Datasets:
Croissant validation
Generated with:
python scripts/generate_croissant.py
Validated locally with the official mlcroissant CLI:
mlcroissant validate --jsonld=croissant.json --debug
Result: PASS with no errors or warnings. The metadata describes 30 Parquet distributions, 30 record sets and 625 validator-safe scalar/simple-array fields. Nested Parquet struct columns remain in the distributed files but are omitted from RecordSet field declarations because current mlcroissant record generation cannot reliably cast them.
Local artifact consistency was also checked with:
python scripts/validate_artifact.py
Result: PASS. All described local Parquet files exist, their schemas match the Croissant fields, required RAI keys are present, and local Markdown links resolve.
After uploading to Salesforce/BehaviorBench, rerun the NeurIPS online validator against the final public URLs and upload the validated JSON to OpenReview.