Datasets:
Languages:
English
Size:
10K<n<100K
Tags:
materials-science
chemistry
battery
solid-state-electrolyte
ionic-conductivity
activation-energy
License:
File size: 6,565 Bytes
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license: cc-by-4.0
task_categories:
- tabular-regression
- tabular-classification
language:
- en
tags:
- materials-science
- chemistry
- battery
- solid-state-electrolyte
- ionic-conductivity
- activation-energy
- lithium-ion
- DFT
- machine-learning
- materials-informatics
- battery-materials
- scandium-labs
pretty_name: Solid-State Battery Electrolyte Dataset — Ionic Conductivity & Activation Energy | Scandium Labs
size_categories:
- 10K<n<100K
configs:
- config_name: default
data_files: data/default/*.parquet
- config_name: verified
data_files: data/verified/*.parquet
- config_name: consensus
data_files: data/consensus/*.parquet
- config_name: gold_benchmark
data_files: data/gold_benchmark/*.parquet
---
[](LICENSE)
[](https://huggingface.co/datasets/Scandium-Labs/solid-state-electrolyte-conductivity/tree/main)
[](https://huggingface.co/datasets/Scandium-Labs/solid-state-electrolyte-conductivity)
[](https://huggingface.co/datasets/Scandium-Labs/solid-state-electrolyte-conductivity/tree/main/verified)
[](https://github.com/ScandiumLabs-in/Scandium-Labs-Solid-State-Battery-Dataset)
[](https://scandium-labs.com)
# Solid-State Battery Electrolyte Dataset — Ionic Conductivity & Activation Energy
The Scandium Labs Solid-State Battery Electrolyte Dataset provides
literature-verified **ionic conductivity** and **activation energy** labels for
**solid-state battery electrolyte** materials across 30,000+ Li-containing
structures — a provenance-tracked, ML-ready foundation for electrolyte discovery
and transport-property prediction.
A unified, provenance-tracked, ML-ready dataset of **solid-state battery
electrolyte** materials with literature-verified **ionic conductivity** and
**activation energy** labels — not just another Materials Project / JARVIS
structural dump. Every one of the **183 verified transport labels**
traces back to its source paper, page, and evidence sentence.
> **Honest scope:** the release contains **30838 bulk structural /
> thermodynamic DFT records** (Materials Project, JARVIS-DFT, COD, AFLOW, NOMAD,
> OQMD) plus **183 human-verified experimental conductivity/Ea labels**
> across 11 solid-state-electrolyte families, **427 materials with
> cross-paper consensus statistics**, and a **165-record gold benchmark**.
> The scarce verified labels are the asset; the bulk DFT rows are the
> structure/composition backbone for featurization.
## Companion Datasets
- **Scandium Labs SSB Dataset** (this dataset) — literature-verified ionic
conductivity & activation energy on the electrolyte transport bottleneck.
- [**Scandium-Dataset**](https://huggingface.co/datasets/Scandium-Labs/Scandium-Dataset) —
harmonized DFT structural & thermodynamic screening foundation (267,230
materials from Materials Project / OQMD / JARVIS-DFT) for the *earlier*
discovery-stage filter before transport prediction.
## Ionic Conductivity Data
The `verified` config holds the literature-verified σ_RT (S/cm) and activation
energy Ea (eV) labels for solid-state battery electrolytes. Each record carries
its source DOI, measurement temperature, measurement method, conductivity type,
and sentence-level provenance evidence.
## Solid-State Electrolyte Families
All 11 major families are covered: sulfides, oxides, garnets, perovskites,
NASICONs, halides, argyrodites, hydrides, borohydrides, antiperovskites, and
polymer/composites.
## How This Dataset Was Built
An automated multi-agent pipeline: source ingestion (8 connectors) → family
classification → literature mining & LLM-assisted extraction → deterministic
verification (Arrhenius consistency, unit normalization, cross-paper consensus)
→ human review → quality scoring → validation → release. The pipeline is fully
deterministic after ingestion; no LLM calls are required to reproduce any
artifact. Source code and pipeline docs: [Scandium Labs on GitHub](https://github.com/ScandiumLabs-in/Scandium-Labs-Solid-State-Battery-Dataset).
## Data Splits
Splits are grouped by composition-family key to prevent leakage between
polymorphs and doped variants of the same base composition. See
`splits_metadata.json` in the source repository for the exact assignment.
## Known Limitations
- 98% of quality-scored records sit in a single "silver" tier — honest, not a
scoring bug: experimental metadata (density, pressure, atmosphere) is sparse.
- Antiperovskites, hydrides, and borohydrides are under-covered relative to
sulfides/garnets — this reflects the field's publication volume, not a
sampling choice.
- Bulk DFT rows are **not** screened for solid-electrolyte relevance; check
`family` / `negative.*` flags before use.
- 150 AFLOW rows are restricted to non-commercial use (see Licensing below).
## Licensing
Scandium-authored content is CC-BY-4.0. Third-party records retain their source
licenses (Materials Project CC-BY-4.0, JARVIS-DFT CC0, OQMD CC-BY-4.0, COD CC0,
NOMAD CC-BY-4.0, **AFLOW non-commercial only**). Per-record source is in
`identity.source_db`. See `LICENSE` and `LICENSE_BREAKDOWN.md` for the full
per-source table and the "AS IS" warranty disclaimer.
## Citation
If you use this dataset in your research, please cite it:
```bibtex
@dataset{scandium_ssb_dataset_2026,
author = {Scandium Labs Team},
title = {Solid-State Battery Electrolyte Dataset — Ionic Conductivity \& Activation Energy},
year = 2026,
version = v1.9.0,
publisher = {Scandium Labs},
url = {https://huggingface.co/datasets/Scandium-Labs/solid-state-electrolyte-conductivity}
}
```
## Links
- [GitHub repository](https://github.com/ScandiumLabs-in/Scandium-Labs-Solid-State-Battery-Dataset) — pipeline source code, changelog, issue tracker
- [Scandium Labs](https://scandium-labs.com) — company site
- [Author portfolio](https://shamique-khan.vercel.app) — Shamique Khan
## Contact & Feedback
Open an issue on the [source repository](https://github.com/ScandiumLabs-in/Scandium-Labs-Solid-State-Battery-Dataset) for corrections, community
submissions, or questions.
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