--- pretty_name: LULA Data Public Train/Test license: other tags: - bioactivity - chemistry - protein-ligand-binding configs: - config_name: default data_files: - split: train path: data/train/*.parquet - split: test path: data/test/*.parquet --- # LULA Data Public Train/Test This dataset contains 6,819,817 protein-small-molecule pairs with binary bioactivity labels and fixed train/test splits. ## Fields - `pair_id`: stable identifier for the protein-molecule pair. - `canonical_smiles`: canonical molecule SMILES. - `protein_sequence`: amino-acid sequence. - `uniprot_id`: normalized UniProt identifier. - `label`: `1` for binder/active and `0` for non-binder/inactive. - `split`: `train` or `test`. - `sources`: public databases contributing evidence for the pair. - `evidence_count`: number of contributing source records. ## Splits | Split | Rows | Non-binder (`0`) | Binder (`1`) | | --- | ---: | ---: | ---: | | train | 6,137,835 | 1,321,443 | 4,816,392 | | test | 681,982 | 179,488 | 502,494 | ## Provenance The dataset aggregates publicly available bioactivity records from BindingDB, ChEMBL, GLASS2, GtoPdb, NPASS, Papyrus, and TTD. The `sources` field records which databases contributed evidence to each pair. ## License and attribution This dataset uses the Hugging Face `other` license designation because the contributing databases retain their own licenses and terms. Please cite the source databases named in each row's `sources` field: - [BindingDB](https://www.bindingdb.org/) - [ChEMBL](https://www.ebi.ac.uk/chembl/) - [GLASS2](https://zhanggroup.org/GLASS/) - [IUPHAR/BPS Guide to PHARMACOLOGY](https://www.guidetopharmacology.org/) - [NPASS](https://bidd.group/NPASS/) - [Papyrus](https://doi.org/10.1186/s13321-022-00672-x) - [Therapeutic Target Database](https://db.idrblab.net/ttd/) The original source records remain subject to the licenses and terms of their source databases. Om's normalization and aggregation do not replace those source-specific terms. ## Label interpretation `0` indicates an inactive or non-binding classification in the contributing source data. It does not mean binding is impossible under every experimental condition.