Datasets:
Zatom-AI
/
matbench

Dataset card Data Studio Files
xet
 Community
pt
unknown
__key__
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./matbench_mp_gap/mb-mp-gap-081783
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./matbench_mp_gap/mb-mp-gap-068410
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-024694
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-041792
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./matbench_mp_gap/mb-mp-gap-098433
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-057814
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-105455
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-046449
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-056387
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-086933
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-091704
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-050178
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-072331
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-013110
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-006920
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-019348
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-049632
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./matbench_mp_gap/mb-mp-gap-077814
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-010256
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-097931
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-029185
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-094967
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-026279
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-068931
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-044291
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-050199
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-030823
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-094599
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-080554
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-021561
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-088408
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-093621
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-041357
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-086969
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-088508
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-060725
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-014170
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-046322
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-100645
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-001803
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-043736
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-042237
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-036263
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./matbench_mp_gap/mb-mp-gap-082752
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-086876
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-049038
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-054643
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-073417
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-033138
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-002972
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-013343
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
"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"
./matbench_mp_gap/mb-mp-gap-019602
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-030685
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-035544
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-077683
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-101966
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-011096
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9cosBAAAoaCBqMQEAAGgiSwF1YWgjXXKMAQAAKEc/1YtvNGtBl0c/1PCIqTFnK0c/5gTbnHNorWVoGH1yjQEAAGgmRz+RaHKwIMScc2gnajEBAABoKV1yjgEAAChHP/u/zhL+pPNHQAmxt6tJ6dBHQB48hUoFqeFldX1yjwEAAChoHV1ykAEAAH1ykQEAAChoIGoxAQAAaCJLAXVhaCNdcpIBAAAoRz/T8HGCI1tPRz/pQhv+5CEnRz/ioeQV6aFEZWgYfXKTAQAAaCZHP4qfvnbItDlzaCdqMQEAAGgpXXKUAQAAKEc//HXFDLeUWkdAHx0Ip7SR+0dAGZGiiFk8XGV1fXKVAQAAKGgdXXKWAQAAfXKXAQAAKGggajEBAABoIksBdWFoI11ymAEAAChHP9g8FM5uN5ZHP6IO/fS3+FRHP+k6eFFKdW9laBh9cpkBAABoJkc/nKwIMSbpeXNoJ2oxAQAAaCldcpoBAAAoRz/+MHuTB4JERz/U26SIgHDwR0AhVAPYykzuZXV9cpsBAAAoaB1dcpwBAAB9cp0BAAAoaCBqMQEAAGgiSwF1YWgjXXKeAQAAKEc/2Mhz12gxQkc/4ou3WMdBc0c/5ozPrFAqkGVoGH1ynwEAAGgmRz9ok3S8an76c2gnajEBAABoKV1yoAEAAChHQAHDZv0TOVRHQBbPFvA3lptHQB72Lw2c6qJldX1yoQEAAChoHV1yogEAAH1yowEAAChoIGoxAQAAaCJLAXVhaCNdcqQBAAAoRz/cCKj7t0X9Rz/b7P2ET7BsRz/seH8SWcnLZWgYfXKlAQAAaCZHP4BiTdLxqfxzaCdqMQEAAGgpXXKmAQAAKEdAAis0twLH90dAESLW5Ekcg0dAI4xA5U8is2V1fXKnAQAAKGgdXXKoAQAAfXKpAQAAKGggajEBAABoIksBdWFoI11yqgEAAChHP97Lalbg4lhHP+jg/79oYDxHP+2Z0FCP5WZlaBh9cqsBAABoJkc/YGJN0vGp/HNoJ2oxAQAAaCldcqwBAAAoR0AFK3Gs9sNZR0Aemul9Onm0R0AkUazbgNd3ZXV9cq0BAAAoaB1dcq4BAAB9cq8BAAAoaCBqMQEAAGgiSwF1YWgjXXKwAQAAKEc/0cgiLadYHkc/wQ4zn2m9M0c/WhP9Yuy0SWVoGH1ysQEAAGgmRz+TdLxqfvnbc2gnajEBAABoKV1ysgEAAChHQAYq75KdBQ1HP/TdxksRpnhHP5pe/QczlBVldX1yswEAAChoHV1ytAEAAH1ytQEAAChoIGoxAQAAaCJLAXVhaCNdcrYBAAAoRz/UOAt0qEiJRz/VE9n8iyttRz/Dr8/RZAtCZWgYfXK3AQAAaCZHP4ysCDEm6XlzaCdqMQEAAGgpXXK4AQAAKEdABm5AraVuH0dACee8F9P38Ec/+yA35o3TPmV1fXK5AQAAKGgdXXK6AQAAfXK7AQAAKGggajEBAABoIksBdWFoI11yvAEAAChHP9nlz0d7aa5HP7ozr4ToXKBHP8y8fZ89HJZlaBh9cr0BAABoJkc/aJN0vGp++nNoJ2oxAQAAaCldcr4BAAAoR0AL+i+LeGAIRz/vvLXz+g0HR0ADz/3lCBTMZXV9cr8BAAAoaB1dcsABAAB9csEBAAAoaCBqMQEAAGgiSwF1YWgjXXLCAQAAKEc/2m3ygZI710c/4s7I2yWrCkc/0U4WrpguYGVoGH1ywwEAAGgmRz+i8an752yLc2gnajEBAABoKV1yxAEAAChHQAwb1y7ECeBHQBckQOYediRHQAfNzDfP7xBldX1yxQEAAChoHV1yxgEAAH1yxwEAAChoIGoxAQAAaCJLAXVhaCNdcsgBAAAoRz/Ydd/WE/NSRz/roZ9nY+dbRz/CbUTR7BtyZWgYfXLJAQAAaCZHP5Jul41P3ztzaCdqMQEAAGgpXXLKAQAAKEdADEW9dcHWgkdAIQXCG1W4K0c/+VkKq42v0GV1fXLLAQAAKGgdXXLMAQAAfXLNAQAAKGggajEBAABoIksBdWFoI11yzgEAAChHP+C7J3NhdpNHP7WY3+BP4WpHP+Qk3Y+9orhlaBh9cs8BAABoJkc/UGJN0vGp/HNoJ2oxAQAAaCldctABAAAoR0ANojIoWZxgRz/pyZs0C4DmR0Abs0IUUj8sZXV9ctEBAAAoaB1dctIBAAB9ctMBAAAoaCBqMQEAAGgiSwF1YWgjXXLUAQAAKEc/3oIqh2gTu0c/1d793I83lkc/3LAO+/FSk2VoGH1y1QEAAGgmRz+OuFHrhR64c2gnajEBAABoKV1y1gEAAChHQA2baIqGL6pHQArPprUQzTtHQBO6OvU9IKhldX1y1wEAAChoHV1y2AEAAH1y2QEAAChoIGoxAQAAaCJLAXVhaCNdctoBAAAoRz/gvuq8S/YjRz/lEIERuGQ1Rz/hp/iCB1a2ZWgYfXLbAQAAaCZHP464UeuFHrhzaCdqMQEAAGgpXXLcAQAAKEdAD5CLiLGQjkdAGeZrVDQE40dAGEO0iJScTWV1fXLdAQAAKGgdXXLeAQAAfXLfAQAAKGggajEBAABoIksBdWFoI11y4AEAAChHP96JsRk9EttHP+1M5AP2A9NHP9e2ROCEuo9laBh9cuEBAABoJkc/UGJN0vGp/HNoJ2oxAQAAaCldcuIBAAAoR0APicHq3iPYR0AiCoWkHX2yR0AQSq1pf33KZXV9cuMBAAAoaB1dcuQBAAB9cuUBAAAoaCBqMQEAAGgiSwF1YWgjXXLmAQAAKEc/48UQFPYGV0c/wXmCYnBilEc/62Suy4T5JGVoGH1y5wEAAGgmRz+SbpeNT987c2gnajEBAABoKV1y6AEAAChHQBBzG0669NpHP/UK6eBD7LFHQCLT1ml3KIJldX1y6QEAAChoHV1y6gEAAH1y6wEAAChoIGoxAQAAaCJLAXVhaCNdcuwBAAAoRz/iyQa/NuIURz/aYm5JtKnrRz/nWPSos+jQZWgYfXLtAQAAaCZHP6LxqfvnbItzaCdqMQEAAGgpXXLuAQAAKEdAEIgOcjnbK0dAECn9yJ31W0dAIAuEsPTit2V1fXLvAQAAKGgdXXLwAQAAfXLxAQAAKGggajEBAABoIksBdWFoI11y8gEAAChHP+MNGFxCSylHP+y5ig9i9GxHP+jQ4JgwuNplaBh9cvMBAABoJkc/aJN0vGp++nNoJ2oxAQAAaCldcvQBAAAoR0AQmOJD37AXR0Ahq1P4HpTwR0AhCvhFptlIZXV9cvUBAAAoaB1dcvYBAAB9cvcBAAAoaCBqMQEAAGgiSwF1YWgjXXL4AQAAKEc/5eP6Ravbu0c/5XYTAbpqSkc/6xQMC6b9L2VoGH1y+QEAAGgmRz+MrAgxJul5c2gnajEBAABoKV1y+gEAAChHQBNe2bLJKQxHQBpaYKLSb4hHQCKa8MIXJBNldX1y+wEAAChoHV1y/AEAAH1y/QEAAChoIGoxAQAAaCJLAXVhaCNdcv4BAAAoRz/nG+7pLFPxRz/rvHMYJZCzRz/v8vYBTommZWgYfXL/AQAAaCZHP5N0vGp++dtzaCdqMQEAAGgpXXIAAgAAKEdAE4CCQE1dlUdAIQtmjfwA8UdAJfHIQGVEsWV1fXIBAgAAKGgdXXICAgAAfXIDAgAAKGggajEBAABoIksBdWFoI11yBAIAAChHP+CaStSPjtRHP8x8AQJefxFHP7MxfXuA1NJlaBh9cgUCAABoJkc/YGJN0vGp/HNoJ2oxAQAAaCldcgYCAAAoR0AUAEEzIH5vR0ABZqpjA+OZRz/q1K42gHBUZXV9cgcCAAAoaB1dcggCAAB9cgkCAAAoaCBqMQEAAGgiSwF1YWgjXXIKAgAAKEc/4furgiRdAkc/4gmBPdgnykc/vDwHbTGxqWVoGH1yCwIAAGgmRz+AYk3S8an8c2gnajEBAABoKV1yDAIAAChHQBWAX64afCBHQBYrZ8pzTv1HP/OVtszN3kBldX1yDQIAAChoHV1yDgIAAH1yDwIAAChoIGoxAQAAaCJLAXVhaCNdchACAAAoRz/jm8YUS+dfRz/a6JFOcX0bRz/S5mCnX6rgZWgYfXIRAgAAaCZHP2iTdLxqfvpzaCdqMQEAAGgpXXISAgAAKEdAFbRGixJDckdAEH8nvoTU5UdACg+A4GmkqmV1fXITAgAAKGgdXXIUAgAAfXIVAgAAKGggajEBAABoIksBdWFoI11yFgIAAChHP+Ph9ZjI5DVHP+7fECC0gHtHP8sWHrrWKkRlaBh9chcCAABoJkc/nKwIMSbpeXNoJ2oxAQAAaCldchgCAAAoR0AXCdsk2f+KR0AjAEIzGjI5R0ACq8+YekY2ZXV9chkCAAAoaB1dchoCAAB9chsCAAAoaCBqMQEAAGgiSwF1YWgjXXIcAgAAKEc/5gfHPu5SWUc/yveQBG97Y0c/2rw31Cy9eGVoGH1yHQIAAGgmRz+Kn752yLQ5c2gnajEBAABoKV1yHgIAAChHQBd4iMZt+wVHQABibA4PswlHQBJsTPV4gJtldX1yHwIAAChoHV1yIAIAAH1yIQIAAChoIGoxAQAAaCJLAXVhaCNdciICAAAoRz/lOkhlyl80Rz/lh7urZ0xqRz/T9kjHGS6lZWgYfXIjAgAAaCZHP5FocrAgxJxzaCdqMQEAAGgpXXIkAgAAKEdAF6YGhNw23kdAGnVi2Rd2mEdAC4LUZ5gmKmV1fXIlAgAAKGgdXXImAgAAfXInAgAAKGggajEBAABoIksBdWFoI11yKAIAAChHP+csX38Wi4hHP9v0qLPo0DlHP+CcLXgIT1plaBh9cikCAABoJkc/jrhR64UeuHNoJ2oxAQAAaCldcioCAAAoR0AYAT6nTIadR0ARHfO3N9/OR0AW3c+HHUInZXV9cisCAAAoaB1dciwCAAB9ci0CAAAoaCBqMQEAAGgiSwF1YWgjXXIuAgAAKEc/6NvwUOBtPkc/7fw9eFuGZEc/3saYSo8aZWVoGH1yLwIAAGgmRz+QYk3S8an8c2gnajEBAABoKV1yMAIAAChHQBqkxftyYQ1HQCJvum2NFz5HQBUtUhzlKKRldX1yMQIAAChoHV1yMgIAAH1yMwIAAChoIGoxAQAAaCJLAXVhaCNdcjQCAAAoRz/qwoRpsZ91Rz/GSpGJKd/NRz/mChN/OMVDZWgYfXI1AgAAaCZHP5Jul41P3ztzaCdqMQEAAGgpXXI2AgAAKEdAGr/MTf5rvEc/+tw4y84bZEdAHlcCx96+v2V1fXI3AgAAKGgdXXI4AgAAfXI5AgAAKGggajEBAABoIksBdWFoI11yOgIAAChHP+n3E6KfJsxHP+a/wL/5Kc1HP+KlwWAHJrtlaBh9cjsCAABoJkc/kWhysCDEnHNoJ2oxAQAAaCldcjwCAAAoR0Aa9xHaNsyOR0Ab7e2XAHbbR0AZqYC0BZLTZXV9cj0CAAAoaB1dcj4CAAB9cj8CAAAoaCBqMQEAAGgiSwF1YWgjXXJAAgAAKEc/7CWrNU1pwEc/3djagewo3kc/6URXrebYkmVoGH1yQQIAAGgmRz+an752yLQ5c2gnajEBAABoKV1yQgIAAChHQBudcY7TBh5HQBI/1ziJoY5HQCFhcg69VeFldX1yQwIAAChoHV1yRAIAAH1yRQIAAChoIGoxAQAAaCJLAXVhaCNdckYCAAAoRz/t+kb4t+IvRz+woIihI9GWRz/seiX7vSU6ZWgYfXJHAgAAaCZHP4BiTdLxqfxzaCdqMQEAAGgpXXJIAgAAKEdAHMoIBh5g/kc/4wQg+IiRGEdAI5grqgn8D2V1fXJJAgAAKGgdXXJKAgAAfXJLAgAAKGggajEBAABoIksBdWFoI11yTAIAAChHP+xiiTx/N0NHP+155S5te65HP+aLk2wt+5FlaBh9ck0CAABoJkc/aJN0vGp++nNoJ2oxAQAAaCldck4CAAAoR0Ac4pI6QubsR0AiG/AaZ/OIR0AfArJcP844ZXV9ck8CAAAoaB1dclACAAB9clECAAAoaCBqMQEAAGgiSwF1YWgjXXJSAgAAKEc/72XKtRp+hkc/5yu+We1cOUc/7Zv38xY3pWVoGH1yUwIAAGgmRz9gYk3S8an8c2gnajEBAABoKV1yVAIAAChHQB5zrSHp9LpHQBxpB+s+KpxHQCRcTzcsJOJldX1yVQIAAChoHV1yVgIAAH1yVwIAAChoIGoxAQAAaCJLAXVhaCNdclgCAAAoRz/o3+YZpOy0Rz/XZ6qJKwxzRz9YcA5a4aLzZWgYfXJZAgAAaCZHP5N0vGp++dtzaCdqMQEAAGgpXXJaAgAAKEdAHwkoXzhvSEdADKEsWQtWTUc/pEmS8yCL92V1fXJbAgAAKGgdXXJcAgAAfXJdAgAAKGggajEBAABoIksBdWFoI11yXgIAAChHP+ogpIrkShdHP8XjDy5xLJNHP8O8y/i8adNlaBh9cl8CAABoJkc/kWhysCDEnHNoJ2oxAQAAaCldcmACAAAoR0AfEMvgrxGhRz/6cRZKvqiKRz/7f7cXw1fUZXV9cmECAAAoaB1dcmICAAB9cmMCAAAoaCBqMQEAAGgiSwF1YWgjXXJkAgAAKEc/7O4fXT1y0kc/2XrtZss7J0c/zK/6bpuUG2VoGH1yZQIAAGgmRz9wYk3S8an8c2gnajEBAABoKV1yZgIAAChHQCD7P5hAA3JHQA8iW+JZxAFHQAPkv6KuBf5ldX1yZwIAAChoHV1yaAIAAH1yaQIAAChoIGoxAQAAaCJLAXVhaCNdcmoCAAAoRz/sM/Rjv5gGRz/kXmsU9t0XRz/CbjFg9g8QZWgYfXJrAgAAaCZHP5Jul41P3ztzaCdqMQEAAGgpXXJsAgAAKEdAIPRfSLym4EdAGP4OCoE2wkc/+aqkDggdKGV1fXJtAgAAKGgdXXJuAgAAfXJvAgAAKGggajEBAABoIksBdWFoI11ycAIAAChHP+0+gctGus9HP+01QnynRX9HP9FFfsUB/TBlaBh9cnECAABoJkc/oeuFHrhR7HNoJ2oxAQAAaCldcnICAAAoR0AhDNO6lSdjR0Ah8rj9WMQ6R0AH3tlRDbIrZXV9cnMCAAAoaB1dcnQCAAB9cnUCAAAoaCBqMQEAAGgiSwF1YWgjXXJ2AgAAKEc/7zvGX3Vbd0c/xIc0PEeu60c/3KdzC5BW+2VoGH1ydwIAAGgmRz+SbpeNT987c2gnajEBAABoKV1yeAIAAChHQCFNl0GOXmFHP/ieEFRXuT1HQBPH8WVUwXFldX1yeQIAAChoHV1yegIAAH1yewIAAChoIGoxAQAAaCJLAXVhaCNdcnwCAAAoRz/vRDX6Yt0aRz/iuJi4SDBwRz/XsvzMxL83ZWgYfXJ9AgAAaCZHP1BiTdLxqfxzaCdqMQEAAGgpXXJ+AgAAKEdAIcTc0Wqx8kdAFu83A1JQykdAEF2c0C3JJ2V1ZXVYBgAAAHRhcmdldHJ/AgAAR0AP4bCJoCdSdS5QSwcIzL3V7wozAAAKMwAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAaAC4AbWItbXAtZ2FwLTA2NjEyMS9ieXRlb3JkZXJGQioAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpabGl0dGxlUEsHCIU94xkGAAAABgAAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGAA0AG1iLW1wLWdhcC0wNjYxMjEvdmVyc2lvbkZCMABaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlozClBLBwjRnmdVAgAAAAIAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAACcAKQBtYi1tcC1nYXAtMDY2MTIxLy5kYXRhL3NlcmlhbGl6YXRpb25faWRGQiUAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWjA2MzY0NTc3Mzc5NDY0MDEwNTEzMDAwMDAwMjc3NDI4MjgyMDQ2MzRQSwcI+kg36ygAAAAoAAAAUEsBAgAAAAAICAAAAAAAAMy91e8KMwAACjMAABkAAAAAAAAAAAAAAAAAAAAAAG1iLW1wLWdhcC0wNjYxMjEvZGF0YS5wa2xQSwECAAAAAAgIAAAAAAAAhT3jGQYAAAAGAAAAGgAAAAAAAAAAAAAAAABaMwAAbWItbXAtZ2FwLTA2NjEyMS9ieXRlb3JkZXJQSwECAAAAAAgIAAAAAAAA0Z5nVQIAAAACAAAAGAAAAAAAAAAAAAAAAADWMwAAbWItbXAtZ2FwLTA2NjEyMS92ZXJzaW9uUEsBAgAAAAAICAAAAAAAAPpIN+soAAAAKAAAACcAAAAAAAAAAAAAAAAAUjQAAG1iLW1wLWdhcC0wNjYxMjEvLmRhdGEvc2VyaWFsaXphdGlvbl9pZFBLBgYsAAAAAAAAAB4DLQAAAAAAAAAAAAQAAAAAAAAABAAAAAAAAAAqAQAAAAAAAPg0AAAAAAAAUEsGBwAAAAAiNgAAAAAAAAEAAABQSwUGAAAAAAQABAAqAQAA+DQAAAAA"
