| # FAQ |
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| ### What makes this different from downloading MP/OQMD/JARVIS directly? |
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| Three things: **integration**, **repair**, and **proof**. We don't just concatenate |
| databases. We deduplicate, repair known artifacts, compute missing metadata, |
| validate every entry, and — most importantly — we **prove** our quality scores |
| actually predict label reliability. |
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| ### Why 266k entries and not 817k (all OQMD)? |
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| We intentionally filtered OQMD to entries with phase diagrams (FE + EaH). The |
| full OQMD has 817k entries but many lack computed hull energies. For ML |
| training, 266k validated entries are more useful than 817k noisy ones. |
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| ### Why is OQMD 64% of the dataset? |
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| OQMD contributes more entries because it includes many metastable phases that |
| are relevant to battery applications. This is a feature, not a bug — but it |
| means source imbalance should be considered when training models. |
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| ### Why is there no score ≥ 90? |
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| Our scoring is intentionally conservative. A score of 90 would require perfect |
| metadata, perfect geometry, and exceptional novelty. Since all data is DFT-computed |
| (not experimentally verified), no entry meets this threshold. This is a design |
| choice that prevents score inflation. |
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| ### Why does the Electrolyte edition exclude OQMD? |
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| OQMD entries lacked space groups until recently computed (this release). They |
| also dominate the general dataset. For the Electrolyte benchmark edition, we |
| prioritize MP and JARVIS entries which have complete verified metadata. |
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| ### How do I cite the dataset? |
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| See [CITATION.cff](../CITATION.cff) or [citation.md](citation.md). |
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| ### Can I contribute data? |
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| We do not accept direct data contributions. New sources go through the full |
| validation pipeline. Contact us if you have a source to integrate. |
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| ### When will battery-specific properties (conductivity, migration) be added? |
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| Planned for v4.0. The current focus is on establishing the foundational dataset |
| as a trusted resource. |
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