QQ: A Language Metadata Toolkit for Multilingual NLP
Abstract
Multilingual NLP research increasingly involves hundreds or thousands of languages across different datasets.Managing, discovering, and reporting language metadata becomes a common hurdle at these scales.We present QQ, a metadata toolkit and browser explorer.QQ compiles language metadata sources into a graph of language varieties, scripts, regions, identifiers, names, and relations, and exposes it through a Python API, a command-line interface, and a browser-based explorer.Users can normalize identifiers, retrieve metadata, traverse relations, and discover which external resources contain which languages.We demonstrate QQ on three workflows: an audit of the HuggingFace Hub, linking resources that use different identifier systems, and generating language-reporting tables.QQ supports FAIRoriented metadata practices through versioning, open formats, and reusable interfaces.Explorer
Fields of Study & Subjects
Natural Language Processing Techniques
Research Data Management Practices
Topic Modeling
Publication details
- Journal / source
- Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP)
- Pages
- 275–285
- Publication date
- 1 January 2026
- Language
- EN