Datasets:
Zatom-AI
/
matbench

Dataset card Data Studio Files
xet
 Community
pt
unknown
__key__
stringlengths
12
34
__url__
stringclasses
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./matbench_mp_gap/mb-mp-gap-060613
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./matbench_mp_gap/mb-mp-gap-048808
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"
./matbench_mp_gap/mb-mp-gap-047488
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-094454
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-071669
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-022733
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-086098
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-096963
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-024852
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-004357
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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AAAAAAAQAAAAAAAAAKgEAAAAAAAD4RwAAAAAAAFBLBgcAAAAAIkkAAAAAAAABAAAAUEsFBgAAAAAEAAQAKgEAAPhHAAAAAA=="
./matbench_mp_gap/mb-mp-gap-005065
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-103641
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-015893
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-102055
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-016251
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-000968
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-093352
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-094362
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-086569
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-002746
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-083635
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-100946
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-021187
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-104219
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-104340
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./matbench_mp_gap/mb-mp-gap-098950
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-047373
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-002894
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-056202
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-051751
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-020328
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-089777
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-037847
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-063165
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-050558
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
"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./matbench_mp_gap/mb-mp-gap-021245
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
"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"
./matbench_mp_gap/mb-mp-gap-056166
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-095892
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-014895
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-050544
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-020919
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-071440
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-027763
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
"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"
./matbench_mp_gap/mb-mp-gap-038414
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-036092
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-044975
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-057414
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-037675
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-016765
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-007357
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-031261
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./matbench_mp_gap/mb-mp-gap-084063
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-021979
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-072834
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-007524
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-039322
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-078755
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-033437
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./matbench_mp_gap/mb-mp-gap-077942
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-010240
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-076836
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-062101
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-087715
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-066524
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-061451
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-032461
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-062881
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-089615
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-058984
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-012517
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-071911
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-070684
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-047584
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-045207
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-000537
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-065887
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./matbench_mp_gap/mb-mp-gap-035968
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-005416
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-036842
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-095177
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-091883
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-062012
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-086983
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-080682
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-011413
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-074575
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-062721
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./matbench_mp_gap/mb-mp-gap-029527
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-105417
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-055014
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-089265
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-089052
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-016037
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./matbench_mp_gap/mb-mp-gap-043945
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-016776
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-064666
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-006061
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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./matbench_mp_gap/mb-mp-gap-089992
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-063943
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz
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"
./matbench_mp_gap/mb-mp-gap-017335
/tmp/hf-datasets-cache/medium/datasets/80491870786449-config-parquet-and-info-Zatom-AI-matbench-f7caab37/hub/datasets--Zatom-AI--matbench/snapshots/ab31b0aafc223a7b27dd9f14b5e157e5d3107fa7/Ty-Perez__matbench_properties.tar.gz