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papersSEP 10 04:00 UTC

AtlasNLP tracks which countries are represented in NLP datasets

Researchers have released AtlasNLP, a resource that maps how well individual countries are covered across NLP training datasets. The work addresses the fact that geographic metadata is seldom attached to datasets, leaving gaps in coverage hard to detect. The authors position the atlas as a tool for guiding data collection and informing AI policy decisions.

AtlasNLPai-policydata-provenancedataset-coveragegeographic-representationnlp-datasets

COVERAGE · 2 REPORTS · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.AIAtlasNLP: A Country-Aware Atlas of Dataset Representation in NLP ↗SEP 10 04:00 UTC
arXiv cs.CLAtlasNLP: A Country-Aware Atlas of Dataset Representation in NLP ↗SEP 10 04:00 UTC

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