Specialized in the MLCommons Croissant metadata specification. Can generate, validate, and serialize dataset metadata into compliant JSON-LD.
Core functionality: Transforms a structured metadata JSON into the final Croissant format. Output files are designed to pass the official Croissant validator and are stored locally in ./data/croissant/ as JSON-LD files.
To use this skill, simply ask the AI agent:
Use the Croissant Expert skill to generate Croissant metadata from <INPUT_METADATA_JSON>.
The input JSON should follow this structure:
name: Stringdescription: Stringurl: Stringlicense: Stringdistribution: List ofFileObjectorFileSetrecordSet: List ofRecordSetwithfieldsandsourceinformation.
- Spec Interpretation: Access to the latest MLCommons Croissant standard.
- JSON-LD Generation: Deep understanding of
@context,@type, and linked data principles. - NLP Enrichment: Using the
--nlpflag, it automatically detects creators, locations, and dates from the description or provided text to populate Schema.org properties. - Validation-Ready: Output files are designed to pass the official Croissant validator.