Struct DatasetInfo 

#[non_exhaustive]
pub struct DatasetInfo {
    pub dataset_type: Option<String>,
    pub sensitivity_classifications: Vec<String>,
    pub governance_owners: Vec<String>,
    pub intended_use: Option<String>,
    pub confidentiality_level: Option<String>,
    pub preprocessing: Vec<String>,
    pub anonymization: Vec<String>,
}

Dataset component metadata (CycloneDX 1.5+ data type)

Structured information about datasets, including type, sensitivity, governance, and content properties.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

dataset_type: Option<String>

Dataset type: “training”, “testing”, “validation”, “evaluation”

sensitivity_classifications: Vec<String>

Sensitivity classifications: “sensitive”, “confidential”, “pii”, etc.

governance_owners: Vec<String>

Data governance owners/custodians

intended_use: Option<String>

Intended use of the dataset (SPDX 3.0 Dataset profile dataset_intendedUse). Part of the BSI/G7 SBOM-for-AI “Datasets” cluster provenance / intended-use element.

confidentiality_level: Option<String>

Confidentiality level of the dataset (SPDX 3.0 Dataset profile dataset_confidentialityLevel). Distinct from the sensitivity classifications above, which already fold this in for AI-Act scoring; retained verbatim here for the BSI sensitivity-classification element.

preprocessing: Vec<String>

Data-preprocessing steps applied to the dataset (SPDX 3.0 Dataset profile dataset_dataPreprocessing). Surfaced for the BSI/G7 SBOM-for-AI “Datasets” cluster provenance element.

anonymization: Vec<String>

Anonymization methods applied to the dataset (SPDX 3.0 Dataset profile dataset_anonymizationMethodUsed). Surfaced for the BSI/G7 SBOM-for-AI “Datasets” cluster provenance element.

Trait Implementations

impl Clone for DatasetInfo

fn clone(&self) -> DatasetInfo

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for DatasetInfo

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for DatasetInfo

fn default() -> DatasetInfo

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for DatasetInfo

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Eq for DatasetInfo

impl PartialEq for DatasetInfo

fn eq(&self, other: &DatasetInfo) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for DatasetInfo

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for DatasetInfo