torchcell.knowledge_graphs.kg_manifest.KgDatasetEntry

class KgDatasetEntry(*, dataset_class: str, loader_relpath: str, adapter_files: list[str], closure: dict[str, str], visibility: Literal['public', 'private'] = 'public', organism: Literal['scerevisiae', 'ecoli', 'pputida'] | None = None, n_experiments: int | None = None, biocypher_out: str, import_mode: Literal['full', 'incremental'], admitted_at: str, torchcell_commit: str | None = None, content_sha256: str | None = None, superset_of: SupersetLineage | None = None, artifact_refs: list[ArtifactPointer] | None = None)

Bases: BaseModel

A dataset as it exists in the served store.

model_config: ClassVar[ConfigDict] = {}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].