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  3. LeMaterial/LeMat-GenBench-embeddings

LeMaterial

LeMat-GenBench-embeddings

Precomputed embeddings for the LeMat-GenBench benchmark — drop-in features for evaluating generative materials models on crystal-structure prediction and downstream tasks.

Original source
Rows
1,200,000
On disk
—
Downloads
975

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Updated
Aug 1

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Column statistics

How the columns are distributed

Over 1,200,000 rows of default/train

immutable_id

string_text
min
6
median
12
mean
11.98
max
13

91.7% empty

mace_embeddings

list
min
640
median
640

Splits

1
  • default/train

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Provenance

Licence
apache-2.0
Likes
0

Fields

Materials ScienceChemistryPhysicsEngineering
mean
640
max
640

orb_embeddings

list
min
256
median
256
mean
256
max
256

uma_embeddings

list
min
128
median
128
mean
128
max
128