Datasets:
| pretty_name: Solid-State Battery (SSB) Screening – SSL Corpus | |
| tags: | |
| - materials-science | |
| - crystallography | |
| - battery | |
| - self-supervised-learning | |
| - parquet | |
| task_categories: | |
| - feature-extraction | |
| # Solid-State Battery (SSB) Screening – SSL Corpus | |
| This dataset contains crystal structures sourced from the Materials Project and | |
| optional external structure corpora for self-supervised and weakly supervised | |
| representation learning in solid-state battery electrolyte screening. | |
| ## Format | |
| - Parquet (Arrow) with ZSTD compression | |
| - One row per structure | |
| - Fields: `mp_id`, `source`, `elements`, `atomic_numbers`, `fractional_coords`, `lattice`, `spacegroup_number`, `reduced_formula`, `tier`, and optional metadata | |
| ## Tiers | |
| - `electrolyte_relevant` | |
| - `general_inorganic` | |
| - `hard_negative` | |