcAKQBtYi1tcC1nYXAtMDEyMzM1Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRGQiUAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjA2MzY0NTc3Mzc5NDY0MDEwNTEzMDAwMDAwMTM1NjE5OTIzNjYwMTZQSwcII11O0CgAAAAoAAAAUEsBAgAAAAAICAAAAAAAAKh/lSQfTgAAH04AABkAAAAAAAAAAAAAAAAAAAAAAG1iLW1wLWdhcC0wMTIzMzUvZGF0YS5wa2xQSwECAAAAAAgIAAAAAAAAhT3jGQYAAAAGAAAAGgAAAAAAAAAAAAAAAABvTgAAbWItbXAtZ2FwLTAxMjMzNS9ieXRlb3JkZXJQSwECAAAAAAgIAAAAAAAA0Z5nVQIAAAACAAAAGAAAAAAAAAAAAAAAAADWTgAAbWItbXAtZ2FwLTAxMjMzNS92ZXJzaW9uUEsBAgAAAAAICAAAAAAAACNdTtAoAAAAKAAAACcAAAAAAAAAAAAAAAAAUk8AAG1iLW1wLWdhcC0wMTIzMzUvLmRhdGEvc2VyaWFsaXphdGlvbl9pZFBLBgYsAAAAAAAAAB4DLQAAAAAAAAAAAAQAAAAAAAAABAAAAAAAAAAqAQAAAAAAAPhPAAAAAAAAUEsGBwAAAAAiUQAAAAAAAAEAAABQSwUGAAAAAAQABAAqAQAA+E8AAAAA"
./matbench_mp_gap/mb-mp-gap-012335
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-096666
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-084645
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-012739
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-062931
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-072840
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-065129
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-025017
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-052715
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-090134
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-036358
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-017169
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-072482
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-004805
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
"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"
./matbench_mp_gap/mb-mp-gap-003526
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-104123
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-090529
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-041776
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-087831
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-036565
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-060765
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-002743
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-009067
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-031861
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-063951
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-009313
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-026064
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-016550
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-103488
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./matbench_mp_gap/mb-mp-gap-094952
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-101759
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-043497
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-100304
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-105624
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-068582
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./matbench_mp_gap/mb-mp-gap-093169
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./matbench_mp_gap/mb-mp-gap-061982
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-086280
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-047010
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-059457
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-099145
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-068464
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-037004
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-101340
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-052194
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-060763
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-073899
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-040724
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-029899
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-013164
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-098588
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-029983
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-051724
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-082391
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-101540
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-023036
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-018557
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-084997
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-104724
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-078007
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-020584
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-064137
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-065620
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-017636
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-040758
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-071918
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-097235
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-101987
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-091842
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-053407
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz