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material_id
stringlengths
4
10
formula
stringlengths
1
25
space_group_number
int64
1
230
crystal_system
stringclasses
7 values
structure
stringlengths
533
242k
deprecated
bool
2 classes
uncorrected_energy_per_atom
float64
-86.36
-0.03
⌀
energy_per_atom
float64
-86.36
-0.03
⌀
formation_energy_per_atom
float64
-5.15
8.99
⌀
energy_above_hull
float64
-0
9.71
⌀
is_stable
bool
2 classes
equilibrium_reaction_energy_per_atom
float64
-4.52
0
⌀
band_gap
float64
0
17.9
⌀
cbm
float64
-9.83
14.7
⌀
vbm
float64
-14.22
14.7
⌀
efermi
float64
-14.02
19.4
⌀
is_gap_direct
bool
2 classes
is_metal
bool
2 classes
is_magnetic
bool
2 classes
ordering
stringclasses
5 values
total_magnetization
float64
0
320
⌀
total_magnetization_normalized_vol
float64
0
0.26
⌀
total_magnetization_normalized_formula_units
float64
0
214
⌀
num_magnetic_sites
int64
0
160
⌀
num_unique_magnetic_sites
int64
0
160
⌀
possible_species
listlengths
0
10
⌀
theoretical
bool
2 classes
e_total
float64
1.16
127k
⌀
e_ionic
float64
0
127k
⌀
e_electronic
float64
-64.84
46.9k
⌀
n
float64
0
216
⌀
universal_anisotropy
float64
-8,421,341,618,307,863,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000
2,889,475,335,111,887,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000B
⌀
homogeneous_poisson
float64
-179.36
82.9
⌀
e_ij_max
float64
0
119
⌀
xas_is_available
bool
2 classes
bandstructure_is_available
bool
2 classes
dos_is_available
bool
2 classes
decomposes_to_is_available
bool
2 classes
types_of_magnetic_species_is_available
bool
2 classes
PET_v150_embedding
list
mp-3249266
Sr7ErBi6
146
Trigonal
{"@module":"pymatgen.core.structure","@class":"Structure","charge":0.0,"lattice":{"matrix":[[8.262281980269664,-2.0828042661e-6,-2.870246037769855],[-4.131139186373446,7.155347053678128,-2.870246037769855],[0.0,0.0,8.610738113309568]],"pbc":[true,true,true],"a":8.746634543573128,"b":8.746634481507963,"c":8.610738113309...
false
-36.127599
-36.127599
-1.05912
0
true
-0.002815
0
null
null
3.075532
false
true
false
NM
0.000028
0
0.000028
0
0
[]
true
null
null
null
null
null
null
null
false
false
false
false
true
[ 0.5469514727592468, 2.510139226913452, 2.4946134090423584, 0.4971190392971039, -0.28127321600914, 0.4172169268131256, 0.19720648229122162, -3.2120308876037598, 2.570289134979248, 2.0067455768585205, 10.583126068115234, 2.4578123092651367, 1.2704617977142334, 3.8949570655822754, -2.168410...
mp-3249267
TmCuAuO4
15
Monoclinic
{"@module":"pymatgen.core.structure","@class":"Structure","charge":0.0,"lattice":{"matrix":[[5.102067621499866,0.026779987484488003,-3.752422051094827],[-1.290450894338824,4.935753265474312,-3.753074479266426],[0.009105989155313,0.010150190028020001,6.372517334729703]],"pbc":[true,true,true],"a":6.333441594554234,"b":6...
false
-19.000614
-19.000614
-1.79448
0
true
-0.035121
1.0141
5.7176
4.7035