./matbench_mp_gap/mb-mp-gap-066121
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-006212
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-082411
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-001009
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-056946
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-036351
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-044194
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-037362
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-046912
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
"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./matbench_mp_gap/mb-mp-gap-041851
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
"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"
./matbench_mp_gap/mb-mp-gap-103957
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-062004
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-067924
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-018957
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
"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"
./matbench_mp_gap/mb-mp-gap-001470
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-020678
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-052187
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-064582
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-066621
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-038638
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
"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"
./matbench_mp_gap/mb-mp-gap-001741
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-050959
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-033978
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-092167
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./matbench_mp_gap/mb-mp-gap-086331
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-095336
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-051435
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-100046
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-007061
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-000407
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-092866
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-083793
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-030969
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-053821
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTAxMzMyMC9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHQBtd8WEAy9hHAAAAAAAAAABHwAWy4pMyoj9lXXENKEcAAAAAAAAAAEdAIU/4X82a/kcAAAAAAAAAAGVdcQ4oR7/Lc6H4uLjvRwAAAAAAAAAAR0AjlSkagInTZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAHXBoD4EjpVgBAAAAYnESR0AhT/hfzZr+WAEAAABjcRNHQCOWXO3NMqVYBQAAAGFscGhhcRRHQFaAAAAAAABYBAAAAGJldGFxFUdAXDhVCTJxE1gFAAAAZ2FtbWFxFkdAVoAAAAAAAFgGAAAAdm9sdW1lcRdHQIH2ubB8EIN1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABabnEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP9FGY7HWJmhHP+3AdBPOEx5HP+yuKHHkHfdlaBh9cSVYBgAAAG1hZ21vbXEmRz9wYk3S8an8c1gFAAAAbGFiZWxxJ1gCAAAAWm5xKFgDAAAAeHl6cSldcSooRz/6eONW+TtfR0AgGJe1rHoBR0AgFj9d2zXpZXV9cSsoaB1dcSx9cS0oaCBoIWgiSwF1YWgjXXEuKEc/51zOJxTszEc/24DoJ5wmPEc/41HXjhviCWVoGH1xL2gmRz9wYk3S8an8c2gnWAIAAABabnEwaCldcTEoR0ATdkzzmdRVR0ANwm4XFrIIR0APcxaUY8EMZXV9cTIoaB1dcTN9cTQoaCBoIWgiSwF1YWgjXXE1KEc/51zOJxTszEc/sfxfYY9nEUc/uo68cN8QRmVoGH1xNmgmRz9wYk3S8an8c2gnWAIAAABabnE3aCldcTgoR0AT5Bt7fLc5Rz/jdgqiEg/SR7/u3O6CdUpsZXV9cTkoaB1dcTp9cTsoaCBoIWgiSwF1YWgjXXE8KEc/0UZjsdYmaEc/4j+L7DHs4kc/2VxQ48g77mVoGH1xPWgmRz9wYk3S8an8c2gnWAIAAABabnE+aCldcT8oRz/8MB12hMbuR0ATvrm0D9z4R0AJLqtCa8QBZXV9cUAoaB1dcUF9cUIoaCBYAgAAAENycUNoIksBdWFoI11xRChHP+mVd6uzIatHP6y/3qfAo8pHP+VZIIKsbTFlaBh9cUVoJkdADhysCDEm6XNoJ1gCAAAAQ3JxRmgpXXFHKEdAFU61mZma0Uc/3xuON7jIMUdAEXRN5drX6GV1fXFIKGgdXXFJfXFKKGggaENoIksBdWFoI11xSyhHP8mqIVEzeVRHP+HL/ep8Cj1HP+qm331Tks9laBh9cUxoJkdADhysCDEm6XNoJ1gCAAAAQ3JxTWgpXXFOKEc/8xdAvvohc0dAE0GxQ0kngUdAHnG8IA10cmV1fXFPKGgdXXFQfXFRKGggaENoIksBdWFoI11xUihHP8mqIVEzeVRHP+40AhWD9cNHP9VNvvqnJZ5laBh9cVNoJkdADhysCDEm6XNoJ1gCAAAAQ3JxVGgpXXFVKEc/9M563oWtAkdAIFcb7g/UvEdABbkmCxnVPGV1fXFWKGgdXXFXfXFYKGggaENoIksBdWFoI11xWShHP+mVd6uzIatHP9xoBCsH64dHP8VkggqxtMNlaBh9cVpoJkdADhysCDEm6XNoJ1gCAAAAQ3JxW2gpXXFcKEdAFbyEIXx9tEdADrx++KQc9ke/4QbZpS2PVmV1fXFdKGgdXXFefXFfKGggWAIAAABBc3FgaCJLAXVhaCNdcWEoRz/b3XAdn004Rz/M4cOp42jGRz/n+xaBdrgYZWgYfXFiaCZHP4qfvnbItDlzaCdYAgAAAEFzcWNoKV1xZChHQAaLfCuEHDBHP/9AOvLg2ZBHQBigdO6qVrRldX1xZShoHV1xZn1xZyhoIGhgaCJLAXVhaCNdcWgoRz/iEUfxMFlkRz/nOHDqeNoxRz/oBOl+iUfoZWgYfXFpaCZHP4qfvnbItDlzaCdYAgAAAEFzcWpoKV1xayhHQA2dj2csKilHQBkgBxyF0WFHQBdFlRc99aVldX1xbChoHV1xbX1xbihoIGhgaCJLAXVhaCNdcW8oRz/iEUfxMFlkRz/ox48VhyXPRz/QCdL9Eo/QZWgYfXFwaCZHP4qfvnbItDlzaCdYAgAAAEFzcXFoKV1xcihHQA55LHbx7/FHQBrP4gLi/5lHP+2DX+XrXpRldX1xcyhoHV1xdH1xdShoIGhgaCJLAXVhaCNdcXYoRz/b3XAdn004Rz/Rjx4rDkudRz/P7FGiXxAGZWgYfXF3aCZHP4qfvnbItDlzaCdYAgAAAEFzcXhoKV1xeShHQAdnGVgS48JHQAL/00YqyTRHP/QtJQxQLkRldX1xeihoHV1xe31xfChoIGhgaCJLAXVhaCNdcX0oRz+fk8IUNxmdRz/RaMkBvBfJRz/u0D1k5VznZWgYfXF+aCZHP464UeuFHrhzaCdYAgAAAEFzcX9oKV1xgChHP3JKZ5TavKBHQALWWTK55Y1HQCKwcqxmW+1ldX1xgShoHV1xgn1xgyhoIGhgaCJLAXVhaCNdcYQoRz/vA2HvXkczRz/otGSA3gvkRz/hL8KbGqMZZWgYfXGFaCZHP464UeuFHrhzaCdYAgAAAEFzcYZoKV1xhyhHQBoP8y9y7H1HQBq7JPkqjcRHQAUKSVo3KQBldX1xiChoHV1xiX1xiihoIGhgaCJLAXVhaCNdcYsoRz/vA2HvXkczRz/nS5t/IfQcRz+i/CmxqjGXZWgYfXGMaCZHP464UeuFHrhzaCdYAgAAAEFzcY1oKV1xjihHQBp9wbdVz2FHQBk0xCY+QzZHwAIgCNrJ6qRldX1xjyhoHV1xkH1xkShoIGhgaCJLAXVhaCNdcZIoRz+fk8IUNxmdRz/NLm38h9BuRz/doHrJyrnNZWgYfXGTaCZHP464UeuFHrhzaCdYAgAAAEFzcZRoKV1xlShHP7yYSHIGZLlHP/+TLxnCoN5HQBHLvD5MLgZldX1xlihoHV1xl31xmChoIFgBAAAAT3GZaCJLAXVhaCNdcZooRz/rqvX36VsjRz/Q/fEHE8WFRz+oFbdMXPrYZWgYfXGbaCZHv4R64UeuFHtzaCdomWgpXXGcKEdAF58kaiLwzEdAAmK9s24Cg0e//ickIdjae2V1fXGdKGgdXXGefXGfKGggaJloIksBdWFoI11xoChHP8FUKCBak3RHP+h++IOJ4sJHP9z9SRZ0YKVlaBh9caFoJke/hHrhR64Ue3NoJ2iZaCldcaIoRz/qh/N318FIR0AagVc5hJw/R0AQRYDZXW9SZXV9caMoaB1dcaR9caUoaCBomWgiSwF1YWgjXXGmKEc/wVQoIFqTdEc/54EHfHYdPkc/7n6kizowU2VoGH1xp2gmR7+EeuFHrhR7c2gnaJloKV1xqChHP+cZfzjAqipHQBlukeXkNLtHQCHtVPnu/JNldX1xqShoHV1xqn1xqyhoIGiZaCJLAXVhaCNdcawoRz/rqvX36VsjRz/OBB3x2HT3Rz/hgVt0xc+tZWgYfXGtaCZHv4R64UeuFHtzaCdomWgpXXGuKEdAFzFV4kAN6EdAAD0zDC0zeUdACBbAJBSmZ2V1fXGvKGgdXXGwfXGxKGggaJloIksBdWFoI11xsihHP9bZ/JXoNDFHP9nNSsFEWHVHP+iA0oMaJkdlaBh9cbNoJke/aJN0vGp++nNoJ2iZaCldcbQoR0ACOq8573RaR0AL6xWW+A8vR0AaHbWPw6ZOZXV9cbUoaB1dcbZ9cbcoaCBomWgiSwF1YWgjXXG4KEc/5JMBtQvl50c/7OalYKIsOkc/538tfOXZuWVoGH1xuWgmR79ok3S8an76c2gnaJloKV1xuihHQBD3LixgaP9HQB9FgytJopVHQBXIVHYkpgtldX1xuyhoHV1xvH1xvShoIGiZaCJLAXVhaCNdcb4oRz/kkwG1C+XnRz/jGVqfXdPGRz/N/LXzl2bkZWgYfXG/aCZHv2iTdLxqfvpzaCdomWgpXXHAKEdAEWT8tENL40dAFKpl9B8uZUc/4Zla3SDhwmV1fXHBKGgdXXHCfXHDKGggaJloIksBdWFoI11xxChHP9bZ/JXoNDFHP7jK1Pruni5HP9EBpQY0TI5laBh9ccVoJke/aJN0vGp++nNoJ2iZaCldccYoR0ADFkxJtToiRz/q02yijJs1Rz/6IjHVDHHuZXV9cccoaB1dcch9cckoaCBomWgiSwF1YWgjXXHKKEc/3dWbMksA2kc/ucpK51nr2kc/7JOHwdXN0mVoGH1xy2gmRz94k3S8an76c2gnaJloKV1xzChHQAf7lPKlvIdHP+vn1sGbXvhHQB3q2y5EynFldX1xzShoHV1xzn1xzyhoIGiZaCJLAXVhaCNdcdAoRz/hFTJm2n+TRz/jOUlc6z17Rz/jbHg+KjIuZWgYfXHRaCZHP3iTdLxqfvpzaCdomWgpXXHSKEdADC12oAqJ00dAFMzzOAEG3UdAEfsu16OB6WV1fXHTKGgdXXHUfXHVKGggaJloIksBdWFoI11x1ihHP+EVMmbaf5NHP+zGtqMUwoVHP7tjwfFRkW1laBh9cddoJkc/eJN0vGp++nNoJ2iZaCldcdgoR0ANCROv0E+aR0AfIvXnZ8odR7/Zn6Qt0H6kZXV9cdkoaB1dcdp9cdsoaCBomWgiSwF1YWgjXXHcKEc/3dWbMksA2kc/2Y1tRimFCkc/2ScPg6ubpWVoGH1x3WgmRz94k3S8an76c2gnaJloKV1x3ihHQAjXMgJrgk5HQAul+w80Xj9HQASrZCeIgTxldX1x3yhoHV1x4H1x4ShoIGiZaCJLAXVhaCNdceIoRz/QP85holxhRz/BxylfSeeARz/izY91KHYWZWgYfXHjaCZHP4ysCDEm6XlzaCdomWgpXXHkKEc/+cbn6Zjp0Uc/8zx3SvlBeEdAFEI3lptG9GV1fXHlKGgdXXHmfXHnKGggaJloIksBdWFoI11x6ChHP+fgGM8u0dBHP+RxylfSeeBHP+0ycIrXieplaBh9celoJkc/jKwIMSbpeXNoJ2iZaCldceooR0ATosvO8ei5R0AWHxYyi+tcR0Abo9JvTQVnZXV9cesoaB1dcex9ce0oaCBomWgiSwF1YWgjXXHuKEc/5+AYzy7R0Ec/6441qC2GIEc/2mThFa8T1GVoGH1x72gmRz+MrAgxJul5c2gnaJloKV1x8ChHQBQQmlbUy51HQB3Q0uzc5Z5HQAAdUqmY9yZldX1x8ShoHV1x8n1x8yhoIGiZaCJLAXVhaCNdcfQoRz/QP85holxhRz/XHGtQWwxARz+2bHupQ7CvZWgYfXH1aCZHP4ysCDEm6XlzaCdomWgpXXH2KEc/+34iCSR1YEdACQG1Gh6VQEc/xaHPg1ekAGV1fXH3KGgdXXH4fXH5KGggaJloIksBdWFoI11x+ihHP+9Hqw9iyXlHP7ZRUCm5C/tHP9UZmIJtWB1laBh9cftoJke/iJN0vGp++nNoJ2iZaCldcfwoR0Aad+Uy1sDmRz/oJfEaHrsWRz/idNUgBHLUZXV9cf0oaB1dcf59cf8oaCBomWgiSwF1YWgjXXIAAQAAKEc/lwqeE6bQ5Uc/4soqBTchf0c/xczO+yVPxmVoGH1yAQEAAGgmR7+Ik3S8an76c2gnaJloKV1yAgEAAChHP74PaZHKA6tHQBRUtoMRcmBHP/m0dLOaqWVldX1yAwEAAChoHV1yBAEAAH1yBQEAAChoIGiZaCJLAXVhaCNdcgYBAAAoRz+XCp4TptDlRz/tNdX6yN6BRz/lczO+yVPxZWgYfXIHAQAAaCZHv4iTdLxqfvpzaCdomWgpXXIIAQAAKEc/hN48yIpV4EdAH5synFdemkdAGgJGR2c0LGV1fXIJAQAAKGgdXXIKAQAAfXILAQAAKGggaJloIksBdWFoI11yDAEAAChHP+9Hqw9iyXlHP9prq/WRvQFHP+qMzEE2rA9laBh9cg0BAABoJke/iJN0vGp++nNoJ2iZaCldcg4BAAAoR0AaChaq894CR0AMlnR5E4c2R0AV48O+gRguZXV9cg8BAAAoaB1dchABAAB9chEBAAAoaCBomWgiSwF1YWgjXXISAQAAKEc/5FwhCGNQ3Uc/0OaP4bTmUUc/ycAVmcU4hGVoGH1yEwEAAGgmR7+Ik3S8an76c2gnaJloKV1yFAEAAChHQBE9UvTo