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dataset_info:
features:
- name: material_id
dtype: string
- name: formula
dtype: string
- name: space_group_number
dtype: int64
- name: crystal_system
dtype: string
- name: structure
dtype: string
- name: deprecated
dtype: bool
- name: uncorrected_energy_per_atom
dtype: float64
- name: energy_per_atom
dtype: float64
- name: formation_energy_per_atom
dtype: float64
- name: energy_above_hull
dtype: float64
- name: is_stable
dtype: bool
- name: equilibrium_reaction_energy_per_atom
dtype: float64
- name: band_gap
dtype: float64
- name: cbm
dtype: float64
- name: vbm
dtype: float64
- name: efermi
dtype: float64
- name: is_gap_direct
dtype: bool
- name: is_metal
dtype: bool
- name: is_magnetic
dtype: bool
- name: ordering
dtype: string
- name: total_magnetization
dtype: float64
- name: total_magnetization_normalized_vol
dtype: float64
- name: total_magnetization_normalized_formula_units
dtype: float64
- name: num_magnetic_sites
dtype: int64
- name: num_unique_magnetic_sites
dtype: int64
- name: possible_species
list: string
- name: theoretical
dtype: bool
- name: e_total
dtype: float64
- name: e_ionic
dtype: float64
- name: e_electronic
dtype: float64
- name: n
dtype: float64
- name: universal_anisotropy
dtype: float64
- name: homogeneous_poisson
dtype: float64
- name: e_ij_max
dtype: float64
- name: xas_is_available
dtype: bool
- name: bandstructure_is_available
dtype: bool
- name: dos_is_available
dtype: bool
- name: decomposes_to_is_available
dtype: bool
- name: types_of_magnetic_species_is_available
dtype: bool
splits:
- name: train
num_bytes: 1480702502
num_examples: 210579
download_size: 473873714
dataset_size: 1480702502
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc-by-4.0
pretty_name: Materials Project
size_categories:
- 100K<n<1M
tags:
- materials-science
- crystal-structures
- pymatgen
---
# 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:
```python
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):
```python
df = ds.to_pandas()
```
Parse `structure` with pymatgen:
```python
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.
```bibtex
@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. |