QQ: A Language Metadata Toolkit for Multilingual NLP
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Abstract (arXiv)
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 a language. We demonstrate QQ on three workflows: an audit of the HuggingFace Hub, linking resources that use different identifier systems, and generating reproducible language-reporting tables. QQ supports FAIR-oriented metadata practices through versioning, open formats, and reusable interfaces.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 10 of its 36 references that are in the map. First posted on arXiv 28 Feb 2026.
Builds on
10 of 36 references.
References · 10
- 2020The State and Fate of Linguistic Diversity and Inclusion in the NLP Worldcited by 789
- 2021Datasets: A Community Library for Natural Language Processingcited by 526
- 2020Universal Dependencies v2: An Evergrowing Multilingual Treebank Collectioncited by 269
- 2025FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Languagecited by 134
- 2023Glot500: Scaling Multilingual Corpora and Language Models to 500 Languagescited by 116
- 2022SERENGETI: Massively Multilingual Language Models for Africacited by 40
- 2023GlotScript: A Resource and Tool for Low Resource Writing System Identificationcited by 15
- 2025Confounding Factors in Relating Model Performance to Morphologycited by 14
- 2025Beyond Weaponization: NLP Security for Medium and Lower-Resourced Languages in Their Own Rightcited by 2
- 2026Typologically Informed Parameter Aggregationcited by 1
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Citing papers per year: 2026: 1.
1 paper.