199HQAJJcaEi8HJHP88839v7YAhldX1yFQEAAChoHV1yFgEAAH1yFwEAAChoIGiZaCJLAXVhaCNdchgBAAAoRz/XR73vOV5GRz/oc0fw2nMpRz/TH/UzHWO+ZWgYfXIZAQAAaCZHv4iTdLxqfvpzaCdomWgpXXIaAQAAKEdAA2WfyGoiK0dAGnSxMF8TOEc//wdDSB12zGV1fXIbAQAAKGgdXXIcAQAAfXIdAQAAKGggaJloIksBdWFoI11yHgEAAChHP9dHve85XkZHP+eMuA8ljNdHP+mP+pmOsd9laBh9ch8BAABoJke/iJN0vGp++nNoJ2iZaCldciABAAAoR0ACigK4pFxjR0AZezfvCb3CR0AbVvnsh+eGZXV9ciEBAAAoaB1dciIBAAB9ciMBAAAoaCBomWgiSwF1YWgjXXIkAQAAKEc/5FwhCGNQ3Uc/zjLgPJYzXkc/5nAFZnFOIWVoGH1yJQEAAGgmR7+Ik3S8an76c2gnaJloKV1yJgEAAChHQBDPhG0F9PxHQABWfx54RYpHQBSPEBlgZNRldX1yJwEAAChoHV1yKAEAAH1yKQEAAChoIGiZaCJLAXVhaCNdcioBAAAoRz+wQAPRGuU0Rz/ZzfHl4O/vRz/Zlseia3pMZWgYfXIrAQAAaCZHP464UeuFHrhzaCdomWgpXXIsAQAAKEc/1k6DuMxvw0dAC+vKcUXVlUdADfD/vBBgSWV1fXItAQAAKGgdXXIuAQAAfXIvAQAAKGggaJloIksBdWFoI11yMAEAAChHP+33/4Xco1pHP+zm+PLwd/hHP7mk4XZSFs5laBh9cjEBAABoJkc/jrhR64UeuHNoJ2iZaCldcjIBAAAoR0AZizqdkSH5R0AfRd2YcIXJR7/48yA0g93IZXV9cjMBAAAoaB1dcjQBAAB9cjUBAAAoaCBomWgiSwF1YWgjXXI2AQAAKEc/7ff/hdyjWkc/4xkHDQ+ICEc/4zScLspC2mVoGH1yNwEAAGgmRz+OuFHrhR64c2gnaJloKV1yOAEAAChHQBkdbBWuPxVHQBSqC4b4SzFHQAqwwhq/JMNldX1yOQEAAChoHV1yOgEAAH1yOwEAAChoIGiZaCJLAXVhaCNdcjwBAAAoRz+wQAPRGuU0Rz+4yDhofEBCRz/sy2PRNb0mZWgYfXI9AQAAaCZHP464UeuFHrhzaCdomWgpXXI+AQAAKEc/zuM2dTyDDkc/6tCZOVWBmUdAIUbUfERc/GV1ZXVYBgAAAHRhcmdldHI/AQAARz/jkjopx3modS5QSwcICrrCm9IWAADSFgAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAaACYAbWItbXAtZ2FwLTAxMzMyMC9ieXRlb3JkZXJGQiIAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWmxpdHRsZVBLBwiFPeMZBgAAAAYAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABgANABtYi1tcC1nYXAtMDEzMzIwL3ZlcnNpb25GQjAAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMwpQSwcI0Z5nVQIAAAACAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAnACkAbWItbXAtZ2FwLTAxMzMyMC8uZGF0YS9zZXJpYWxpemF0aW9uX2lkRkIlAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlowNjM2NDU3NzM3OTQ2NDAxMDUxMzAwMDAwMDIxNDk4MDA2NTk0MjMyUEsHCAEZR7coAAAAKAAAAFBLAQIAAAAACAgAAAAAAAAKusKb0hYAANIWAAAZAAAAAAAAAAAAAAAAAAAAAABtYi1tcC1nYXAtMDEzMzIwL2RhdGEucGtsUEsBAgAAAAAICAAAAAAAAIU94xkGAAAABgAAABoAAAAAAAAAAAAAAAAAIhcAAG1iLW1wLWdhcC0wMTMzMjAvYnl0ZW9yZGVyUEsBAgAAAAAICAAAAAAAANGeZ1UCAAAAAgAAABgAAAAAAAAAAAAAAAAAlhcAAG1iLW1wLWdhcC0wMTMzMjAvdmVyc2lvblBLAQIAAAAACAgAAAAAAAABGUe3KAAAACgAAAAnAAAAAAAAAAAAAAAAABIYAABtYi1tcC1nYXAtMDEzMzIwLy5kYXRhL3NlcmlhbGl6YXRpb25faWRQSwYGLAAAAAAAAAAeAy0AAAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAKgEAAAAAAAC4GAAAAAAAAFBLBgcAAAAA4hkAAAAAAAABAAAAUEsFBgAAAAAEAAQAKgEAALgYAAAAAA=="
./matbench_mp_gap/mb-mp-gap-013320
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-029123
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-001985
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-083427
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-059803
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-034067
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-104740
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-003146
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-101793
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz