Croissant

MLCommons Croissant describes a dataset — not rows. KiwiFS imports one Croissant document as one page: the dataset description lands in frontmatter, and the column schema lands in kiwi-data blocks so you can query it with DQL.

Import

URL
File

kiwifs import --from croissant --url https://www.kaggle.com/datasets/OWNER/NAME/croissant/download --root ./knowledge

kiwifs import --from croissant --file croissant.json --root ./knowledge

Query the schema

TABLE name, dtype, column, source-file
FROM RECORDS "dataset-schema"
WHERE dtype = "float"

Croissant is JSON-LD. The importer expands the document to absolute IRIs before reading it, so two emitters can use different property names for the same dataset. Contexts resolve offline: an inline @context (what Kaggle and Hugging Face emit) and the well-known MLCommons context URL both work with no network. Any other remote context is refused rather than fetched.

Import overview

All supported sources.

Widgets

kiwi-data blocks and FROM RECORDS.

Last modified on August 20, 2026

Getting Started

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Deployment

Import

Query the schema

Import overview

Widgets

​Import

​Query the schema

​Related

Import overview

Widgets

Import

Query the schema

Related