5.21055
true
false
true
FM
2
0.012414
1
2
1
[ "Tm3+", "O2-", "Au3+", "Cu2+" ]
true
null
null
null
null
null
null
null
false
false
false
false
true
[ -1.4616575241088867, 1.5164448022842407, 0.5160998106002808, 1.6466460227966309, 0.6797282099723816, 1.283584713935852, -1.536247968673706, 2.841963529586792, 1.0635370016098022, -4.018033981323242, -1.384661078453064, -1.3374974727630615, -1.5583412647247314, 2.511573076248169, -3.89340...
mp-3249268
LiEr2Si3Ag
12
Monoclinic
{"@module":"pymatgen.core.structure","@class":"Structure","charge":0.0,"lattice":{"matrix":[[9.170684051477222,-0.013906122909967001,-0.046671992316605],[-8.201525342467432,4.103245267330437,0.046671992137272],[0.001167213291218,-0.00027626907318500005,6.767419489608683]],"pbc":[true,true,true],"a":9.170813356902423,"b...
false
-17.456018
-17.456018
-0.611054
0
true
-0.020026
0
null
null
6.372894
false
true
false
NM
0.000001
0
0.000001
0
0
[]
true
null
null
null
null
null
null
null
false
false
false
false
true
[ 0.42863109707832336, 8.893513679504395, -3.2485713958740234, 5.092108249664307, -0.2142498642206192, 8.095781326293945, -1.3494189977645874, -4.601626396179199, 5.120577335357666, -3.2650046348571777, 9.10800838470459, -1.2926859855651855, 0.5161383152008057, 4.668807029724121, -8.383730...
mp-3249269
Nd4DyOs2
15
Monoclinic
{"@module":"pymatgen.core.structure","@class":"Structure","charge":0.0,"lattice":{"matrix":[[8.689087013948136,-0.011631628729025002,0.9597547480932881],[6.165129349590357,6.123032913947385,0.95975475113032],[-0.034386103183800004,-0.014147334713558002,7.322253006768027]],"pbc":[true,true,true],"a":8.741939007293327,"b...
false
-36.720327
-36.720327
-0.20257
0
true
-0.004942
0
null
null
4.080126
false
true
false
NM
0.000005
0
0.000003
0
0
[]
true
null
null
null
null
null
null
null
false
false
false
false
true
[ -10.891368865966797, 11.747943878173828, -0.954066276550293, -2.236515998840332, 0.02753264643251896, 8.967597961425781, -5.559700965881348, -4.459231376647949, 4.124790191650391, -4.893970489501953, 7.378730297088623, -6.483152866363525, 0.6266782283782959, 1.1910628080368042, -9.075666...
mp-3249270
NdY2As4Pd7
12
Monoclinic
{"@module":"pymatgen.core.structure","@class":"Structure","charge":0.0,"lattice":{"matrix":[[6.712419765282271,-0.010371599476665001,4.531742011610508],[5.457076706349997,3.9085809712525292,4.531742013787988],[0.035170604518385,0.011265569099220002,9.625328460697189]],"pbc":[true,true,true],"a":8.09897353590092,"b":8.0...
false
-21.684447
-21.684447
-0.99884
0
true
-0.016364
0
null
null
7.611169
false
true
false
NM
0
0
0
0
0
[]
true
null
null
null
null
null
null
null
false
false
false
false
true
[ 0.31356748938560486, 4.559093952178955, -1.2357902526855469, -0.15857765078544617, -1.6950725317001343, 0.4991551637649536, -2.943530797958374, -1.0950838327407837, -2.201573610305786, -4.2085771560668945, 1.3450114727020264, -0.41909247636795044, 0.8303874731063843, 1.837276577949524, -...
mp-3249271
BaPrB12
123
Tetragonal
{"@module":"pymatgen.core.structure","@class":"Structure","charge":0.0,"lattice":{"matrix":[[4.200169338445068,0.0,0.0],[0.0,4.200169338445068,0.0],[0.0,0.0,8.415271611876381]],"pbc":[true,true,true],"a":4.200169338445068,"b":4.200169338445068,"c":8.415271611876381,"alpha":90.0,"beta":90.0,"gamma":90.0,"volume":148.457...
false
-10.810945
-10.810945
-0.52096
0
true
-0.012235
0
null
null
5.846175
false
true
false
NM
0.000002
0
0.000002
0
0
[ "Pr4+", "B0.50-", "Ba2+" ]
true
null
null
null
null
null
null
null
false
false
false
false
true
[ 0.5085058212280273, 7.736728191375732, -1.0331519842147827, 3.3378868103027344, -0.8313321471214294, 0.46852242946624756, -6.212996482849121, -1.2252249717712402, 0.7448539137840271, -11.769522666931152, -4.168560981750488, 1.2542619705200195, -1.888474464416504, -2.353364944458008, 0.04...
mp-3249272
Tb4ErRu2
15
Monoclinic
"{\"@module\":\"pymatgen.core.structure\",\"@class\":\"Structure\",\"charge\":0.0,\"lattice\":{\"mat(...TRUNCATED)
false
-30.334492
-30.334492
-0.380172
0
true
-0.023705
0
null
null
4.712023
false
true
false
NM
0.00002
0
0.00001
0
0
[]
true
null
null
null
null
null
null
null
false
false
false
false
true
[-9.752336502075195,13.696772575378418,-6.190578460693359,-0.42097142338752747,-3.1377949714660645,6(...TRUNCATED)
mp-3249273
KErB12
225
Cubic
"{\"@module\":\"pymatgen.core.structure\",\"@class\":\"Structure\",\"charge\":0.0,\"lattice\":{\"mat(...TRUNCATED)
false
-9.48389
-9.48389
-0.333894
0
true
-0.057095
0.1308
4.3461
4.2153
4.345758
true
false
false
NM
0
0
0
0
0
[]
true
null
null
null
null
null
null
null
false
false
false
false
true
[3.387664794921875,9.117877960205078,-1.3118337392807007,3.4591829776763916,-3.579057455062866,2.041(...TRUNCATED)
mp-3249274
Yb6Pd3Au5
1
Triclinic
"{\"@module\":\"pymatgen.core.structure\",\"@class\":\"Structure\",\"charge\":0.0,\"lattice\":{\"mat(...TRUNCATED)
false
-39.648585
-39.648585
-1.006983
0
true
-0.011292
0
null
null
6.111709
false
true
false
NM
0.000007
0
0.000007
0
0
[]
true
null
null
null
null
null
null
null
false
false
false
false
true
[-5.462454795837402,4.675612926483154,-7.746953010559082,3.387819528579712,2.7637181282043457,8.3349(...TRUNCATED)
mp-3249275
Yb6MnCoN6
38
Orthorhombic
"{\"@module\":\"pymatgen.core.structure\",\"@class\":\"Structure\",\"charge\":0.0,\"lattice\":{\"mat(...TRUNCATED)
false
-22.96746
-22.96746
-1.405578
0
true
-0.159371
0
null
null
5.110319
false
true
true
FiM
3.71087
0.018768
3.71087
7
6
[ "N3-", "Yb3+", "Mn3+", "Yb2+", "Co2+" ]
true
null
null
null
null
null
null
null
false
false
false
false
true
[-4.541137218475342,7.85545539855957,-3.3180861473083496,4.208621501922607,2.9117605686187744,8.2780(...TRUNCATED)
End of preview. Expand in Data Studio

Dataset Card for xpanceo-team/materials-project

Dataset Summary

This dataset is a snapshot of the Materials Project (MP) materials database, exported from the MP Summary endpoint using mp-api.

Snapshot date: 2026-01-18.

The structure column stores pymatgen Structure JSON serialized as a string.

Important: For several rich/large MP sub-documents (e.g. XAS, DOS, band structure), this dataset stores only availability flags (*_is_available) rather than the full objects.

Source

Upstream data source: the Materials Project database and API documentation.

Materials Project is an open resource for computed materials properties and structures, built using high-throughput DFT workflows and a curated data model.

Preprocessing

Structures and properties were downloaded using mp-api (version 0.45.15) with MPRester.materials.summary.search().

The export used a fixed field list:

  • “regular” scalar fields (energetics, electronic structure, magnetism, elasticity-related, dielectric-related),
  • material_id, structure, and symmetry (used to derive space_group_number and crystal_system),
  • availability checks for selected Emmet (internal document model) sub-documents: xas, bandstructure, dos, decomposes_to, types_of_magnetic_species.

Dataset Structure

Data Instances

Each row corresponds to one Materials Project entry identified by material_id (e.g., mp-149), with an associated crystal structure and computed properties.

Data Fields

  • material_id (string): Materials Project material identifier (e.g., mp-149).
  • formula (string): Reduced chemical formula string.
  • structure (string): pymatgen Structure JSON (serialized) for the entry’s structure.
  • space_group_number (int): International space group number from mp_doc.symmetry.number.
  • crystal_system (string): Crystal system label from mp_doc.symmetry.crystal_system.
  • deprecated (bool): Whether the entry is marked deprecated upstream.

Energetics / thermodynamics:

  • uncorrected_energy_per_atom (float)
  • energy_per_atom (float)
  • formation_energy_per_atom (float)
  • energy_above_hull (float)
  • is_stable (bool)
  • equilibrium_reaction_energy_per_atom (float)

Electronic structure:

  • band_gap (float)
  • cbm (float)
  • vbm (float)
  • efermi (float)
  • is_gap_direct (bool)
  • is_metal (bool)

Magnetism (when available):

  • is_magnetic (bool)
  • ordering (string)
  • total_magnetization (float)
  • total_magnetization_normalized_vol (float)
  • total_magnetization_normalized_formula_units (float)
  • num_magnetic_sites (int)
  • num_unique_magnetic_sites (int)

Additional properties (when available):

  • universal_anisotropy (float)
  • homogeneous_poisson (float)
  • e_total (float)
  • e_ionic (float)
  • e_electronic (float)
  • n (float)
  • e_ij_max (float)

Composition helpers:

  • possible_species (list[string])
  • theoretical (bool)

Availability flags (full objects are not included in this dataset):

  • xas_is_available (bool)
  • bandstructure_is_available (bool)
  • dos_is_available (bool)
  • decomposes_to_is_available (bool)
  • types_of_magnetic_species_is_available (bool)

Note: Numeric fields are preserved as-is from the MP Summary documents. Refer to official Materials Project documentation for definitions and conventions.

Data Splits

Single split:

  • train: 210,579 examples

Usage

Load the dataset:

from datasets import load_dataset

ds = load_dataset("xpanceo-team/materials-project", split="train")
print(ds)
print(ds.column_names)

Convert to pandas (may be heavy depending on memory):

df = ds.to_pandas()

Parse structure with pymatgen:

from pymatgen.core import Structure

row = ds[0]
structure = Structure.from_str(row["structure"], fmt="json")

print(structure.composition, len(structure))

Citation

If you use this dataset, please cite the upstream Materials Project publication and acknowledge this Hugging Face repackaging.

@article{Jain2013MaterialsProject,
  title   = {Commentary: The Materials Project: A materials genome approach to accelerating materials innovation},
  author  = {Jain, Anubhav and Ong, Shyue Ping and Hautier, Geoffroy and Chen, Wei and Richards, William Davidson and Dacek, Stephen and Cholia, Shreyas and Gunter, Dan and Skinner, David and Ceder, Gerbrand and Persson, Kristin A.},
  journal = {APL Materials},
  year    = {2013},
  volume  = {1},
  number  = {1},
  pages   = {011002},
  doi     = {10.1063/1.4812323}
}

License

This dataset is distributed under Creative Commons Attribution 4.0 (CC BY 4.0), consistent with Materials Project’s CC BY 4.0 terms..

If you use or redistribute this dataset (including derivatives), please cite Materials Project (see Citation) and indicate if you made changes, as required by CC BY 4.0.

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