Datasets:
Zatom-AI
/
matbench

Dataset card Data Studio Files
xet
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pt
unknown
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./matbench_mp_gap/mb-mp-gap-058637
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-091750
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-065116
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-070426
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
"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"
./matbench_mp_gap/mb-mp-gap-020163
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-009840
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-028515
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-081178
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-047186
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-061104
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-072550
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./matbench_mp_gap/mb-mp-gap-103078
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-018127
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-087235
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-082214
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-071206
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-045429
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-063724
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-095819
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-055264
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-065837
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-085452
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-035161
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-054350
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-039258
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-046259
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-085584
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-063012
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-054182
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-012214
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-006786
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-072343
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-032046
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-049704
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-056880
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-028039
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-022848
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-068898
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-018385
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-061550
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-002456
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-030475
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-093082
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-074410
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-099539
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-080064
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-001573
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-027398
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-052886
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-100082
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./matbench_mp_gap/mb-mp-gap-003505
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-031047
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-073389
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-025437
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-028573
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-068663
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-103007
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-018024
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-083671
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-063850
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-011901
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
"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./matbench_mp_gap/mb-mp-gap-021076
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-017728
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-066254
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-050306
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-032863
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./matbench_mp_gap/mb-mp-gap-028453
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./matbench_mp_gap/mb-mp-gap-038958
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-063702
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-001234
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-094774
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-024137
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-090936
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-064905
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-005792
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-056294
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-101187
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-003717
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-078240
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-027334
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
"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"
./matbench_mp_gap/mb-mp-gap-010359
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
"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"
./matbench_mp_gap/mb-mp-gap-053158
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-097705
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-038314
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-030203
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-031472
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-099026
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-052286
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-084381
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-005054
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-098475
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-049009
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-092039
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-057005
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-067732
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-095519
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-083508
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./matbench_mp_gap/mb-mp-gap-094200
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./matbench_mp_gap/mb-mp-gap-023374
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./matbench_mp_gap/mb-mp-gap-059255
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz