matbench_properties / README.md
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---
language:
- en
pretty_name: Matbench
tags:
- multi-task
- datasets
- pytorch
- tar
configs:
- config_name: default
data_files:
- split: matbench_dielectric
path: matbench_dielectric.tar.gz
- split: matbench_phonons
path: matbench_phonons.tar.gz
- split: matbench_perovskites
path: matbench_perovskites.tar.gz
- split: matbench_jdft2d
path: matbench_jdft2d.tar.gz
- split: matbench_log_gvrh
path: matbench_log_gvrh.tar.gz
- split: matbench_mp_e_form
path: matbench_mp_e_form.tar.gz
- split: matbench_log_kvrh
path: matbench_log_kvrh.tar.gz
- split: matbench_mp_is_metal
path: matbench_mp_is_metal.tar.gz
- split: matbench_mp_gap
path: matbench_mp_gap.tar.gz
---
# matbench
This repository contains copy of the matbench dataset, a multi-task dataset for materials property prediction.
NOTE: not all tasks are uploaded here. This is an unfinished repo.
## Available tasks (splits)
- `matbench_dielectric`
- `matbench_phonons`
- `matbench_perovskites`
- `matbench_jdft2d`
- `matbench_log_gvrh`
- `matbench_mp_e_form`
- `matbench_log_kvrh`
- `matbench_mp_is_metal`
- `matbench_mp_gap`
Each `<task>.tar.gz` archive corresponds to a split named `<task>` and contains the original files
(e.g., `.pt` tensors and a `summary.json`) from the corresponding task directory.
the summary.json contains fold/split indexing.
## Loading with 🤗 Datasets