Datasets:
Zatom-AI
/
matbench

Dataset card Data Studio Files
xet
 Community
pt
unknown
__key__
stringlengths
12
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stringclasses
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./matbench_mp_gap/mb-mp-gap-105445
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-105780
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-052318
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
"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"
./matbench_mp_gap/mb-mp-gap-051813
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-068706
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-059090
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-060463
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-078494
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-106057
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-072670
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-011293
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-100520
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-058900
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-071363
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-082504
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-063279
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-021799
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
"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"
./matbench_mp_gap/mb-mp-gap-026974
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-054477
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-036597
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-025099
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-010690
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-033531
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-012507
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-038302
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-055407
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-067728
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-097495
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-094687
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-098287
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-014707
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-062598
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-060314
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-037361
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-046037
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-081557
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-040065
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-028653
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
"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"
./matbench_mp_gap/mb-mp-gap-006617
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-079513
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-005335
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-050011
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-020246
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-005101
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-099497
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"
./matbench_mp_gap/mb-mp-gap-012215
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-039270
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-049112
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-016799
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-100923
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-090402
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-096613
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-052080
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-052672
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-027009
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-091546
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-048590
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-006264
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-053741
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-046157
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
"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./matbench_mp_gap/mb-mp-gap-004132
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-060417
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-094628
