datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
matpes
Dataset Summary
Potential energy surface datasets with near-complete coverage of the periodic table are used to train foundation
potentials (FPs), i.e., machine learning interatomic potentials (MLIPs) with near-complete coverage of the periodic
table. MatPES is an initiative by the Materialyze Lab and the Materials Project to address
critical deficiencies in such PES datasets for materials.
Accuracy. MatPES is computed using static DFT calculations with stringent converegence… See the full description on the dataset page: https://huggingface.co/datasets/materialyze/matpes.chinese-materials-science-open-intelligence
🔬 Chinese Materials Science & Metallurgy Open Intelligence Dataset
Curated open intelligence dataset providing English research briefs, authoritative DOIs, executive summaries, and high-resolution micrographs of breakthrough Chinese scientific research in Materials Science, Metallurgy, Advanced Alloys, and Mining Engineering.
[!IMPORTANT]
Data Completeness & Research Authenticity Notice:
Included in this Hugging Face Open Dataset: English structured abstracts, core… See the full description on the dataset page: https://huggingface.co/datasets/simpleG2023/chinese-materials-science-open-intelligence.isaac-material-properties
Isaac Material Property Seed Dataset
A lightweight material-property catalogue intended to support material
retrieval and automatic material assignment in NVIDIA Isaac Sim and related USD
simulation workflows.
The initial release contains 150 major material subgroups.
Schema
Identity fields:
material_description
material_class
material_family
Physical parameters:
rho: density, canonical unit kg/m^3
E: Young's modulus, canonical unit Pa
nu: Poisson's ratio… See the full description on the dataset page: https://huggingface.co/datasets/hcltech-robotics/isaac-material-properties.mp.eform.2018.6.1This is a replica of the Materials Project 2018.6.1 Formation Energy dataset at https://ndownloader.figshare.com/files/15087992
used in the original MEGNet publication.
For ease of use via HuggingFace.
spectrum-materials-load-tape
Spectrum Materials Load Tape
SHA-256-chained telemetry from a Ti-6Al-4V uniaxial tension path. Each line is one sealed state of a deterministic integration. Chain integrity is checked by recomputing every digest from the genesis frame to the tip.
Rows
1,502
Format
JSONL, one sealed frame per line
Integrator
Prescribed-strain stepping at 1000 Hz (dt = 0.001 s)
Tape cadence
0.1 s, plus yield onset and fracture
Duration
0 s to 150.0 s (fracture)
File… See the full description on the dataset page: https://huggingface.co/datasets/spiderpilot89/spectrum-materials-load-tape.