Datasets:
Zatom-AI
/
matbench

Dataset card Data Studio Files
xet
 Community
pt
unknown
__key__
stringlengths
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./matbench_mp_gap/mb-mp-gap-050912
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
"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"
./matbench_mp_gap/mb-mp-gap-012878
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-094562
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-046426
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-021437
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-101064
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-062369
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-096949
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-003118
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-041224
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
"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./matbench_mp_gap/mb-mp-gap-033015
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-101776
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
"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"
./matbench_mp_gap/mb-mp-gap-032080
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-051050
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-029736
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-021382
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-033476
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-063429
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-014839
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-062485
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-103690
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-039261
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-090957
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
"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"
./matbench_mp_gap/mb-mp-gap-029881
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-010826
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-007026
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-043422
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-018519
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-069217
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-026614
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-052404
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-037825
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-098559
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./matbench_mp_gap/mb-mp-gap-027994
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-079040
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-070612
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-103350
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-104473
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-030719
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-040328
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-077060
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-035086
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
"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"
./matbench_mp_gap/mb-mp-gap-022756
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-099790
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-009019
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-097810
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-049551
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-014761
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-084209
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-103563
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-100647
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-064517
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-082039
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-101640
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-019967
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-067051
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-012536
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-092953
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-085699
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-029647
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-005225
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-092405
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-098023
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-057707
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-055232
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-027071
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-018438
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-035010
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-073676
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-001033
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-058544
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./matbench_mp_gap/mb-mp-gap-100504
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-036790
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-094226
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./matbench_mp_gap/mb-mp-gap-071495
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-061280
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-031766
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-061197
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-009341
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-104271
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-093871
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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AAAAAAAEAAABQSwUGAAAAAAQABAAqAQAAOA0AAAAA"
./matbench_mp_gap/mb-mp-gap-010721
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-015610
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-042675
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-074985
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-054160
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-005727
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
"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"
./matbench_mp_gap/mb-mp-gap-012085
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-000923
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-002692
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-093030
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-076344
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-074602
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-026330
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
"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"
./matbench_mp_gap/mb-mp-gap-027977
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-057245
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-086406
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-060131
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-045407
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz