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Specialized in the MLCommons Croissant metadata specification. Can generate, validate, and serialize dataset metadata into compliant JSON-LD.
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| name | croissant_expert |
| description | Specialized in the MLCommons Croissant metadata specification. Can generate, validate, and serialize dataset metadata into compliant JSON-LD. |
The Croissant Expert skill provides the core logic for working with the MLCommons Croissant specification. It is responsible for taking dataset descriptions and turning them into 100% compliant JSON-LD metadata files.
Croissant files are stored locally in ./data/croissant/ as JSON-LD files.
Transforms a structured metadata JSON into the final Croissant format.
Usage:
# Standard serialization
python3 croissant_expert/scripts/serialize.py <INPUT_METADATA_JSON> [OUTPUT_JSON_LD]
# Serialization with Intelligent NLP enrichment
# Automatically detects creators, locations, and dates from the description.
python3 croissant_expert/scripts/serialize.py <INPUT_METADATA_JSON> --nlp
Metadata Schema: The input JSON should follow this structure:
name: Stringdescription: Stringurl: Stringlicense: Stringdistribution: List of FileObject or FileSetrecordSet: List of RecordSet with fields and source information.@context, @type, and linked data principles.