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAZAAkAbWItbXAtZ2FwLTA4Mjk5OC9kYXRhLnBrbEZCBQBaWlpaWoACfXEAKFgJAAAAc3RydWN0dXJlcQF9cQIoWAcAAABAbW9kdWxlcQNYFwAAAHB5bWF0Z2VuLmNvcmUuc3RydWN0dXJlcQRYBgAAAEBjbGFzc3EFWAkAAABTdHJ1Y3R1cmVxBlgGAAAAY2hhcmdlcQdHAAAAAAAAAABYBwAAAGxhdHRpY2VxCH1xCShYBgAAAG1hdHJpeHEKXXELKF1xDChHPoAbKymkaStHQAplnhB2xa9HQAplnew5pJFlXXENKEdACmWd8ZgISke+cBsrKaRpK0dACmWeBbn+PmVdcQ4oR0AKZZ3q4gujR0AKZZ4h6YnHR75VeY7iMIw6ZWVYAwAAAHBiY3EPXXEQKIiIiGVYAQAAAGFxEUdAEqpbXx1Ro1gBAAAAYnESR0ASqltdN2YUWAEAAABjcRNHQBKqW2TPFEZYBQAAAGFscGhhcRRHQE4AAB5GhKJYBAAAAGJldGFxFUdATf//2v8k/FgFAAAAZ2FtbWFxFkdATgAAAAAAFFgGAAAAdm9sdW1lcRdHQFH2VncwJdZ1WAoAAABwcm9wZXJ0aWVzcRh9cRlYBQAAAHNpdGVzcRpdcRsofXEcKFgHAAAAc3BlY2llc3EdXXEefXEfKFgHAAAAZWxlbWVudHEgWAIAAABZYnEhWAQAAABvY2N1cSJLAXVhWAMAAABhYmNxI11xJChHP+gAABV5juJHP+gAABAbKypHP+gAADsOSO5laBh9cSVYBgAAAG1hZ21vbXEmRwAAAAAAAAAAc1gFAAAAbGFiZWxxJ1gCAAAAWWJxKFgDAAAAeHl6cSldcSooR0ATzDaXuCW6R0ATzDaxFhK0R0ATzDaJOcFlZXV9cSsoaB1dcSx9cS0oaCBYAgAAAEhmcS5oIksBdWFoI11xLyhHP8///+qGcR5HP9AAAEBsrKdHP9AAAGCjAvplaBh9cTBoJkcAAAAAAAAAAHNoJ1gCAAAASGZxMWgpXXEyKEc/+mWeeybSnEc/+mWeXAU0bkc/+mWeI+ue/2V1fXEzKGgdXXE0fXE1KGggWAIAAABJcnE2aCJLAXVhaCNdcTcoRz5wGysppGkrRz51eY7iMIw6Rz/v///1QziPZWgYfXE4aCZHAAAAAAAAAABzaCdYAgAAAElycTloKV1xOihHQAplngV0fFhHQAplnjOgf4xHPp2olS9dE+1ldX1xOyhoHV1xPH1xPShoIGg2aCJLAXVhaCNdcT4oRz/gAAHojXKaRz/gAAG4O/EdRz/gAAG4O/EdZWgYfXE/aCZHAAAAAAAAAABzaCdYAgAAAElycUBoKV1xQShHQAploMyX/BpHQAploRNSZdpHQAploPXLPf9ldWV1WAYAAAB0YXJnZXRxQkcAAAAAAAAAAHUuUEsHCL8VlA4QBAAAEAQAAFBLAwQAAAgIAAAAAAAAAAAAAAAAAAAAAAAAGgAoAG1iLW1wLWdhcC0wODI5OTgvYnl0ZW9yZGVyRkIkAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWmxpdHRsZVBLBwiFPeMZBgAAAAYAAABQSwMEAAAICAAAAAAAAAAAAAAAAAAAAAAAABgANABtYi1tcC1nYXAtMDgyOTk4L3ZlcnNpb25GQjAAWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaMwpQSwcI0Z5nVQIAAAACAAAAUEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAnACkAbWItbXAtZ2FwLTA4Mjk5OC8uZGF0YS9zZXJpYWxpemF0aW9uX2lkRkIlAFpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlowNjM2NDU3NzM3OTQ2NDAxMDUxMzAwMDAwMDEyMTkwNjU4Njk3NTQzUEsHCNcGdT8oAAAAKAAAAFBLAQIAAAAACAgAAAAAAAC/FZQOEAQAABAEAAAZAAAAAAAAAAAAAAAAAAAAAABtYi1tcC1nYXAtMDgyOTk4L2RhdGEucGtsUEsBAgAAAAAICAAAAAAAAIU94xkGAAAABgAAABoAAAAAAAAAAAAAAAAAYAQAAG1iLW1wLWdhcC0wODI5OTgvYnl0ZW9yZGVyUEsBAgAAAAAICAAAAAAAANGeZ1UCAAAAAgAAABgAAAAAAAAAAAAAAAAA1gQAAG1iLW1wLWdhcC0wODI5OTgvdmVyc2lvblBLAQIAAAAACAgAAAAAAADXBnU/KAAAACgAAAAnAAAAAAAAAAAAAAAAAFIFAABtYi1tcC1nYXAtMDgyOTk4Ly5kYXRhL3NlcmlhbGl6YXRpb25faWRQSwYGLAAAAAAAAAAeAy0AAAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAKgEAAAAAAAD4BQAAAAAAAFBLBgcAAAAAIgcAAAAAAAABAAAAUEsFBgAAAAAEAAQAKgEAAPgFAAAAAA=="
./matbench_mp_gap/mb-mp-gap-082998
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
"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./matbench_mp_gap/mb-mp-gap-039274
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-066643
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-080181
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-034208
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./matbench_mp_gap/mb-mp-gap-069668
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./matbench_mp_gap/mb-mp-gap-100499
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
"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"
./matbench_mp_gap/mb-mp-gap-030092
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-046067
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-035674
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-037671
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-091330
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-020944
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-020121
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-095988
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-100250
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-054972
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-079725
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-012167
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-032469
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./matbench_mp_gap/mb-mp-gap-039216
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./matbench_mp_gap/mb-mp-gap-000983
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-032229
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-024738
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-078405
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-072489
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-064046
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-092449
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-085062
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./matbench_mp_gap/mb-mp-gap-092534
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-038107
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-001021
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-032337
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-015859
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-031125
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-061004
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-042253
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz