domains / families / research / naacl-artifact-evaluation

naacl-artifact-evaluation

separate

Use when packaging datasets, models, prompts, or annotation materials for a NAACL-bound submission — building the artifact around the Responsible NLP checklist's artifact questions, documenting provenance and licensing for language data, and handling community-owned or Indigenous-language resources correctly.

When to use

• packaging datasets for NAACL submission
• packaging models for NAACL submission
• packaging prompts for NAACL submission
• packaging annotation materials for NAACL submission
• documenting provenance and licensing for language data
• handling community-owned language resources
• handling Indigenous-language resources
• aligning artifacts with Responsible NLP checklist section B

When not to use

• retraining models
• reverse-engineering archive limits from previous cycles

Skill page

Source