Datasets:
Zatom-AI
/
matbench

Dataset card Data Studio Files
xet
 Community
pt
unknown
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./matbench_mp_gap/mb-mp-gap-025041
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-040940
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-056094
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-027151
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-032681
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-002364
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-056317
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-005871
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-038851
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-061359
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-014312
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-096594
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
"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"
./matbench_mp_gap/mb-mp-gap-102822
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-012133
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-011278
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-009383
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-053697
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-054934
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-015366
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./matbench_mp_gap/mb-mp-gap-025496
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-077036
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-091849
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-058783
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"
./matbench_mp_gap/mb-mp-gap-034689
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-014819
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-036309
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-008649
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-014794
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-046885
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-091384
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-062983
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-061562
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-003350
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-042689
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-060200
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-064313
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-076231
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-062454
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-089180
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-039462
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./matbench_mp_gap/mb-mp-gap-040241
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./matbench_mp_gap/mb-mp-gap-028758
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./matbench_mp_gap/mb-mp-gap-031607
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-084168
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-075724
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-053732
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-021687
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-033998
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-029871
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-031771
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-086208
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-019469
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-034858
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
"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"
./matbench_mp_gap/mb-mp-gap-030760
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-040373
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-030153
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-056579
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-086393
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-072570
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-061528
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-088933
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-068667
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-012625
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-000256
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-069351
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-092051
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
"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"
./matbench_mp_gap/mb-mp-gap-103490
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
"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"
./matbench_mp_gap/mb-mp-gap-007599
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-101253
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./matbench_mp_gap/mb-mp-gap-024305
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-066806
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./matbench_mp_gap/mb-mp-gap-100907
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-028855
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-060478
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-048414
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-094372
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
"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./matbench_mp_gap/mb-mp-gap-008403
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-045278
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-013163
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
"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"
./matbench_mp_gap/mb-mp-gap-024222
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-017125
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-104360
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./matbench_mp_gap/mb-mp-gap-001367
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-052575
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-029970
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-034388
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-004462
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-105049
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-087652
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-068827
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-101608
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-042440
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-054860
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-013214
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-048290
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-089798
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-089792
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-043335
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-073145
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-007922
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz